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Q:
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine effective advertisement strategies for increasing the number of reservations. The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard. Customers making reservations will be asked if they saw the advertisement. In this experiment, the independent variable is a ________________.
a. treatment variable
b. classification variable
c. experimental variable
d. design variable
e. research variable
Q:
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine effective advertisement strategies for increasing the number of reservations. The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard. Customers making reservations will be asked if they saw the advertisement. In this experiment, the independent variable has how many levels?
a. 1
b. 2
c. 3
d. 4
e. 0
Q:
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine effective advertisement strategies for increasing the number of reservations. The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard. Customers making reservations will be asked if they saw the advertisement. In this experiment, the independent variable is ________________.
a. advertisement venue
b. bed and breakfast establishment
c. travel website
d. number of reservations
e. number of customer calls
Q:
Suppose the owners of a new bed and breakfast establishment are interested in conducting an experiment to determine effective advertisement strategies for increasing the number of reservations. The bed and breakfast owners intend to rotate advertisements for 12 weeks between a travel website, a travel magazine and a local billboard. Customers making reservations will be asked if they saw the advertisement. In this experiment, the dependent variable is ________________.
a. advertisement venue
b. bed and breakfast establishment
c. travel website
d. number of reservations
e. number of customer calls
Q:
Interaction effects in a factorial design can be analyzed in randomized block design.
Q:
The F value for treatment will always increase if we include a blocking effect.
Q:
In a randomized complete block design the conclusion might be that blocking is not necessary.
Q:
A completely randomized design has been analyzed by using a one-way ANOVA. There are three treatment groups in the design, and each sample size is four. The mean for group 1 is 25.00 and for group 3 it is 27.50. MSE is 3.19. Using α=0.05 there is a significant difference between these two groups.
Q:
The Tukey-Kramer procedure allows us to simultaneously examine all pairs of population means after the ANOVA test has been completed without increasing the true α level.
Q:
The Tukey-Kramer procedure is based on construction of confidence intervals for each pair of treatment means at a time.
Q:
Determining the table value for theF distribution requires two values for degrees of freedom.
Q:
The statistical methods of analysis of variance assume equal sample means.
Q:
The statistical methods of analysis of variance assume that the populations are normally distributed.
Q:
In analysis of variance tests a Fdistribution forms the basis for making the decisions.
Q:
Analysis of variance may be used to test the differences in the means of more than two independent populations.
Q:
An experimental design contains only independent variables.
Q:
In experimental design, a variable that the experimenter controls or modifies in the experiment is called a treatment variable.
Q:
In experimental design, a characteristic of the subjects that was present prior to the experiment and is not the result of the experimenter's manipulations or control is called a classification variable.
Q:
In an experimental design, treatment variables are response variables.
Q:
In experimental design, classification variables are independent variables.
Q:
To test hypotheses about the equality of two population variances, the ratio of the variances of the samples from the two populations is tested using the Ftest.
Q:
When finding a confidence interval for the difference between two population proportions we use the pooled estimate of the proportion.
Q:
When testing for the difference between two population proportions we use the pooled estimate of the proportion.
Q:
In conducting a matched-pairs hypothesis test, the null and alternative hypotheses always represent one-tailed tests.
Q:
Sets of matched samples are also referred to as dependent samples.
Q:
Hypothesis tests conducted on sets of matched samples are sometimes referred to as correlated t tests.
Q:
In a set of matched samples, each data value in one sample is related to or matched with a corresponding data value in the other sample.
Q:
In order to construct an interval estimate for the difference in the means of two normally distributed populations with unknown but equal variances, using two independent samples of size n1and n2, we must use a tdistribution with (n1 + n2 − 2) degrees of freedom.
Q:
In order to construct an interval estimate for the difference in the means of two normally distributed populations with unknown but equal variances, using two independent samples of size n1and n2, we must use a tdistribution with (n1 + n2 -1) degrees of freedom.
Q:
If the populations are normally distributed and the variances of the two populations are not equal, it is appropriate to use the "unpooled" formula to determine the t-statistic for the hypothesis test of the difference in the two population means.
Q:
If the populations are normally distributed and the variances of the two populations are equal, it is appropriate to use the "pooled" formula to determine the t-statistic for the hypothesis test of the difference in the two population means.
Q:
If the variances of the two populations are not equal, it is appropriate to use the "pooled" formula to determine the t-statistic for the hypothesis test of the difference in the two population means.
Q:
If the populations are normally distributed but the population variances are unknown the t-statistic can be used as the basis for statistical inferences about the difference in two population means using two independent random samples.
Q:
If the populations are normally distributed but the population variances are unknown the z-statistic can be used as the basis for statistical inferences about the difference in two population means using two independent random samples.
Q:
If a 90% confidence interval for the difference in the two population means contains zero, then the null hypothesis of zero difference between the two population means cannot be rejected at a 0.10 level of significance.
Q:
If a 98% confidence interval for the difference in the two population means does not contain zero, then the null hypothesis of zero difference between the two population means cannot be rejected at a 0.02 level of significance.
Q:
If the sample sizes are small, but the populations are normally distributed and the population variances are known, the z-statistic can be used as the basis for statistical inferences about the difference in two population means using two independent random samples.
Q:
If the sample sizes are greater than 30 and the population variances are known, the basis for statistical inferences about the difference in two population means using two independent random samples is the z-statistic, regardless of the shapes of the population distributions.
Q:
The difference in two sample means is normally distributed for sample sizes ≥30, only if the populations are normally distributed.
Q:
To determine if there is a difference in the speed of a wireless router from two different manufacturers a network manager will draw independent samples of wireless routers from the two manufacturers and compare the difference in the sample means for the connection speed.
Q:
A researcher believes a new diet should improve weight gain. To test his hypothesis a random sample of 10 people on the old diet and an independent random sample of 10 people on the new diet were selected. The selected people on the old diet gain an average of 5 pounds with a standard deviation of 2 pounds, while the average gain for selected people on the new diet was 8 pounds with a standard deviation of 1.5 pounds. Assuming that the values are normally distributed in each population, the researcher would like to use the t procedure with pooled standard deviation using the F test. Usinga = 0.05, the observed Fvalue is _______.a) 1.78b) 3.79c) -3.79d) 3.18e) 1.33
Q:
Tamara Hill, fund manager of the Hill Value Fund, manages a portfolio of 250 common stocks. Tamara is searching for a 'low risk' issue to add to the portfolio, i.e., one with a price variance less than that of the S&P 500 index. Moreover, she assumes an issue is not 'low risk' until demonstrated otherwise. Her staff reported that during the last nine quarters the price variance for the S&P 500 index (population 1) was 25, and for the last seven quarters the price variance for XYC common (population 2) was 6. Assume that stock prices are normally distributed in the population. Usinga= 0.05, the appropriate decision is _______.
a) reject the null hypothesis 12 = 22
b) reject the null hypothesis 12 22
c) do not reject the null hypothesis12 = 22
d) do not reject the null hypothesis12 22
e) maintain status quo
Q:
Tamara Hill, fund manager of the Hill Value Fund, manages a portfolio of 250 common stocks. Tamara is searching for a 'low risk' issue to add to the portfolio, i.e., one with a price variance less than that of the S&P 500 index. Moreover, she assumes an issue is not 'low risk' until demonstrated otherwise. Her staff reported that during the last nine quarters the price variance for the S&P 500 index (population 1) was 25, and for the last seven quarters the price variance for XYC common (population 2) was 6. Assume that stock prices are normally distributed in the population. Usinga = 0.05, the observed Fvalue is _______.
a) 17.36
b) 2.04
c) 0.24
d) 4.77
e) 4.17
Q:
Tamara Hill, fund manager of the Hill Value Fund, manages a portfolio of 250 common stocks. Tamara is searching for a 'low risk' issue to add to the portfolio, i.e., one with a price variance less than that of the S&P 500 index. Moreover, she assumes an issue is not 'low risk' until demonstrated otherwise. Her staff reported that during the last nine quarters the price variance for the S&P 500 index (population 1) was 25, and for the last seven quarters the price variance for XYC common (population 2) was 8. Assume that stock prices are normally distributed in the population. Using a= 0.05, the appropriate decision is _______.
a) reject the null hypothesis 12 = 22
b) reject the null hypothesis 12 22
c) do not reject the null hypothesis12 = 22
d) do not reject the null hypothesis12 22
e) do nothing
Q:
Tamara Hill, fund manager of the Hill Value Fund, manages a portfolio of 250 common stocks. Tamara is searching for a 'low risk' issue to add to the portfolio, i.e., one with a price variance less than that of the S&P 500 index. Moreover, she assumes an issue is not 'low risk' until demonstrated otherwise. Her staff reported that during the last nine quarters the price variance for the S&P 500 index (population 1) was 25, and for the last seven quarters the price variance for XYC common (population 2) was 8. Assume that stock prices are normally distributed in the population. Usinga= 0.05, the observed Fvalue is _______.
a) 3.13
b) 0.32
c) 1.77
d) 9.77
e) 9.87
Q:
Tamara Hill, fund manager of the Hill Value Fund, manages a portfolio of 250 common stocks. Tamara is searching for a 'low risk' issue to add to the portfolio, i.e., one with a price variance less than that of the S&P 500 index. Moreover, she assumes an issue is not 'low risk' until demonstrated otherwise. Her staff reported that during the last nine quarters the price variance for the S&P 500 index (population 1) was 25, and for the last seven quarters the price variance for XYC common (population 2) was 8. Assume that stock prices are normally distributed in the population. Usinga= 0.05, the critical Fvalue is _______.
a) 3.68
b) 3.58
c) 4.15
d) 3.29
e) 4.89
Q:
Tamara Hill, fund manager of the Hill Value Fund, manages a portfolio of 250 common stocks. Tamara is searching for a 'low risk' issue to add to the portfolio, i.e., one with a price variance less than that of the S&P 500 index. Moreover, she assumes an issue is not 'low risk' until demonstrated otherwise. Her staff reported that during the last nine quarters the price variance for the S&P 500 index (population 1) was 25, and for the last seven quarters the price variance for XYC common (population 2) was 8. Assume that stock prices are normally distributed in the population. Usinga= 0.05, Tamara's alternate hypothesis is _______.
a) 12 = 22
b) 12 22
c) 12 > 22
d) 12 < 22
e) s12< s22
Q:
Tamara Hill, fund manager of the Hill Value Fund, manages a portfolio of 250 common stocks. Tamara is searching for a 'low risk' issue to add to the portfolio, i.e., one with a price variance less than that of the S&P 500 index. Moreover, she assumes an issue is not 'low risk' until demonstrated otherwise. Her staff reported that during the last nine quarters the price variance for the S&P 500 index (population 1) was 25, and for the last seven quarters the price variance for XYC common (population 2) was 8. Assume that stock prices are normally distributed in the population. Usinga= 0.05, Tamara's null hypothesis is _______.
a) 12 = 22
b) 12 22
c) 12 > 22
d) 12 < 22
e) s12 < s22
Q:
Collinsville Construction Company purchases steel rods for its projects. Based on previous tests, Claude Carter, Quality Assurance Manager, has recommended purchasing rods from Redding Rods, Inc. (population 1), rather than Stockton Steel (population 2), since Redding's rods had less variability in length. Recently, Stockton revised it rod shearing operation, and Claude has sampled the outputs from Redding's and Stockton's rod manufacturing processes. The results for Redding were s12= 0.15 with n1= 8, and, for Stockton, the results were s22= 0.05 with n2= 10. Assume that rod lengths are normally distributed in the population. If a= 0.05, the appropriate decision is _________.
a) reject the null hypothesis 12 = 22
b) reject the null hypothesis 12 < 22
c) do not reject the null hypothesis 12 = 22
d) do not reject the null hypothesis 12 < 22
e) do nothing
Q:
Collinsville Construction Company purchases steel rods for its projects. Based on previous tests, Claude Carter, Quality Assurance Manager, has recommended purchasing rods from Redding Rods, Inc. (population 1), rather than Stockton Steel (population 2), since Redding's rods had less variability in length. Recently, Stockton revised it rod shearing operation, and Claude has sampled the outputs from Redding's and Stockton's rod manufacturing processes. The results for Redding were s12= 0.15 with n1= 8, and, for Stockton, the results were s22= 0.04 with n2= 10. Assume that rod lengths are normally distributed in the population If a= 0.05, the observed Fvalue is ___________.
a) 0.27
b) 0.52
c) 1.92
d) 3.75
e) 4.25
Q:
Collinsville Construction Company purchases steel rods for its projects. Based on previous tests, Claude Carter, Quality Assurance Manager, has recommended purchasing rods from Redding Rods, Inc. (population 1), rather than Stockton Steel (population 2), since Redding's rods had less variability in length. Recently, Stockton revised it rod shearing operation, and Claude has sampled the outputs from Redding's and Stockton's rod manufacturing processes. The results for Redding were s12= 0.10 with n1= 8, and, for Stockton, the results were s22= 0.05 with n2= 10. Assume that rod lengths are normally distributed in the population If a= 0.05, the appropriate decision is ________.
a) reject the null hypothesis 12 = 22
b) reject the null hypothesis 12 < 22
c) do not reject the null hypothesis 12 = 22
d) do not reject the null hypothesis 12 < 22
e) do nothing
Q:
Collinsville Construction Company purchases steel rods for its projects. Based on previous tests, Claude Carter, Quality Assurance Manager, has recommended purchasing rods from Redding Rods, Inc. (population 1), rather than Stockton Steel (population 2), since Redding's rods had less variability in length. Recently, Stockton revised it rod shearing operation, and Claude has sampled the outputs from Redding's and Stockton's rod manufacturing processes. The results for Redding were s12= 0.10 with n1= 8, and, for Stockton, the results were s22= 0.05 with n2= 10. Assume that rod lengths are normally distributed in the population. If a= 0.05, the observed Fvalue is ___________.
a) 0.50
b) 2.00
c) 1.41
d) 0.91
e) 0.71
Q:
Collinsville Construction Company purchases steel rods for its projects. Based on previous tests, Claude Carter, Quality Assurance Manager, has recommended purchasing rods from Redding Rods, Inc. (population 1), rather than Stockton Steel (population 2), since Redding's rods had less variability in length. Recently, Stockton revised it rod shearing operation, and Claude has sampled the outputs from Redding's and Stockton's rod manufacturing processes. The results for Redding were s12= 0.10 with n1= 8, and, for Stockton, the results were s22= 0.05 with n2= 10. Assume that rod lengths are normally distributed in the population. If a= 0.05, the critical Fvalue is _____________.
a) 3.68
b) 3.29
c) 3.50
d) 3.79
e) 3.99
Q:
Collinsville Construction Company purchases steel rods for its projects. Based on previous tests, Claude Carter, Quality Assurance Manager, has recommended purchasing rods from Redding Rods, Inc. (population 1), rather than Stockton Steel (population 2), since Redding's rods had less variability in length. Recently, Stockton revised it rod shearing operation, and Claude has sampled the outputs from Redding's and Stockton's rod manufacturing processes. The results for Redding were s12= 0.10 with n1= 8, and, for Stockton, the results were s22= 0.05 with n2= 10. Assume that rod lengths are normally distributed in the population. Claude's alternative hypothesis is _____________.
a) 12 = 22
b) 12 22
c) 12 > 22
d) 12 < 22
e) s12 < s22
Q:
Collinsville Construction Company purchases steel rods for its projects. Based on previous tests, Claude Carter, Quality Assurance Manager, has recommended purchasing rods from Redding Rods, Inc. (population 1), rather than Stockton Steel (population 2), since Redding's rods had less variability in length. Recently, Stockton revised it rod shearing operation, and Claude has sampled the outputs from Redding's and Stockton's rod manufacturing processes. The results for Redding were s12= 0.10 with n1= 8, and, for Stockton, the results were s22= 0.05 with n2= 10. Assume that rod lengths are normally distributed in the population. Claude's null hypothesis is ________________.
a) 12 = 22
b) 12 22
c) 12 > 22
d) 12 < 22
e) s12 < s22
Q:
A random sample of 400 items from a population shows that 160 of the sample items possess a given characteristic. A random sample of 400 items from a second population resulted in 110 of the sample items possessing the characteristic. Using this data, a 99% confidence interval is constructed to estimate the difference in population proportions which possess the given characteristic. The resulting confidence interval is _______.
a) 0.06 to 0.19
b) 0.05 to 0.22
c) 0.09 to 0.16
d) 0.04 to 0.21
e) 0.05 to 0.23
Q:
A researcher is interested in estimating the difference in two population proportions. A sample of 400 from each population results in sample proportions of .61 and .64. A 90% confidence interval for the difference in the population proportions is _______.
a) -0.10 to 0.04
b) -0.09 to 0.03
c) -0.11 to 0.05
d) -0.07 to 0.01
e) -0.08 to 0.12
Q:
A researcher is interested in estimating the difference in two population proportions. A sample of 400 from each population results in sample proportions of .61 and .64. The point estimate of the difference in the population proportions is _______.
a) -0.030
b) 0.625
c) 0.000
d) 0.400
e) 0.500
Q:
A university administrator believes that business students are more likely to be working and going to school than their liberal arts majors. This information may lead to the business school offering courses in the evening hours while the liberal arts college maintains a daytime schedule. To test this theory the proportion of business students who are working at least 20 hours per week is compared to the proportion of liberal arts students who are working at least 20 hours per week. . A random sample of 600 from the business school has been taken and it is determined that 480 students work at least 20 hours per week. A random sample of 700 liberal arts students showed that 350 work at least 20 hours per week. The observed zfor this is _______.
a) 0.300
b) 0.624
c) 0.638
d) 11.22
e) 13.42
Q:
Suppose that .06 of each of two populations possess a given characteristic. Samples of size 400 are randomly drawn from each population. What is the probability that the differences in sample proportions will be greater than 0.02?
a) 0.4535
b) 0.9535
c) 0.1170
d) 0.5465
e) 0.4650
Q:
Suppose that .06 of each of two populations possess a given characteristic. Samples of size 400 are randomly drawn from each population. The standard deviation for the sampling distribution of differences between the first sample proportion and the second sample proportion (used to calculate the z score) is _______.
a) 0.00300
b) 0.01679
c) 0.05640
d) 0.00014
e) 0.12000
Q:
Suppose that .06 of each of two populations possess a given characteristic. Samples of size 400 are randomly drawn from each population. The probability that the difference between the first sample proportion which possess the given characteristic and the second sample proportion which possess the given characteristic being more than +.03 is _______.
a) 0.4943
b) 0.9943
c) 0.0367
d) 0.5057
e) 0.5700
Q:
Maureen McIlvoy, owner and CEO of a mail order business for wind surfing equipment and supplies, is reviewing the order filling operations at her warehouses. Her goal is 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse. Her staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2), and reports that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 356 orders within 24 hours. Assuming = 0.05, the appropriate decision is ___________________.a) reject the null hypothesis p1- p2= 0b) reject the null hypothesis 1- 20c) do not reject the null hypothesis 1- 2= 0d) do not reject the null hypothesis p1- p2= 0e) do not reject the null hypothesis p1- p20
Q:
Maureen McIlvoy, owner and CEO of a mail order business for wind surfing equipment and supplies, is reviewing the order filling operations at her warehouses. Her goal is 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse. Her staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2), and reports that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 356 orders within 24 hours. Assuming a= 0.05, the observed zvalue is ___________________.
a) -3.15
b) 2.42
c) 1.53
d) 0.95
e) 1.05
Q:
Maureen McIlvoy, owner and CEO of a mail order business for wind surfing equipment and supplies, is reviewing the order filling operations at her warehouses. Her goal is 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse. Her staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2), and reports that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 372 orders within 24 hours. Assuming = 0.05, the appropriate decision is ___________________.a) do not reject the null hypothesis 1- 2= 0b) do not reject the null hypothesis p1- p2= 0c) reject the null hypothesis 1- 2= 0d) reject the null hypothesis p1- p2= 0e) do not reject the null hypothesis p1- p20
Q:
Maureen McIlvoy, owner and CEO of a mail order business for wind surfing equipment and supplies, is reviewing the order filling operations at her warehouses. Her goal is 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse. Her staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2), and reports that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 372 orders within 24 hours. Assuming a= 0.05, the observed zvalue is ___________________.
a) -3.15
b) 2.42
c) 1.53
d) 0.95
e) 1.08
Q:
Maureen McIlvoy, owner and CEO of a mail order business for wind surfing equipment and supplies, is reviewing the order filling operations at her warehouses. Her goal is 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse. Her staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2), and reports that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 372 orders within 24 hours. Assuming a= 0.05, the critical zvalue is ___________________.
a) -1.96
b) -1.64
c) 1.64
d) 1.96
e) 2.33
Q:
Maureen McIlvoy, owner and CEO of a mail order business for wind surfing equipment and supplies, is reviewing the order filling operations at her warehouses. Her goal is 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse. Her staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2), and reports that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 372 orders within 24 hours. Maureen's alternative hypothesis is _______.a) p1 - p2 0b) 1- 2> 0c) p1- p2> 0d) 1- 2 0e) 1- 20
Q:
Maureen McIlvoy, owner and CEO of a mail order business for wind surfing equipment and supplies, is reviewing the order filling operations at her warehouses. Her goal is 100% of orders shipped within 24 hours. In previous years, neither warehouse has achieved the goal, but the East Coast Warehouse has consistently out-performed the West Coast Warehouse. Her staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2), and reports that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 372 orders within 24 hours. Maureen's null hypothesis is ____.a) p1- p2= 0b) 1- 2= 0c) p1- p20d) 1- 20e) 1- 20
Q:
A researcher is estimating the average difference between two population means based on matched"‘pairs samples. She gathers data on each pair in the study resulting in: Pair
Group 1
Group 2 1
10
12 2
8
9 3
11
11 4
8
10 5
9
12 Assume that the data are normally distributed in the population. A 95% confidence interval would be _______.
a) -3.02 to -0.18
b) -1.6 to -1.09
c) -2.11 to 1.09
d) -2.11 to -1.09
e) -3.23 to 2.23
Q:
A researcher is estimating the average difference between two population means based on matched"‘pairs samples. She gathers data on each pair in the study resulting in: Pair
Group 1
Group 2 1
10
12 2
8
9 3
11
11 4
8
10 5
9
12 Assume that the data are normally distributed in the population. To obtain a 90% confidence interval, the table tvalue would be _______.
a) 1.86
b) 1.397
c) 1.533
d) 2.132
e) 3.346
Q:
A researcher is estimating the average difference between two population means based on matched"‘pairs samples. She gathers data on each pair in the study resulting in: Pair
Group 1
Group 2 1
10
12 2
8
9 3
11
11 4
8
10 5
9
12 Assume that the data are normally distributed in the population. To obtain a 95% confidence interval, the table tvalue would be _______.
a) 2.132
b) 1.86
c) 2.306
d) 2.976
e) 2.776
Q:
A researcher is conducting a matched"‘pairs study. She gathers data on each pair in the study resulting in: Pair
Group 1
Group 2 1
10
12 2
8
9 3
11
11 4
8
10 5
9
12 Assume that the data are normally distributed in the population. The level of significance is selected to be 0.10. If the alternative hypothesis is that the average difference is greater than zero, the null hypothesis would be rejected if the observed value of tis _______.
a) greater than 1.533
b) less than -1.533
c) greater than 2.132
d) less than -2.132
e) equal to 2.333
Q:
A researcher is conducting a matched"‘pairs study. She gathers data on each pair in the study resulting in: Pair
Group 1
Group 2 1
10
12 2
8
9 3
11
11 4
8
10 5
9
12 Assume that the data are normally distributed in the population. The level of significance is selected to be 0.10. If a two-tailed test is performed, the null hypothesis would be rejected if the observed value of tis _______.
a) less than -1.533 or greater than 1.533
b) less than -2.132 or greater than 2.132
c) less than -2.776 or greater than 2.776
d) less than -1.860 or greater than 1.860
e) less than -2.000 or greater than 2.000
Q:
A researcher is conducting a matched"‘pairs study. She gathers data on each pair in the study resulting in: Pair
Group 1
Group 2 1
10
12 2
8
9 3
11
11 4
8
10 5
9
12 Assume that the data are normally distributed in the population. The degrees of freedom in this problem are _______.
a) 4
b) 8
c) 5
d) 9
e) 3
Q:
A researcher is conducting a matched"‘pairs study. She gathers data on each pair in the study resulting in: Pair
Group 1
Group 2 1
10
12 2
8
9 3
11
11 4
8
10 5
9
12 Assume that the data are normally distributed in the population. The sample standard deviation (sd) of the differences is _______.
a) 1.3
b) 1.14
c) 1.04
d) 1.02
e) 1.47
Q:
A researcher wants to conduct a before/after study on 11 subjects to determine if a new cholesterol medication results in higher HDL cholesterol readings. The null hypothesis is that the average difference is zero while the alternative hypothesis is that the average difference is not zero. Scores are obtained on the subjects both before and after taking the medication. After subtracting the after scores from the before scores, the average difference is computed to be "‘2.40 with a sample standard deviation of 1.21. A 0.05 level of significance is selected. Assume that the differences are normally distributed in the population. The table tvalue for this test is _______.
a) 1.812
b) 2.228
c) 2.086
d) 2.262
e) 3.2467
Q:
A researcher wants to conduct a before/after study on 11 subjects to determine if a new cholesterol medication results in higher HDL cholesterol readings. The null hypothesis is that the average difference is zero while the alternative hypothesis is that the average difference is not zero. Scores are obtained on the subjects both before and after taking the medication. After subtracting the after scores from the before scores, the average difference is computed to be "‘2.40 with a sample standard deviation of 1.21. Assume that the differences are normally distributed in the population. The observed tvalue for this test is _______.a) -21.82b) -6.58c) -2.4d) 1.98e) 2.33
Q:
A researcher wants to conduct a before/after study on 11 subjects to determine if a new cholesterol medication results in higher HDL cholesterol readings. The null hypothesis is that the average difference is zero while the alternative hypothesis is that the average difference is not zero. Scores are obtained on the subjects both before and after taking the medication. After subtracting the after scores from the before scores, the average difference is computed to be "‘2.40 with a sample standard deviation of 1.21. Assume that the differences are normally distributed in the population. The degrees of freedom for this test are _______.
a) 11
b) 10
c) 9
d) 20
e) 2
Q:
A researcher believes a new diet should improve weight gain. To test his hypothesis a random sample of 10 people on the old diet and an independent random sample of 10 people on the new diet were selected. The selected people on the old diet gain an average of 5 pounds with a standard deviation of 2 pounds, while the average gain for selected people on the new diet was 8 pounds with a standard deviation of 1.5 pounds. Assume that the values are normally distributed in each population and that the population variances are approximately equal. Using a= 0.05, the observed tvalue for this test is _______.
a) -1.96
b) -1.645
c) -2.100
d) -3.79
e) -1.734