Accounting
Anthropology
Archaeology
Art History
Banking
Biology & Life Science
Business
Business Communication
Business Development
Business Ethics
Business Law
Chemistry
Communication
Computer Science
Counseling
Criminal Law
Curriculum & Instruction
Design
Earth Science
Economic
Education
Engineering
Finance
History & Theory
Humanities
Human Resource
International Business
Investments & Securities
Journalism
Law
Management
Marketing
Medicine
Medicine & Health Science
Nursing
Philosophy
Physic
Psychology
Real Estate
Science
Social Science
Sociology
Special Education
Speech
Visual Arts
Business Ethics
Q:
Consider the following null and alternative hypotheses.
Ho: m= 67
Ha: m 67
These hypotheses ______________.
a) indicate a one-tailed test with a rejection area in the right tail
b) indicate a one-tailed test with a rejection area in the left tail
c) indicate a two-tailed test
d) are established incorrectly
e) are not mutually exclusive
Q:
Consider the following null and alternative hypotheses.
Ho: m 67
Ha: m< 67
These hypotheses _______________.
a) indicate a one-tailed test with a rejection area in the right tail
b) indicate a one-tailed test with a rejection area in the left tail
c) indicate a two-tailed test
d) are established incorrectly
e) are not mutually exclusive
Q:
Consider the following null and alternative hypotheses.
Ho: m 67
Ha: m> 67
These hypotheses _______________.
a) indicate a one-tailed test with a rejection area in the right tail
b) indicate a one-tailed test with a rejection area in the left tail
c) indicate a two-tailed test
d) are established incorrectly
e) are not mutually exclusive
Q:
Increasing the sample size reduces the probability of committing a Type I and Type II simultaneously.
Q:
The probability of committing a Type II error changes for each alternative value of the parameter.
Q:
The value of committing a Type II error is defined by the researcher prior to the study.
Q:
In testing a hypothesis about a population variance, the chi-square test is fairly robust to the assumption the population is normally distributed.
Q:
Business researchers sometimes need to test for equality of population variance. The hypothesis test about a population variance is performed using a chi-square test.
Q:
In conducting z test of proportions, the sample proportion is computed by dividing the number of items being counted by the estimated total population.
Q:
When conducting a hypothesis test is on a population proportion the value of q is defined as p + 1.
Q:
A z test of proportions is used when a hypothesis test is conducted on a population proportion.
Q:
When using the ttest to test a hypothesis about a population mean with an unknown population standard deviation (s) the degrees of freedom is defined as n-1.
Q:
In testing a hypothesis about a population mean with an unknown population standard deviation (s) the degrees of freedom is used in the denominator of the test statistic.
Q:
When the population standard deviation (s) is unknown, the value of s-1is used to compute the tvalue.
Q:
In many cases a business researcher gathers data to test a hypothesis about a single population mean and the value of the population standard deviation is unknown. In this case the researcher cannot use the ztest.
Q:
If a null hypothesis is not rejected at the 0.05 level of significance, the p-value is bigger than 0.05
Q:
If a null hypothesis was rejected at the 0.025 level of significance, it will be rejected at a 0.01 level of significance based on the same sample results.
Q:
If a null hypothesis was not rejected at the 0.10 level of significance, it will be rejected at a 0.05 level of significance based on the same sample results.
Q:
Whenever hypotheses are established such that the alternative hypothesis is "μ>8", where μ is the population mean, the p-value is the probability of observing a sample mean greater than the observed sample mean assuming that μ=8.
Q:
The probability of type II error becomes bigger if the level of significance is changed from 0.01 to 0.05.
Q:
The rejection and nonrejection regions are divided by a point called the critical value.
Q:
Whenever hypotheses are established such that the alternative hypothesis is "μ≠8", where μ is the population mean,the hypothesis test would be a two-tailed test.
Q:
Whenever hypotheses are established such that the alternative hypothesis is "μ>8",where μ is the population mean,the hypothesis test would be a two-tailed test.
Q:
The rejection region for a hypothesis test becomes smaller if the level of significance is changed from 0.01 to 0.05.
Q:
Power is equal to (1 "), the probability of a test rejecting the null hypothesis that is indeed false.
Q:
When a researcher fails to reject a false null hypothesis, a Type II error has been committed.
Q:
When a false null hypothesis is rejected, the researcher has made aType II error.
Q:
When a true null hypothesis is rejected, the researcher has made a Type I error.
Q:
The probability of committing a Type I error is called the power of the test.
Q:
Generally speaking, the hypotheses that business researchers want to prove are stated in the alternative hypothesis.
Q:
The null and the alternative hypotheses must be mutually exclusive and collectively exhaustive.
Q:
In testing hypotheses, the researcher initially assumes that the alternative hypothesis is true and uses the sample data to reject it.
Q:
The first step in testing a hypothesis is to establish a true null hypothesis and a false alternative hypothesis.
Q:
Hypotheses are tentative explanations of a principle operating in nature.
Q:
A study is going to be conducted in which a mean of a lifetime of batteries produced by a certain method will be estimated using a 90% confidence interval. The estimate needs to be within +/- 2 hours of the actual population mean. The population standard deviation ï³ï€ is estimated to be around 25. The necessary sample size should be at least _______.
a) 100
b) 21
c) 923
d) 35
e) 423
Q:
A researcher wants to estimate the percent of the population that uses the internet to stay informed on world news issues. The researcher wants to estimate the population proportion with a 98% level of confidence. He estimates from previous studies that at least 65% of the population stay informed on world issues through the internet.. He also wants the error to be no more than .03. The sample size should be at least _______.
a) 41
b) 313
c) 1677
d) 1373
e) 1500
Q:
An insurance company is interested in conducting a study to to estimate the population proportion of teenagers who obtain a driving permit within 1 year of their 16th birthday. A level of confidence of 99% will be used and an error of no more than .04 is desired. There is no knowledge as to what the population proportion will be. The size of sample should be at least _______.
a) 1036
b) 160
c) 41
d) 259
e) 289
Q:
A researcher wants to estimate the percent of the population that uses the radio to stay informed on local news issues. The researcher wants to estimate the population proportion with a 90% level of confidence. He estimates from previous studies that no more than 30% of the population stay informed on local issues through the radio. The researcher wants the estimate to have an error of no more than .02. The necessary sample size is at least _______.
a) 29
b) 47
c) 298
d) 1421
e) 1500
Q:
Elwin Osbourne, CIO at GFS, Inc., is studying employee use of GFS e-mail for non-business communications. He plans to use a 98% confidence interval estimate of the proportion of e-mail messages that are non-business; he will accept a 0.05 error. Previous studies indicate that approximately 30% of employee e-mail is not business related. Elwin should sample _______ e-mail messages.
a) 323
b) 12
c) 457
d) 14
e) 100
Q:
Elwin Osbourne, CIO at GFS, Inc., is studying employee use of GFS e-mail for non-business communications. He plans to use a 95% confidence interval estimate of the proportion of e-mail messages that are non-business; he will accept a 0.05 error. Previous studies indicate that approximately 30% of employee e-mail is not business related. Elwin should sample _______ e-mail messages.
a) 323
b) 12
c) 457
d) 14
e) 100
Q:
Catherine Chao, Director of Marketing Research, is evaluating consumer acceptance of a new toothpaste package. She plans to use a 95% confidence interval estimate of the proportion of households which prefer the new packages; she will accept a 0.05 error. Previous studies indicate that new packaging has an approximately 70% acceptance rate. The sample size should be at least _______.
a) 27
b) 59
c) 323
d) 427
e) 500
Q:
A researcher wants to estimate the percent of the population that uses the radio to stay informed on local news issues. The researcher wants to estimate the population proportion with a 95% level of confidence. He estimates from previous studies that no more than 30% of the population stay informed on local issues through the radio. The researcher wants the estimate to have an error of no more than .03. The necessary sample size is at least _______.
a) 27
b) 188
c) 211
d) 897
e) 900
Q:
In estimating the sample size necessary to estimate p, if there is no good approximation for the value of p available, the value of ____ should be used as an estimate of p in the formula.
a) 0.10
b) 0.50
c) 0.40
d) 1.96
e) 2.00
Q:
A study is going to be conducted in which a population mean will be estimated using a 92% confidence interval. The estimate needs to be within 12 of the actual population mean. The population variance is estimated to be around 2500. The necessary sample size should be at least _______.
a) 15
b) 47
c) 54
d) 638
e) 700
Q:
A researcher wants to determine the sample size necessary to adequately conduct a study to estimate the population mean to within 5 points. The range of population values is 80 and the researcher plans to use a 90% level of confidence. The sample size should be at least _______.
a) 44
b) 62
c) 216
d) 692
e) 700
Q:
Suppose the fat content of a hotdog follows normal distribution. Ten random measurements give a mean of 21.77 and standard deviation of 3.69. The 90% confidence interval for the population variance of fat content of a hotdog is ________
a) 5.2 to 21.3
b) 7.3 to 36.9
c) 19.63 to 23.91
d) 19.85 to 23.69
e) 2.69 to 5.1
Q:
Given n = 20, s = 32, and that the population is normally distributed, the 90% confidence interval for the population variance is ________.a) 645.4458 1923.0986b) 599.3635 2135.3859c) 592.2258 2184.4685d) 652.0129 1887.4185e) 642.0929 3982.2989
Q:
Given n = 12, s2 = 44.90, and that the population is normally distributed, the 99% confidence interval for the population variance is ________.a) 19.0391 175.2888b) 23.0881 122.3495c) 25.6253 103.0993d) 18.4588 189.7279e) 14.2929 139.2989
Q:
Given n = 17, s2 = 18.56, and that the population is normally distributed, the 80% confidence interval for the population variance is ________.a) 11.4372 36.3848b) 23.5418 9.31223c) 12.6141 31.8892d) 11.2929 37.2989e) 14.2929 39.2989
Q:
James Desreumaux, VP of Human Resources of American First Banks (AFB), is reviewing the employee training programs of AFB banks. His staff randomly selected personnel files for 10 tellers in the Southwest Region, and determined that their mean training time was 25 hours and that the standard deviation was 5 hours. Assume that training times are normally distributed. The 95% confidence interval for the population variance of training times is ________.
a) 11.83 to 83.33
b) 2.37 to 16.67
c) 2.66 to 13.51
d) 13.30 to 67.57
e) 15.40 to 68.28
Q:
James Desreumaux, VP of Human Resources of American First Banks (AFB), is reviewing the employee training programs of AFB banks. His staff randomly selected personnel files for 10 tellers in the Southwest Region, and determined that their mean training time was 25 hours and that the standard deviation was 5 hours. Assume that training times are normally distributed. The 90% confidence interval for the population variance of training times is ________.
a) 11.83 to 83.33
b) 2.37 to 16.67
c) 2.66 to 13.51
d) 13.30 to 67.67
e) 15.00 to 68.00
Q:
Velma Vasquez, fund manager of the Vasquez Value Fund, manages a portfolio of 250 common stocks. Velma relies on various statistics, such as variance, to assess the overall risk of stocks in an economic sector. Her staff reported that for a sample 14 utility stocks the mean annualized return was 14% and that the variance was 3%. Assume that annualized returns are normally distributed. The 95% confidence interval for the population variance of annualized returns is _______.
a) 0.018 to 0.064
b) 0.016 to 0.078
c) 0.017 to 0.066
d) 0.016 to 0.075
e) 0.020 to 0.080
Q:
Velma Vasquez, fund manager of the Vasquez Value Fund, manages a portfolio of 250 common stocks. Velma relies on various statistics, such as variance, to assess the overall risk of stocks in an economic sector. Her staff reported that for a sample 14 utility stocks the mean annualized return was 14% and that the variance was 3%. Assume that annualized returns are normally distributed. The 90% confidence interval for the population variance of annualized returns is _______.
a) 0.018 to 0.064
b) 0.016 to 0.078
c) 0.017 to 0.066
d) 0.016 to 0.075
e) 0.020 to 0.080
Q:
Brian Vanecek, VP of Operations at Portland Trust Bank, is evaluating the service level provided to walk-in customers. Brian would like to minimize the variance of waiting time for these customers, since this would mean each customer received the same level of service. Accordingly, his staff recorded the waiting times for 15 randomly selected walk-in customers, and determined that their mean waiting time was 15 minutes and that the standard deviation was 4 minutes. Assume that waiting time is normally distributed. The 95% confidence interval for the population variance of waiting times is ________.
a) 9.46 to 34.09
b) 56.25 to 64.87
c) 11.05 to 16.03
d) 8.58 to 39.79
e) 12.50 to 42.35
Q:
Brian Vanecek, VP of Operations at Portland Trust Bank, is evaluating the service level provided to walk-in customers. Brian would like to minimize the variance of waiting time for these customers, since this would mean each customer received the same level of service. Accordingly, his staff recorded the waiting times for 15 randomly selected walk-in customers, and determined that their mean waiting time was 15 minutes and that the standard deviation was 4 minutes. Assume that waiting time is normally distributed. The 90% confidence interval for the population variance of waiting times is ________.
a) 9.46 to 34.09
b) 56.25 to 64.87
c) 11.05 to 16.03
d) 8.58 to 39.79
e) 12.50 to 42.35
Q:
Catherine Chao, Director of Marketing Research, is evaluating consumer acceptance of a new toothpaste package. She randomly selects a sample of 200 households. Forty households prefer the new package to all other package designs. The 90% confidence interval for the population proportion is _________.
a) 0.199 to 0.201
b) 0.153 to 0.247
c) 0.164 to 0.236
d) 0.145 to 0.255
e) 0.185 to 0.275
Q:
Catherine Chao, Director of Marketing Research, is evaluating consumer acceptance of a new toothpaste package. She randomly selects a sample of 200 households. Forty households prefer the new package to all other package designs. The point estimate for this population proportion is _______.
a) 0.20
b) 0.25
c) 0.40
d) 0.45
e) 0.55
Q:
Elwin Osbourne, CIO at GFS, Inc., is studying employee use of GFS e-mail for non-business communications. A random sample of 200 e-mail messages was selected. Thirty of the messages were not business related. The 98% confidence interval for the population proportion is _________.
a) 0.108 to 0.192
b) 0.153 to 0.247
c) 0.091 to 0.209
d) 0.145 to 0.255
e) 0.250 to 0.275
Q:
Elwin Osbourne, CIO at GFS, Inc., is studying employee use of GFS e-mail for non-business communications. A random sample of 200 e-mail messages was selected. Thirty of the messages were not business related. The 95% confidence interval for the population proportion is _________.
a) 0.108 to 0.192
b) 0.153 to 0.247
c) 0.091 to 0.209
d) 0.101 to 0.199
e) 0.199 to 0.201
Q:
Elwin Osbourne, CIO at GFS, Inc., is studying employee use of GFS e-mail for non-business communications. A random sample of 200 e-mail messages was selected. Thirty of the messages were not business related. The 90% confidence interval for the population proportion is _________.
a) 0.108 to 0.192
b) 0.153 to 0.247
c) 0.091 to 0.209
d) 0.145 to 0.255
e) 0.255 to 0.265
Q:
Elwin Osbourne, CIO at GFS, Inc., is studying employee use of GFS e-mail for non-business communications. A random sample of 200 e-mail messages was selected. Thirty of the messages were not business related. The point estimate for this population proportion is _______.
a) 0.150
b) 0.300
c) 0.182
d) 0.667
e) 0.786
Q:
A random sample of 225 items from a population results in 60% possessing a given characteristic. Using this information, the researcher constructs a 90% confidence interval to estimate the population proportion. The resulting confidence interval is _______.
a) 0.546 to 0.654
b) 0.536 to 0.664
c) 0.596 to 0.604
d) 0.571 to 0.629
e) 0.629 to 0.687
Q:
A random sample of 225 items from a population results in 60% possessing a given characteristic. Using this information, the researcher constructs a 99% confidence interval to estimate the population proportion. The resulting confidence interval is _______.
a) 0.54 to 0.66
b) 0.59 to 0.61
c) 0.57 to 0.63
d) 0.52 to 0.68
e) 0.68 to 0.76
Q:
A large trucking company wants to estimate the proportion of its tracker truck population with refrigerated carrier capacity. A random sample of 200 tracker trucks is taken and 30% of the sample have refrigerated carrier capacity. The 90% confidence interval to estimate the population proportion is _______.
a) 0.53 to 0.67
b) 0.25 to 0.35
c) 0.24 to 0.36
d) 0.27 to 0.33
e) 0.33 to 0.39
Q:
A large trucking company wants to estimate the proportion of its tracker truck population with refrigerated carrier capacity.. A random sample of 200 tracker trucks is taken and 30% of the sample have refrigerated carrier capacity. The 95% confidence interval to estimate the population proportion is _______.
a) 0.53 to 0.67
b) 0.25 to 0.35
c) 0.24 to 0.36
d) 0.27 to 0.33
e) 0.28 to 0.34
Q:
A large national company is considering negotiating cellular phone rates for its employees. The Human Resource department would like to estimate the proportion of its employee population who own an Apple iPhone. A random sample of size 250 is taken and 40% of the sample own and iPhone.. The 95% confidence interval to estimate the population proportion is _______.
a) 0.35 to 0.45
b) 0.34 to 0.46
c) 0.37 to 0.43
d) 0.39 to 0.41
e) 0.40 to 0.42
Q:
A large national company is considering negotiating cellular phone rates for its employees. The Human Resource department would like to estimate the proportion of its employee population who own an Apple iPhone.. A random sample of size 250 is taken and 40% of the sample own and iPhone. The 90% confidence interval to estimate the population proportion is ____.
a) 0.35 to 0.45
b) 0.34 to 0.46
c) 0.37 to 0.43
d) 0.39 to 0.41
e) 0.40 to 0.45
Q:
A researcher wants to estimate the proportion of the population which possesses a given characteristic. A random sample of size 1800 is taken resulting in 450 items which possess the characteristic. The point estimate for this population proportion is _______.
a) 0.55
b) 0.45
c) 0.35
d) 0.25
e) 0.15
Q:
A researcher wants to estimate the proportion of the population which possesses a given characteristic. A random sample of size 800 is taken resulting in 360 items which possess the characteristic. The point estimate for this population proportion is _______.
a) 0.55
b) 0.45
c) 0.35
d) 0.65
e) 0.70
Q:
Life tests performed on a sample of 13 batteries of a new model indicated: (1) an average life of 75 months, and (2) a standard deviation of 5 months. Other battery models, produced by similar processes, have normally distributed life spans. The 90% confidence interval for the population mean life of the new model is _________.
a) 66.78 to 83.23
b) 72.72 to 77.28
c) 72.53 to 77.47
d) 66.09 to 83.91
e) 73.34 to 76.25
Q:
Life tests performed on a sample of 13 batteries of a new model indicated: (1) an average life of 75 months, and (2) a standard deviation of 5 months. Other battery models, produced by similar processes, have normally distributed life spans. The 98% confidence interval for the population mean life of the new model is _________.
a) 63.37 to 86.63
b) 61.60 to 88.41
c) 71.77 to 78.23
d) 71.28 to 78.72
e) 79.86 to 81.28
Q:
The weights of aluminum castings produced by a process are normally distributed. A random sample of 5 castings is selected; the sample mean weight is 2.21 pounds; and the sample standard deviation is 0.12 pound. The 98% confidence interval for the population mean casting weight is _________.
a) 1.76 to 2.66
b) 2.00 to 2.41
c) 2.08 to 2.34
d) 1.93 to 2.49
e) 2.49 to 2.67
Q:
A researcher is interested in estimating the mean weight of a semi tracker truck to determine the potential load capacity. She takes a random sample of 17 trucks and computes a sample mean of 20,000 pounds with sample standard deviation of 1,500. The 90% confidence interval for the population mean rod length is ______________.
a) 19,365 to 20,635
b) 19,367 to 20,633
c) 19,514 to 20,486
d) 19,515 to 20,485
e) 18,500 to 21,500
Q:
A researcher is interested in estimating the mean weight of a semi tracker truck to determine the potential load capacity. She takes a random sample of 17 trucks and computes a sample mean of 20,000 pounds with sample standard deviation of 1,500.The 95% confidence interval for the population mean weight of a semi tracker truck is ______________.
a) 19,232 to 20,768b) 19,365 to 20,635c) 19,229 to 20,771
d) 19,367 to 20,633
e) 119.89 to 122.1218,500 to 21,500
Q:
A researcher is interested in estimating the mean weight of a semi tracker truck to determine the potential load capacity. She takes a random sample of 17 trucks and computes a sample mean of 20,000 pounds with sample standard deviation of 1,500. She decides to construct a 98% confidence interval to estimate the mean. The degrees of freedom associated with this problem are _______.
a) 18
b) 17
c) 16
d) 15
e) 20
Q:
The table t value associated with the upper 10% of the t distribution and 23 degrees of freedom is _______.
a) 1.319
b) 1.714
c) 2.069
d) 1.321
e) 2.332
Q:
The table t value associated with the upper 5% of the t distribution and 14 degrees of freedom is _______.
a) 2.977
b) 2.624
c) 2.145
d) 1.761
e) 1.345
Q:
The table t value associated with the upper 5% of the t distribution and 12 degrees of freedom is _______.
a) 2.179
b) 1.782
c) 1.356
d) 3.055
e) 3.330
Q:
If the standard deviation, is known the z-distribution values may not be used to determine interval estimates for the population mean whena) n<30b) the distribution is not normalc) the distribution is skewedd) n is bige) n is small (<30) and the distribution is not normal
Q:
The normal distribution is used to test about a population mean for large samples if the population standard deviation is known. "Large" is usually defined as _______.
a) at least 10
b) at least 5% of the population size
c) at least 30
d) at least 12
e) at least 100