Q&A Hero

Q: Consider the following partial computer output from a simple linear regression analysis. What is the estimated slope?

Q: Consider the following partial computer output from a simple linear regression analysis. What is the estimated y-intercept?

Q: Consider the following partial computer output from a simple linear regression analysis with a sample size of 16 observations. Find the t test to test the significance of the model.

Q: Complete the following partial ANOVA table from a simple linear regression analysis with a sample size of 16 observations. Find the F statistic to test the significance of the model.

Q: Consider the following partial computer output from a simple linear regression analysis. Calculate the correlation coefficient.

Q: Consider the following partial computer output from a simple linear regression analysis.What is the predicted value of y when x = 1,000?

Q: Consider the following partial computer output from a simple linear regression analysis.Test H0: 1 0 vs. Ha: 1 > 0.

Q: Consider the following partial computer output from a simple linear regression analysis. Write the equation of the least squares line.

Q: Consider the following partial computer output from a simple linear regression analysis. What is the estimated slope?

Q: Consider the following partial computer output from a simple linear regression analysis. What is the estimated y-intercept?

Q: Use the least squares regression equation = 12.36 + 4.745X and determine the predicted value of y when x = 3.25.

Q: A data set with 7 observations yielded the following. Use the simple linear regression model. Calculate the coefficient of determination.

Q: A data set with 7 observations yielded the following. Use the simple linear regression model. Calculate the correlation coefficient.

Q: A data set with 7 observations yielded the following. Use the simple linear regression model. Determine the 95 percent confidence interval for the average value of Y when x = 3.25.

Q: A data set with 7 observations yielded the following. Use the simple linear regression model.Find the rejection point for the t statistic ( = .05). Test H0: 1 0 vs. Ha: 1 > 0.

Q: A data set with 7 observations yielded the following. Use the simple linear regression model. Calculate the standard error.

Q: A data set with 7 observations yielded the following. Use the simple linear regression model. Find the estimated y-intercept.

Q: A data set with 7 observations yielded the following. Use the simple linear regression model. Find the estimated slope.

Q: A local tire dealer wants to predict the number of tires sold each month. He believes that the number of tires sold is a linear function of the amount of money invested in advertising. He randomly selects 6 months of data consisting of monthly tire sales (in thousands of tires) and monthly advertising expenditures (in thousands of dollars). Residuals are calculated for all of the randomly selected six months and ordered from smallest to largest. Determine the normal score for the third residual in the ordered array.

Q: The distance (in thousands of miles) traveled by buses before their first major motor failure is distributed below, with an estimated mean and standard deviation of 95.7 and 38.1. Also shown are the expected frequencies of these intervals if the original population was a normal distribution.Test the hypothesis that the original population is a normal distribution at .05.

Q: The distance (in thousands of miles) traveled by buses before their first major motor failure is distributed below, with an estimated mean and standard deviation of 95.7 and 38.1. Also shown are the expected frequencies of these intervals if the original population was a normal distribution.What is the chi-square test statistic for testing the hypothesis that the original population is a normal distribution?

Q: The distance (in thousands of miles) traveled by buses before their first major motor failure is distributed below, with an estimated mean and standard deviation of 95.7 and 38.1. Also shown are the expected frequencies of these intervals if the original population was a normal distribution.What is the df for testing the hypothesis that the original population is a normal distribution?

Q: The following frequency table summarizes the ages of 60 shoppers at the local farmer's marketThe estimated mean is 36.25, and the estimated standard deviation is 13.57. It is desired to test whether these measurements came from a normal population. At a significance of .01, test H0: the sample of 60 shoppers came from a normal population.

Q: The following frequency table summarizes the ages of 60 shoppers at the local farmer's market The estimated mean is 36.25, and the estimated standard deviation is 13.57. It is desired to test whether these measurements came from a normal population. What is the df for this chi-square test of normality?

Q: The following frequency table summarizes the ages of 60 shoppers at the local farmer's market. The estimated mean is 36.25, and the estimated standard deviation is 13.57. Calculate the value of the chi-square test statistic to determine whether these measurements came from a normal population.

Q: The following frequency table summarizes the ages of 60 shoppers at the local farmer's market. The estimated mean is 36.25, and the estimated standard deviation is 13.57. Calculate the expected frequencies for each interval, assuming a normal distribution.

Q: The following frequency table summarizes the ages of 60 shoppers at the local farmer's market. The estimated mean is 36.25, and estimated standard deviation is 13.57. Calculate the probability for each interval, assuming a normal distribution.

Q: The HR manager of a major office supply chain is interested in determining whether employee educational level affects knowledge of their job. An exam was given to 120 employees. The results are below.Test the null hypothesis that score is independent of education level at = .01.

Q: The HR manager of a major office supply chain is interested in determining whether employee educational level affects knowledge of their job. An exam was given to 120 employees. The results are below. For each cell, calculate the corresponding cell, row, and column percentage.

Q: The HR manager of a major office supply chain is interested in determining whether employee educational level affects knowledge of their job. An exam was given to 120 employees. The results are below.For each column total, calculate the corresponding percentage.

Q: The HR manager of a major office supply chain is interested in determining whether employee educational level affects knowledge of their job. An exam was given to 120 employees. The results are below.For each row total, calculate the corresponding percentage.

Q: A survey was conducted on the age and gender of the purchasers of a specific automotive model. The results are below. Age < 30 Age 30-45 Age > 45 TotalMale 60 20 40 120Female 40 30 10 80Total 100 50 50 200Test the null hypothesis that age is independent of gender at = .05.

Q: A survey was conducted on the age and gender of the purchasers of a specific automotive model. The results are below. Age < 30 Age 30-45 Age > 45 TotalMale 60 20 40 120Female 40 30 10 80Total 100 50 50 200For each cell, calculate the corresponding cell, row, and column percentage.

Q: A survey was conducted on the age and gender of the purchasers of a specific automotive model. The results are below. Age < 30 Age 30-45 Age > 45 TotalMale 60 20 40 120Female 40 30 10 80Total 100 50 50 200For each column total, calculate the corresponding percentage.

Q: A survey was conducted on the age and gender of the purchasers of a specific automotive model. The results are below. Age < 30 Age 30-45 Age > 45 TotalMale 60 20 40 120Female 40 30 10 80Total 100 50 50 200For each row total, calculate the corresponding percentage.

Q: The AAA Co. is interested in the level of satisfaction of their employees in the benefit package that they offer compared to their major competitors. A consultant hired to conduct the satisfaction survey told AAA Co. that the distribution of level of satisfaction at other companies is displayed below.Very Satisfied 5%Satisfied 30%Neutral 20%Dissatisfied 40%Very Dissatisfied 5%A survey was conducted of 125 AAA employees with the following results. Very Satisfied 15Satisfied 52Neutral 20Dissatisfied 30Very Dissatisfied 8Total 125Using the critical value for = .05, test the null hypothesis that the distribution of AAA employees at each satisfaction level is similar to the distribution of the employees of their major competitors.

Q: The AAA Co. is interested in the level of satisfaction of their employees with the benefit package that they offer compared to their major competitors. A consultant hired to conduct the satisfaction survey told AAA Co. that the distribution of level of satisfaction at other companies is displayed below.Very Satisfied 5%Satisfied 30%Neutral 20%Dissatisfied 40%Very Dissatisfied 5%A survey of 125 AAA employees gave the following results. Very Satisfied 15Satisfied 52Neutral 20Dissatisfied 30Very Dissatisfied 8Total 125What are the degrees of freedom for testing the goodness of fit at = .05?

Q: The AAA Co. is interested in the level of satisfaction of their employees with the benefit package that they offer compared to their major competitors. A consultant hired to conduct the satisfaction survey told AAA Co. that the distribution of level of satisfaction at other companies is displayed below.Very Satisfied 5%Satisfied 30%Neutral 20%Dissatisfied 40%Very Dissatisfied 5% A survey of 125 AAA employees gave the following results. Very Satisfied 15Satisfied 52Neutral 20Dissatisfied 30Very Dissatisfied 8Total 125What is the null hypothesis to test if the distribution of satisfaction is the same at AAA as at their competitors?

Q: The AAA Co. is interested in the level of satisfaction of their employees with the benefit package that they offer compared to their major competitors. A consultant hired to conduct the satisfaction survey told AAA Co. that the distribution of level of satisfaction at other companies is displayed below.Very Satisfied 5%Satisfied 30%Neutral 20%Dissatisfied 40%Very Dissatisfied 5% A survey was conducted of 125 AAA employees with the following results. Very Satisfied 15Satisfied 52Neutral 20Dissatisfied 30Very Dissatisfied 8Total 125What are the expected values of the number of AAA employees at each satisfaction level, assuming a similar distribution as the major competitors of AAA?

Q: AAA Co. operates distribution centers in the Midwest. Three of their centers were recently audited to determine if they are in compliance with company standard billing procedures. According to the auditing firm, a billing had an equal probability of being from each of the three centers. A random sample of the audited billings had the following distribution.Center 1: 385 billingsCenter 2: 305 billingsCenter 3: 210 billingsCalculate the goodness of fit and determine whether H0 should be rejected at = .01.

Q: AAA Co. operates distribution centers in the Midwest. Three of their centers were recently audited to determine if they are in compliance with company standard billing procedures. According to the auditing firm, a billing had an equal probability of being from each of the three centers. A random sample of the audited billings had the following distribution.Center 1: 385 billingsCenter 2: 305 billingsCenter 3: 210 billingsWhat is the critical value at = .01 to test the null hypothesis (equal billings from each center)?

Q: AAA Co. operates distribution centers in the Midwest. Three of their centers were recently audited to determine if they are in compliance with company standard billing procedures. According to the auditing firm, a billing had an equal probability of being from each of the three centers. A random sample of the audited billings had the following distribution.Center 1: 385 billingsCenter 2: 305 billingsCenter 3: 210 billingsWhat are the degrees of freedom for the x2 test?

Q: AAA Co. operates distribution centers in the Midwest. Three of their centers were recently audited to determine if they are in compliance with company standard billing procedures. According to the auditing firm, a billing had an equal probability of being from each of the three centers. A random sample of the audited billings had the following distribution. Center 1: 385 billings Center 2: 305 billings Center 3: 210 billings What is the expected value of the number of billings for each center if H0 (equal probabilities) is true?

Q: AAA Co. operates distribution centers in the Midwest. Three of their centers were recently audited to determine if they are in compliance with company standard billing procedures. According to the auditing firm, a billing had an equal probability of being from each of the three centers. A random sample of the audited billings had the following distribution. Center 1: 385 billings Center 2: 305 billings Center 3: 210 billings

Q: A manufacturing company produces part QV2Y for the aerospace industry. This particular part can be manufactured using 3 different production processes. The management wants to know if the quality of the units of part QV2Y is the same for all three processes. The production supervisor obtained the following data: Process 1 had 29 defective units in 240 items, Process 2 produced 12 defective units in 180 items, and Process 3 manufactured 9 defective units in 150 items. At a significance level of .05, the management wants to perform a hypothesis test to determine whether the quality of items produced appears to be independent of the production process used. Calculate the expected number of conforming units produced by Process 2.

Q: A manufacturing company produces part QV2Y for the aerospace industry. This particular part can be manufactured using 3 different production processes. The management wants to know if the quality of the units of part QV2Y is the same for all three processes. The production supervisor obtained the following data: Process 1 had 29 defective units in 240 items, Process 2 produced 12 defective units in 180 items, and Process 3 manufactured 9 defective units in 150 items. At a significance level of .05, the management wants to perform a hypothesis test to determine whether the quality of items produced appears to be independent of the production process used. Calculate the expected number of defective units produced by Process 1.

Q: A study of car accidents and drivers who use cell phones collects the following sample data. Determine the expected frequencies of those who had accidents in the last year to use for the chi-square test of independence.

Q: A study of car accidents and drivers who use cell phones collects the following sample data. Calculate the chi-square statistic for this test of independence.

Q: A study of car accidents and drivers who use cell phones collects the following sample data. At a significance level of 0.05, determine the appropriate degrees of freedom and the rejection point condition for the test.

Q: A study of car accidents and drivers who use cell phones collects the following sample data. Determine the expected frequencies of those who had accidents in the last year to use for the chi-square test of independence.

Q: A paper presented at a recent meeting of higher education researchers compared the type of college freshmen attend and the numbers who drop out. A random sample of freshmen shows the following results. Use a significance level of .05 and determine if the type of school and the drop rate are independent. (Null hypothesis is that dropout rate is independent of type of school.)

Q: A paper presented at a recent meeting of higher education researchers compared the type of college freshmen attend and the numbers who drop out. A random sample of freshmen shows the following results. Calculate the chi-square statistic for this test of independence.

Q: A paper presented at a recent meeting of higher education researchers compared the type of college that freshmen attend and the numbers who drop out. A random sample of freshmen shows the following results. At a significance level of .05, determine the appropriate degrees of freedom and the rejection point condition for this test.

Q: A paper presented at a recent meeting of higher education researchers compared the type of college that freshmen attend and the numbers who drop out. A random sample of freshmen shows the following results. Determine the expected frequencies for the freshmen who drop out of 2-year institutions that will be used in the chi-square test of independence.

Q: A paper presented at a recent meeting of higher education researchers compared the type of college that freshmen attend and the numbers who drop out. A random sample of freshmen shows the following results. Determine the expected frequencies for the two cells of 4-year public institutions that will be used in the chi-square test of independence.

Q: A human resource manager is interested in whether absences occur during the week with equal frequency. The manager took a random sample of 100 absences and created the following table. At a significance level of .05, test H0: the probabilities are equal for all five days. What is your conclusion? A. Reject H0. B. Do not reject H0.

Q: A human resource manager is interested in whether absences occur during the week with equal frequency. The manager took a random sample of 100 absences and created the following table.How many degrees of freedom are associated with the chi-square test? Use = .05 and determine the rejection point condition of the chi-square statistic.

Q: A human resource manager is interested in whether absences occur during the week with equal frequency. The manager took a random sample of 100 absences and created the following table. Calculate the value of the chi-square statistic.

Q: A human resource manager is interested in whether absences occur during the week with equal frequency. The manager took a random sample of 100 absences and created the following table. Calculate the expected absences for all 5 days.

Q: On the most recent tax cut proposal, a random sample of Democrats and Republicans in the Congress cast their votes as follows. Suppose that the chi-square test of independence is performed and the null hypothesis (the vote on the issue and party affiliation are independent) is rejected. Provide a one-sentence interpretation of the outcome of the test.

Q: On the most recent tax cut proposal, a random sample of Democrats and Republicans in the Congress cast their votes as follows. Use a significance level of .01 and determine whether the opinions on the tax cut proposal and the party affiliation are independent.

Q: On the most recent tax cut proposal, a random sample of Democrats and Republicans in the Congress cast their votes as follows. Calculate the chi-square statistic for this test of independence.

Q: On the most recent tax cut proposal, a random sample of Democrats and Republicans in the Congress cast their votes as follows. At a significance level of .01, determine the appropriate degrees of freedom and the rejection point condition for this test.

Q: On the most recent tax cut proposal, a random sample of Democrats and Republicans in the Congress cast their votes as follows. Determine the expected frequencies for both the Democrats and Republicans who oppose the tax cut proposal for the chi-square test of independence.

Q: On the most recent tax cut proposal, a random sample of Democrats and Republicans in the Congress cast their votes as follows. Determine the expected frequencies for both the Democrats and Republicans who favor the tax cut proposal for the chi-square test of independence.

Q: In the past, of all the students enrolled in Basic Business Statistics, 10 percent earned an A, 20 percent earned a B, 30 percent earned a C, 20 percent earned a D, and the remainder failed the course. Dr. Johnson is a new professor teaching Basic Business Statistics for the first time this semester. At the conclusion of the semester, of his 60 students, 10 had earned an A, 20 a B, 20 a C, 5 a D, and 5 received an F. Assume that the class constitutes a random sample. Dr. Johnson wants to know if there is sufficient evidence to conclude that the grade distribution of his class is different from the historical grade distribution. If we assume at = .05 that the null hypothesis is rejected, make a one-sentence managerial conclusion.

Q: In the past, of all the students enrolled in Basic Business Statistics, 10 percent earned an A, 20 percent earned a B, 30 percent earned a C, 20 percent earned a D, and the remainder failed the course. Dr. Johnson is a new professor teaching Basic Business Statistics for the first time this semester. At the conclusion of the semester, of his 60 students, 10 had earned an A, 20 a B, 20 a C, 5 a D, and 5 received an F. Assume that the class constitutes a random sample. Dr. Johnson wants to know if there is sufficient evidence to conclude that the grade distribution of his class is different from the historical grade distribution. At = .05, test to determine if the grade distribution for this class is different from the historical grade distribution.Reject H0. In other words, the grade distribution does differ from the historical grade distribution.

Q: In the past, of all the students enrolled in Basic Business Statistics, 10 percent earned an A, 20 percent earned a B, 30 percent earned a C, 20 percent earned a D, and the remainder failed the course. Dr. Johnson is a new professor teaching Basic Business Statistics for the first time this semester. At the conclusion of the semester, of his 60 students, 10 had earned an A, 20 a B, 20 a C, 5 a D, and 5 received an F. Assume that the class constitutes a random sample. Dr. Johnson wants to know if there is sufficient evidence to conclude that the grade distribution of his class is different from the historical grade distribution. Calculate the chi-square statistic.

Q: In the past, of all the students enrolled in Basic Business Statistics, 10 percent earned an A, 20 percent earned a B, 30 percent earned a C, 20 percent earned a D, and the remainder failed the course. Dr. Johnson is a new professor teaching Basic Business Statistics for the first time this semester. At the conclusion of the semester, of his 60 students, 10 had earned an A, 20 a B, 20 a C, 5 a D, and 5 received an F. Assume that the class constitutes a random sample. Dr. Johnson wants to know if there is sufficient evidence to conclude that the grade distribution of his class is different from the historical grade distribution. Calculate the expected values for a B and for a C.

Q: In the past, of all the students enrolled in Basic Business Statistics, 10 percent earned an A, 20 percent earned a B, 30 percent earned a C, 20 percent earned a D, and the remainder failed the course. Dr. Johnson is a new professor teaching Basic Business Statistics for the first time this semester. At the conclusion of the semester, of his 60 students, 10 had earned an A, 20 a B, 20 a C, 5 a D, and 5 received an F. Assume that the class constitutes a random sample. Dr. Johnson wants to know if there is sufficient evidence to conclude that the grade distribution of his class is different from the historical grade distribution. Calculate the expected values for an A and for a D.

Q: In the past, of all the students enrolled in Basic Business Statistics, 10 percent earned an A, 20 percent earned a B, 30 percent earned a C, 20 percent earned a D, and the remainder failed the course. Dr. Johnson is a new professor teaching Basic Business Statistics for the first time this semester. At the conclusion of the semester, of his 60 students, 10 had earned an A, 20 a B, 20 a C, 5 a D, and 5 received an F. Assume that the class constitutes a random sample. Dr. Johnson wants to know if there is sufficient evidence to conclude that the grade distribution of his class is different from the historical grade distribution. Use = .05 and determine the appropriate degrees of freedom and the rejection point condition associated with this goodness-of-fit test.

Q: A U.S.-based company offers an online proficiency course in basic accounting. Completing this online course satisfies the Fundamentals of Accounting course requirement in many MBA programs. In the first semester, 315 students have enrolled in the course. The marketing research manager divided the country into seven regions of approximately equal population. The course enrollment values for each of the seven regions are given below. The management wants to know if there is equal interest in the course across all regions. Assume that H0: p1 = p2 = p3 = p4 = p5 = p6 = p7 is not rejected, and state a one-sentence managerial conclusion.

Q: A U.S.-based company offers an online proficiency course in basic accounting. Completing this online course satisfies the Fundamentals of Accounting course requirement in many MBA programs. In the first semester, 315 students have enrolled in the course. The marketing research manager divided the country into seven regions of approximately equal population. The course enrollment values for each of the seven regions are given below. The management wants to know if there is equal interest in the course across all regions. Assume that H0, the probabilities are equal for all seven regions, is rejected. State a one-sentence managerial conclusion.

Q: A U.S.-based company offers an online proficiency course in basic accounting. Completing this online course satisfies the Fundamentals of Accounting course requirement in many MBA programs. In the first semester, 315 students have enrolled in the course. The marketing research manager divided the country into seven regions of approximately equal population. The course enrollment values for each of the seven regions are given below. The management wants to know if there is equal interest in the course across all regions. At a significance level of .01, test H0: the probabilities are equal for all seven regions.

Q: A U.S.-based company offers an online proficiency course in basic accounting. Completing this online course satisfies the Fundamentals of Accounting course requirement in many MBA programs. In the first semester, 315 students have enrolled in the course. The marketing research manager divided the country into seven regions of approximately equal population. The course enrollment values for each of the seven regions are given below. The management wants to know if there is equal interest in the course across all regions. At a significance level of .05, test H0: the probabilities are equal for all seven regions.

Q: A U.S.-based company offers an online proficiency course in basic accounting. Completing this online course satisfies the Fundamentals of Accounting course requirement in many MBA programs. In the first semester, 315 students have enrolled in the course. The marketing research manager divided the country into seven regions of approximately equal population. The course enrollment values for each of the seven regions are given below. The management wants to know if there is equal interest in the course across all regions.How many degrees of freedom are associated with the chi-square test? Also, at = .05, determine the rejection point condition of the chi-square statistic.

Q: A U.S.-based company offers an online proficiency course in basic accounting. Completing this online course satisfies the Fundamentals of Accounting course requirement in many MBA programs. In the first semester, 315 students have enrolled in the course. The marketing research manager divided the country into seven regions of approximately equal population. The course enrollment values for each of the seven regions are given below. The management wants to know if there is equal interest in the course across all regions. Calculate the value of the chi-square statistic.

Q: A U.S.-based company offers an online proficiency course in basic accounting. Completing this online course satisfies the Fundamentals of Accounting course requirement in many MBA programs. In the first semester, 315 students have enrolled in the course. The marketing research manager divided the country into seven regions of approximately equal population. The course enrollment values for each of the seven regions are given below. The management wants to know if there is equal interest in the course across all regions. Calculate the expected enrollment (frequency) for all 7 regions.

Q: Consider a set of 50 measurements with mean 50.2 and standard deviation 18.7 and with the following observed and expected frequencies. It is desired to test whether these measurements came from a normal population. At a significance level of .05, test H0: the set of 50 measurements came from a normal population.

Q: Consider a set of 50 measurements with mean 50.2 and standard deviation 18.7 and with the following observed and expected frequencies. It is desired to test whether these measurements came from a normal population. Calculate the value of the chi-square test statistic.