Question 1 of 54 
1.0 Points 
Suppose we are testing the difference between two proportions at the 0.05 level of significance. If the computed z is 1.07, what is our decision?

A.Reject the null hypothesis 


B.Do not reject the null hypothesis 


C.Take a larger sample 


D.Reserve judgment 


Question 2 of 54 
1.0 Points 
The net weights (in grams) of a sample of bottles filled by a machine manufactured by Edne, and the net weights of a sample filled by a similar machine manufactured by Orno, Inc., are: Edne: 5, 8, 7, 6, 9 and 7 Orno: 8, 10, 7, 11, 9, 12, 14 and 9 Testing the claim at the 0.05 level that the mean weight of the bottles filled by the Orno machine is greater than the mean weight of the bottles filled by the Edne machine, what is the critical value? Assume equal standard deviations for both samples.

A.A. 2.179 


B.B. 2.145 


C.C. 1.782 


D.D. 1.761 


Question 3 of 54 
1.0 Points 
When is it appropriate to use the paired difference ttest?

A.A. Four samples are compared at once 


B.B. Any two samples are compared 


C.C. Two independent samples are compared 


D.D. Two dependent samples are compared 


Question 4 of 54 
1.0 Points 
Administering the same test to a group of 15 students and a second group of 15 students to see which group scores higher is an example of

A.A. a one sample test of means. 


B.B. a two sample test of means. 


C.C. a paired ttest. 


D.D. a test of proportions. 


Question 5 of 54 
1.0 Points 
20 randomly selected statistics students were given 15 multiplechoice questions and 15 openended questions – all on the same material. The professor was interested in determining which type of questions the students scored higher. This experiment is an example of

A.A. a one sample test of means. 


B.B. a two sample test of means. 


C.C. a paired ttest. 


D.D. a test of proportions. 


Question 6 of 54 
1.0 Points 
Of 250 adults who were administered the J2P2 antivirus 187 did not show symptoms of the disease that it guarded against; of 100 children who were administered the antivirus, 66 did not show symptoms of the disease.

A.ð1 > ð2 


B.ð1 < ð2 


C.ð1 = ð2 


D.None of these 


Question 7 of 54 
1.0 Points 
Of 250 adults who were administered the J2P2 antivirus 187 did not show symptoms of the disease that it guarded against; of 100 children who were administered the antivirus, 66 did not show symptoms of the disease. What test statistic should we use?

A.A. zstatistic 


B.B. Right onetailed test 


C.C. Left onetailed test 


D.D. Twotailed test 


Question 8 of 54 
1.0 Points 
A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled and the average error from the industry standard is calculated. The results are presented below. The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the population standard deviations are equal.

A.μ_{A} =μ_{B} 


B.
μ_{A} not equal to μ_{B} 


C.μA ≤μ_{B } 


D.μA > μB 


Question 9 of 54 
1.0 Points 
A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled and the average error from the industry standard is calculated. The results are presented below. The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the population standard deviations are equal.

A.μA =μB 


B.μA not equal to μB 


C.μA ≤μB 


D.μA > μB 


Question 10 of 54 
1.0 Points 
A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled and the average error from the industry standard is calculated. The results are presented below. The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the population standard deviations are equal. What are the degrees of freedom?

A.A. 10 


B.B. 13 


C.C. 26 


D.D. 24 


Question 11 of 54 
1.0 Points 
A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled and the average error from the industry standard is calculated. The results are presented below. The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the population standard deviations are equal.

A.+2.779 


B.2.492 


C.+ and – 1.711 


D. + and – 2.797 


Question 12 of 54 
1.0 Points 
A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled and the average error from the industry standard is calculated. The results are presented below. The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the population standard deviations are equal. What is the computed value of t?

A.A. +2.797 


B.B. 2.797 


C.C. 13.70 


D.D. +13.70 


Question 13 of 54 
1.0 Points 
A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled and the average error from the industry standard is calculated. The results are presented below. The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the population standard deviations are equal. What is the decision at the 1% level of significance?

A.A. Reject the null hypothesis and conclude the means are different. 


B.B. Reject the null hypothesis and conclude the means are the same. 


C.C. Fail to reject the null hypothesis and conclude the means are the same. 


D.D. Fail to reject the null hypothesis and conclude the means are different. 


Question 14 of 54 
1.0 Points 
A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled and the average error from the industry standard is calculated. The results are presented below. The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the population standard deviations are equal. If the calculated value of t is +2.70, what would be the decision using the 0.01 level of significance?

A.A. Reject the null hypothesis and conclude the means are different. 


B.B. Reject the null hypothesis and conclude the means are the same. 


C.C. Fail to reject the null hypothesis and conclude the means are the same. 


D.D. Fail to reject the null hypothesis and conclude the means are different. 


Question 15 of 54 
1.0 Points 
A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diameters be as close as possible to an industry standard. The output from each process is sampled and the average error from the industry standard is calculated. The results are presented below. The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that the population standard deviations are equal. This example is what type of test?

A.A. One sample test of means. 


B.B. Two sample test of means. 


C.C. Paired ttest. 


D.D. Test of proportions. 


Question 16 of 54 
1.0 Points 
If we are testing for the difference between two population means, it is assumed that the sample observations from one population are independent of the sample observations from the other population.

Question 17 of 54 
1.0 Points 
A hospital administrator wishes to estimate the number of days that people who received a hip replacement spent in the ICU. How many records should be examined to have a 95% confidence that the estimate is not more than .6 day from the mean? Previous records suggest that the standard deviation is 1.5.

A.A. n = 40 


B.B. n = 25 


C.C. n = 60 


D.D. n = 68 


Question 18 of 54 
1.0 Points 
A medical researcher wants to compare the effects of a new process for treating defected cells after a first treatment and a second treatment. This is an example of paired or dependent observations.

Question 19 of 54 
1.0 Points 
Select the appropriate null and alternative hypothesis:

A.H0:π1 π2 ≥0;H1:π1 π2<0 


B.H0:π1 π2 ≠0;H1:π1 π2 =0 


C.H0:π1 =π2;H1:π1 ≠π2 


D.H0:π1 <π2;H1:π1 ≥π2 


Question 20 of 54 
5.0 Points 
Identify the following: alpha = ___, p1 = ___, p2 = ___; p’ = _____, SE(p1 – p2) = ______ {.05}
a= 0.5
p1=0.44
p2=0.3265
p1=0.4
SE (p1p2)= 0.05568 
Question 21 of 54 
1.0 Points 
Compute the test statistic value. z = ______

A.0.464 


B.1.392 


C.1.385 


D.3.210 


Question 22 of 54 
1.0 Points 
What is the critical value?

A.A. 1.96 


B.B. 1.64 


C.C. 2.33 


D.D. 2.57 


Question 23 of 54 
1.0 Points 
What is the decision and the conclusion?

A.A. Reject Ho and conclude that there is a difference in the regions 


B.B. Reject Ho and conclude that there is no difference in the regions 


C.C. Fail to reject Ho and conclude that there is a difference in the regions 


D.D. Fail to reject Ho and conclude that there is no difference in the regions 


Question 24 of 54 
1.0 Points 
Analysis of variance is used to

A.A. compare nominal data. 


B.B. compute t test. 


C.C. compare population proportion. 


D.D. simultaneously compare several population means. 


Question 25 of 54 
1.0 Points 
Use the following situation for Questions 25 and 26: In an effort to determine the most effective way to teach laboratory safety principles to a group of laboratory technicians, four different methods were tried. Some technicians were given programmed instruction booklets and worked through the course at their own pace. Other technicians attended lectures. A third group of technicians watched a television presentation, and a fourth group was divided into small discussion groups. A high of 10 was possible. A sample of five tests was selected from each group. The test grade results were: At the 0.01 level, what is the critical value (cutoff value for the critical region)?

A.A. 1.00 


B.B. 1.96 


C.C. 3.24 


D.D. 5.29 


Question 26 of 54 
1.0 Points 
Use the following situation for Questions 25 and 26: In an effort to determine the most effective way to teach laboratory safety principles to a group of laboratory technicians, four different methods were tried. Some technicians were given programmed instruction booklets and worked through the course at their own pace. Other technicians attended lectures. A third group of technicians watched a television presentation, and a fourth group was divided into small discussion groups. A high of 10 was possible. A sample of five tests was selected from each group. The test grade results were: How many treatments are there?

A.A. 3 


B.B. 4 


C.C. 12 


D.D. 0 


Question 27 of 54 
1.0 Points 
If an ANOVA test is conducted and the null hypothesis is rejected, what does this indicate?

A.A. Too many degrees of freedom 


B.B. No difference between the population means 


C.C. A difference between at least one pair of population means 


D.D. None of these 


Question 28 of 54 
1.0 Points 
In ANOVA analysis, when the null hypothesis is rejected, we can find which means are different by

A.A. perform a post hoc analysis 


B.B. adding another treatment. 


C.C. doing an additional ANOVA. 


D.D. doing a t test. 


Question 29 of 54 
1.0 Points 
Use the following situation for Questions 29 – 33: Given the following One Way Analysis of Variance table for three groups each with six observations each. What are the degrees of freedom for the numerator and denominator?

A.A. 3 and 18 


B.B. 2 and 17 


C.C. 3 and 15 


D.D. 2 and 15 


Question 30 of 54 
1.0 Points 
Use the following situation for Questions 29 – 33: Given the following One Way Analysis of Variance table for three groups each with six observations each. What is the critical value of F at the 5% level of significance?

A.A. 19.43 


B.B. 3.68 


C.C. 6.36 


D.D. 99.43 


Question 31 of 54 
1.0 Points 
Use the following situation for Questions 29 – 33: Given the following One Way Analysis of Variance table for three groups each with six observations each. What is the mean square between groups?

A.A. 71.2 


B.B. 71.4 


C.C. 558 


D.D. 534 


Question 32 of 54 
1.0 Points 
Use the following situation for Questions 29 – 33: Given the following One Way Analysis of Variance table for three groups each with six observations each. What is the computed value of F?

A.A. 7.48 


B.B. 7.84 


C.C. 8.84 


D.D. 8.48 


Question 33 of 54 
1.0 Points 
Use the following situation for Questions 29 – 33: Given the following One Way Analysis of Variance table for three groups each with six observations each. What is the decision?

A.A. Reject Ho – there is a difference in the groups means 


B.B. Fail to reject Ho – there is a difference in the groups means 


C.C. Reject Ho – there is a difference in errors 


D.D. Fail to reject Ho – there is a difference in errors 


Question 34 of 54 
1.0 Points 
The test statistic used in ANOVA is Student’s t.

Question 35 of 54 
1.0 Points 
What is our decision regarding the differences between the observed and expected frequencies if the critical value of chisquare is 9.488 and the computed value is 6.079?

A.A. The difference is probably due to sampling error; do not reject the null hypothesis 


B.B. Not due to chance; reject the null hypothesis 


C.C. Not due to chance; do not reject the alternate hypothesis 


D.D. Too close; reserve judgment 


Question 36 of 54 
1.0 Points 
The chisquare distribution can assume

A.A. only positive values. 


B.B. only negative values. 


C.C. negative and positive values or zero. 


D.D. only zero. 


Question 37 of 54 
1.0 Points 
Use the following situation for Question 37: The following table classifies an individual in two waysby gender and by educational choice. What is this twoway classification called?

A.A. Goodnessoffit test 


B.B. Frequency table 


C.C. ANOVA table 


D.D. Contingency table 


Question 38 of 54 
1.0 Points 
Use the following situation for Questions 38 – 42: A personnel manager is concerned about absenteeism. She decides to sample the records to determine if absenteeism is distributed evenly throughout the sixday workweek. The null hypothesis to be tested is: Absenteeism is distributed evenly throughout the week. The 0.01 level is to be used. The sample results are: What kind of frequencies are the numbers 9, 12, 9, 11, 10, and 9 called?

A.A. Acceptance 


B.B. Critical value 


C.C. Expected 


D.D. Observed 


Question 39 of 54 
1.0 Points 
Use the following situation for Questions 38 – 42: A personnel manager is concerned about absenteeism. She decides to sample the records to determine if absenteeism is distributed evenly throughout the sixday workweek. The null hypothesis to be tested is: Absenteeism is distributed evenly throughout the week. The 0.01 level is to be used. The sample results are: How many degrees of freedom are there?

A.A. 0 


B.B. 3 


C.C. 4 


D.D. 5 


Question 40 of 54 
1.0 Points 
Use the following situation for Questions 38 – 42: A personnel manager is concerned about absenteeism. She decides to sample the records to determine if absenteeism is distributed evenly throughout the sixday workweek. The null hypothesis to be tested is: Absenteeism is distributed evenly throughout the week. The 0.01 level is to be used. The sample results are: What is the expected frequency?

A.A. 9 


B.B. 10 


C.C. 11 


D.D. 12 


Question 41 of 54 
1.0 Points 
Use the following situation for Questions 38 – 42: A personnel manager is concerned about absenteeism. She decides to sample the records to determine if absenteeism is distributed evenly throughout the sixday workweek. The null hypothesis to be tested is: Absenteeism is distributed evenly throughout the week. The 0.01 level is to be used. The sample results are: What is the calculated value of chisquare?

A.A. 1.0 


B.B. 0.5 


C.C. 0.8 


D.D. 8.0 


Question 42 of 54 
1.0 Points 
Use the following situation for Questions 38 – 42: A personnel manager is concerned about absenteeism. She decides to sample the records to determine if absenteeism is distributed evenly throughout the sixday workweek. The null hypothesis to be tested is: Absenteeism is distributed evenly throughout the week. The 0.01 level is to be used. The sample results are: What is the critical value of chisquare with level of significance is .05?

A.A. 11.070 


B.B. 12.592 


C.C. 13.388 


D.D. 15.033 


Question 43 of 54 
1.0 Points 
Use the following situation for Questions 43 – 49: A recent clinical behavior study of the relationship between social activity and education showed the following results. The appropriate test to analyze the relationship between social activity and education is:

A.A. regression analysis 


B.B. Analysis of variance 


C.C. Contingency table analysis 


D.D. Goodnessoffit 


Question 44 of 54 
1.0 Points 
Use the following situation for Questions 43 – 49: A recent clinical behavior study of the relationship between social activity and education showed the following results. The appropriate test statistic for the analysis is a:

A.A. Fstatistic 


B.B. Tstatistic 


C.C. Chisquare statistic 


D.D. Zstatistic 


Question 45 of 54 
1.0 Points 
Use the following situation for Questions 43 – 49: A recent clinical behavior study of the relationship between social activity and education showed the following results. The null hypothesis for the analysis is:

A.A. There is no relationship between social activity and education. 


B.B. The correlation between social activity and education is zero. 


C.C. As social activity increases, education increases. 


D.D. The mean of social activity equals the mean of education. 


Question 46 of 54 
1.0 Points 
Use the following situation for Questions 43 – 49: A recent clinical behavior study of the relationship between social activity and education showed the following results. The degrees of freedom for the analysis is:

A.A. 1 


B.B. 2 


C.C. 3 


D.D. 4 


Question 47 of 54 
1.0 Points 
Use the following situation for Questions 43 – 49: A recent clinical behavior study of the relationship between social activity and education showed the following results. Using 0.05 as the significance level, what is the critical value for the test statistic?

A.A. 9.488 


B.B. 5.991 


C.C. 7.815 


D.D. 3.841 


Question 48 of 54 
1.0 Points 
Use the following situation for Questions 43 – 49: A recent clinical behavior study of the relationship between social activity and education showed the following results. What is the value of the test statistic?

A.A. 83.67 


B.B. 135.24 


C.C. 50 


D.D. 4.94 


Question 49 of 54 
1.0 Points 
Use the following situation for Questions 43 – 49: A recent clinical behavior study of the relationship between social activity and education showed the following results. Based on the analysis, what can be concluded?

A.A. Social activity and education are correlated. 


B.B. Social activity and education are not related. 


C.C. Social activity and education are related. 


D.D. No conclusion is possible. 


Question 50 of 54 
1.0 Points 
Use the following situation for Questions 50 – 54: Recently, students in a marketing research class were interested in the driving behavior of students. Specifically, the marketing students were interested if exceeding the speed limit was related to social activity. They collected the following responses from 110 randomly selected students: The null hypothesis for the analysis is:

A.A. There is no relationship between gender and driving behavior. 


B.B. The correlation between driving behavior and gender is zero. 


C.C. As driving behavior increases, gender increases. 


D.D. The mean of driving behavior equals the mean of gender. 


Question 51 of 54 
1.0 Points 
Use the following situation for Questions 50 – 54: Recently, students in a marketing research class were interested in the driving behavior of students. Specifically, the marketing students were interested if exceeding the speed limit was related to social activity. They collected the following responses from 110 randomly selected students: . The degrees of freedom for the analysis is:

A.A. 1 


B.B. 2 


C.C. 3 


D.D. 4 


Question 52 of 54 
1.0 Points 
Use the following situation for Questions 50 – 54: Recently, students in a marketing research class were interested in the driving behavior of students. Specifically, the marketing students were interested if exceeding the speed limit was related to social activity. They collected the following responses from 110 randomly selected students: Using 0.05 as the significance level, what is the critical value for the test statistic?

A.A. 9.488 


B.B. 5.991 


C.C. 7.815 


D.D. 3.841 


Question 53 of 54 
1.0 Points 
Use the following situation for Questions 50 – 54: Recently, students in a marketing research class were interested in the driving behavior of students. Specifically, the marketing students were interested if exceeding the speed limit was related to social activity. They collected the following responses from 110 randomly selected students: What is the value of the test statistic?

A.A. 83.67 


B.B. 7.82 


C.C. 50 


D.D. 4.94 


Question 54 of 54 
1.0 Points 
Use the following situation for Questions 50 – 54: Recently, students in a marketing research class were interested in the driving behavior of students. Specifically, the marketing students were interested if exceeding the speed limit was related to social activity. They collected the following responses from 110 randomly selected students: Based on the analysis, what can be concluded?

A.A. driving behavior and gender are correlated. 


B.B. driving behavior and gender are not related. 


C.C. driving behavior and gender are related. 


D.D. No conclusion is possible. 

