Question 1

The standard error of is the $\bar { x } _ { 1 } - \bar { x } _ { 2 }$

Accepted Answer

A)  variance of 
B)  variance of the sampling distribution of 
C)  standard deviation of the sampling distribution of 
D)  difference between the two means 
A)  variance of 
B)  variance of the sampling distribution of 
C)  standard deviation of the sampling distribution of 
D)  difference between the two means

Question 2

Exhibit 10-12
 $$\begin{array} { l c c c c } 
\begin{array} { l } 
\text { Source of } \
\text { Variation }
\end{array} & \begin{array} { c } 
\text { Sum of } \
\text { Squares }
\end{array} & \begin{array} { c } 
\text { Degrees of } \
\text { Freedom }
\end{array} & \begin{array} { c } 
\text { Mean } \
\text { Square }
\end{array} & \text { F } \
\begin{array} { l } 
\text { Setween Treatments } \
\text { Within Treatments Error) }
\end{array} & 180 & 3 & \
\text { TOTAL } & 480 & 18 &
\end{array}$$
-Refer to Exhibit 10-12. If at 95% confidence, we want to determine whether or not the means of the populations are equal, the p-value is

Accepted Answer

A)  between 0.01 to 0.025 
B)  between 0.025 to 0.05 
C)  between 0.05 to 0.1 
D)  greater than 0.1 
A)  between 0.01 to 0.025 
B)  between 0.025 to 0.05 
C)  between 0.05 to 0.1 
D)  greater than 0.1

Question 3

Exhibit 10-13
Part of an ANOVA table is shown below.
 $\begin{array}{lr}
  \text { Source of } & \text { Sum of }& \text {Degrees}& \text {Mean}\
 \text {Variation  } &\text { Squares} & \text {of Freedom}& \text {Square}& \text {F}\
 \text {  Between Treatments} &64&&&8\
 \text { Within Treatments } &&&2\
 \text {  Error} &\
\hline \text {Total  } &100\
\end{array}$

-Refer to Exhibit 10-13. If at 95% confidence we want to determine whether or not the means of the populations are equal, the p-value is

Accepted Answer

A)  greater than 0.1 
B)  between 0.05 to 0.1 
C)  between 0.025 to 0.05 
D)  less than 0.01 
A)  greater than 0.1 
B)  between 0.05 to 0.1 
C)  between 0.025 to 0.05 
D)  less than 0.01

Question 4

Exhibit 10-14
The following is part of an ANOVA table that was obtained from data regarding three treatments and a total of 15 observations.
 $$\begin{array} { l c c } 
\begin{array} { l } 
\text { Source of } \
\text { Variation }
\end{array} & \begin{array} { c } 
\text { Sum of } \
\text { Squares }
\end{array} & \begin{array} { c } 
\text { Degrees of } \
\text { Freedom }
\end{array} \
\text { Between Treatments } & 64 & \
\text { Error Within Treatments) } & 96 &
\end{array}$$
-Refer to Exhibit 10-14. The conclusion of the test is that the means

Accepted Answer

A)  are equal 
B)  may be equal 
C)  are not equal 
D)  None of these alternatives is correct. 
A)  are equal 
B)  may be equal 
C)  are not equal 
D)  None of these alternatives is correct.

Question 5

The variable of interest in an ANOVA procedure is called

Accepted Answer

A)  a partition 
B)  a treatment 
C)  either a partition or a treatment 
D)  a factor 
A)  a partition 
B)  a treatment 
C)  either a partition or a treatment 
D)  a factor

Question 6

Exhibit 10-1
Salary information regarding male and female employees of a large company is shown below.
 $$\begin{array} { l c c } 
& \text { Male } & \text { Female } \
\text { Sample Size } & 64 & 36 \
\text { Sample Mean Salary in } \$ 1,000) & 44 & 41 \
\text { Population Variance } \sigma^{2} \text { ) } & 128 & 72
\end{array}$$
-Refer to Exhibit 10-1. The standard error for the difference between the two means is

Accepted Answer

A)  4 
B)  7.46 
C)  4.24 
D)  2.0 
A)  4 
B)  7.46 
C)  4.24 
D)  2.0

Question 7

The p-value

Accepted Answer

A)  is the same as the Z statistic 
B)  measures the number of standard deviations from the mean 
C)  is a distance 
D)  is a probability 
A)  is the same as the Z statistic 
B)  measures the number of standard deviations from the mean 
C)  is a distance 
D)  is a probability

Question 8

Six observations were selected from each of three populations. The data obtained is shown below.
 $\begin{array}{lll}\text { Sample } 1&\text { Sample } 2&\text { Sample } 3\
31 & 31 & 37 \
28 & 32 & 36 \
34 & 33 & 39 \
32 & 30 & 40 \
26 & 32 & 35 \
29 & 34 & 35
\end{array}$ 
a. Compute the overall sample mean .
b. Test at the α = 0.05 level to determine if there is a significant difference in the means of the three populations.

Accepted Answer

a. 33
b. ANOVA
 @#IMG-DLM& F =

Question 9

When developing an interval estimate for the difference between two sample means, with sample sizes of n1 and n2,

Accepted Answer

A)  n1 must be equal to n2 
B)  n1 must be smaller than n2 
C)  n1 must be larger than n2 
D)  n1 and n2 can be of different sizes, 
A)  n1 must be equal to n2 
B)  n1 must be smaller than n2 
C)  n1 must be larger than n2 
D)  n1 and n2 can be of different sizes,

Question 10

If we are interested in testing whether the mean of items in population 1 is larger than the mean of items in population 2, the

Accepted Answer

A) null hypothesis should state μ1 - μ2 0 C) alternative hypothesis should state μ1 - μ2 > 0 D) alternative hypothesis should state μ1 - μ2 < 0 A) null hypothesis should state μ1 - μ2 0 C) alternative hypothesis should state μ1 - μ2 > 0 D) alternative hypothesis should state μ1 - μ2 < 0

Question 11

When using inference regarding two population means for "matched samples," the following values were found for d = Score After - Score Before: 2, -4, 1, 2, -1
The test statistics for this situation is

Accepted Answer

A)  0 
B)  1 
C)  Since the confidence level is not known, it cannot be answered. 
D)  Not enough information is given to answer this question. 
A)  0 
B)  1 
C)  Since the confidence level is not known, it cannot be answered. 
D)  Not enough information is given to answer this question.

Question 12

Exhibit 10-6
The management of a department store is interested in estimating the difference between the mean credit purchases of customers using the store's credit card versus those customers using a national major credit card. You are given the following information.
 $\begin{array}{lcc}
&\text { Store's Card } & \text { Major Credit Card } \
\text { Sample size }&64 & 49 \
\text { Sample mean }&\$ 140 & \$ 125 \
\text { Population standard deviation }&\$ 10 & \$ 8
\end{array}$
-Refer to Exhibit 10-6. A point estimate for the difference between the mean purchases of the users of the two credit cards is

Accepted Answer

A)  2 
B)  18 
C)  265 
D)  15 
A)  2 
B)  18 
C)  265 
D)  15

Question 13

Independent simple random samples are taken to test the difference between the means of two populations whose variances are known. The sample sizes are n1 = 38 and n2 = 42. The correct distribution to use is the

Accepted Answer

A)  normal distribution 
B)  t distribution with 80 degrees of freedom 
C)  t distribution with 79 degrees of freedom 
D)  t distribution with 78 degrees of freedom 
A)  normal distribution 
B)  t distribution with 80 degrees of freedom 
C)  t distribution with 79 degrees of freedom 
D)  t distribution with 78 degrees of freedom

Question 14

Exhibit 10-11
In a completely randomized experimental design involving five treatments, 13 observations were recorded for each of the five treatments a total of 65 observations). The following information is provided.
SSTR = 200 Sum Square Between Treatments) SST = 800 Total Sum Square)
-Refer to Exhibit 10-11. The mean square between treatments MSTR) is

Accepted Answer

A)  3.34 
B)  10.00 
C)  50.00 
D)  12.00 
A)  3.34 
B)  10.00 
C)  50.00 
D)  12.00

Question 15

For a two-tailed test at 86.12% confidence, Z =

Accepted Answer

A)  1.96 
B)  1.48 
C)  1.09 
D)  0.8612 
A)  1.96 
B)  1.48 
C)  1.09 
D)  0.8612

Question 16

Exhibit 10-3
A statistics teacher wants to see if there is any difference in the abilities of students enrolled in statistics today and those enrolled five years ago. A sample of final examination scores from students enrolled today and from students enrolled five years ago was taken. You are given the following information. $$\begin{array}{l}
& \text { Today } & \text { Five Years Ago } \
\overline { \mathrm { x } }  & 82.0 & 88 \
\sigma ^ { 2 } & 112.5 & 54 \
\mathrm { n } & 45.0 & 36
\end{array}$$ 
 $$\begin{array}{cc}
\text { Today } & \text { Five Years Ago }\
82.0 & 88 \
112.5 & 54 \
45.0 & 36
\end{array}$$ $\begin{array}{cc}
\text { Today }&\text { Five Years Ago }\
82.0 & 88 \
112.5 & 54 \
45.0 & 36
\end{array}$ n
-Refer to Exhibit 10-3. The 95% confidence interval for the difference between the two population means is

Accepted Answer

A)  -9.92 to -2.08 
B)  -3.92 to 3.92 
C)  -13.84 to 1.84 
D)  -24.228 to 12.23 
A)  -9.92 to -2.08 
B)  -3.92 to 3.92 
C)  -13.84 to 1.84 
D)  -24.228 to 12.23

Question 17

Exhibit 10-12
 $$\begin{array} { l c c c c } 
\begin{array} { l } 
\text { Source of } \
\text { Variation }
\end{array} & \begin{array} { c } 
\text { Sum of } \
\text { Squares }
\end{array} & \begin{array} { c } 
\text { Degrees of } \
\text { Freedom }
\end{array} & \begin{array} { c } 
\text { Mean } \
\text { Square }
\end{array} & \text { F } \
\begin{array} { l } 
\text { Setween Treatments } \
\text { Within Treatments Error) }
\end{array} & 180 & 3 & \
\text { TOTAL } & 480 & 18 &
\end{array}$$
-Refer to Exhibit 10-12. The test statistic is

Accepted Answer

A)  2.25 
B)  6 
C)  2.67 
D)  3 
A)  2.25 
B)  6 
C)  2.67 
D)  3

Question 18

Two independent random samples of annual starting salaries for individuals with masters and bachelors degrees in business were taken and the results are shown below
Masters Degree
Bachelors Degree
Sample Size 33.0 30
Sample Mean in $1,000) 58.0 54
Sample Standard Deviation in $1,000) 2.4 2
a. What are the degrees of freedom for the t distribution?
b. Provide a 95% confidence interval estimate for the difference between the salaries of the two groups.

Accepted Answer

a. 60
b. 2

Question 19

Exhibit 10-3
A statistics teacher wants to see if there is any difference in the abilities of students enrolled in statistics today and those enrolled five years ago. A sample of final examination scores from students enrolled today and from students enrolled five years ago was taken. You are given the following information. $$\begin{array}{l}
& \text { Today } & \text { Five Years Ago } \
\overline { \mathrm { x } }  & 82.0 & 88 \
\sigma ^ { 2 } & 112.5 & 54 \
\mathrm { n } & 45.0 & 36
\end{array}$$ 
 $$\begin{array}{cc}
\text { Today } & \text { Five Years Ago }\
82.0 & 88 \
112.5 & 54 \
45.0 & 36
\end{array}$$ $\begin{array}{cc}
\text { Today }&\text { Five Years Ago }\
82.0 & 88 \
112.5 & 54 \
45.0 & 36
\end{array}$ n
-Refer to Exhibit 10-3. The p-value for the difference between the two population means is

Accepted Answer

A)  .0013 
B)  .0026 
C)  .4987 
D)  .9987 
A)  .0013 
B)  .0026 
C)  .4987 
D)  .9987

Question 20

The ANOVA procedure is a statistical approach for determining whether or not

Accepted Answer

A)  the means of two samples are equal 
B)  the means of two or more samples are equal 
C)  the means of more than two samples are equal 
D)  the means of two or more populations are equal 
A)  the means of two samples are equal 
B)  the means of two or more samples are equal 
C)  the means of more than two samples are equal 
D)  the means of two or more populations are equal

The standard error of is the $\bar { x } _ { 1 } - \bar { x } _ { 2 }$

Exhibit 10-12 Source of Variation Sum of Squares Degrees of Freedom Mean Square F Setween Treatments Within Treatments Error) 180 3 TOTAL 480 18 -Refer to Exhibit 10-12. If at 95% confidence, we want to determine whether or not the means of the populations are equal, the p-value is

The variable of interest in an ANOVA procedure is called

Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below. Male Female Sample Size 64 36 Sample Mean Salary in \ 1,000) 44 41 Population Variance ) 128 72 -Refer to Exhibit 10-1. The standard error for the difference between the two means is

The p-value

When developing an interval estimate for the difference between two sample means, with sample sizes of n1 and n2,

If we are interested in testing whether the mean of items in population 1 is larger than the mean of items in population 2, the

When using inference regarding two population means for "matched samples," the following values were found for d = Score After - Score Before: 2, -4, 1, 2, -1 The test statistics for this situation is

Independent simple random samples are taken to test the difference between the means of two populations whose variances are known. The sample sizes are n1 = 38 and n2 = 42. The correct distribution to use is the

For a two-tailed test at 86.12% confidence, Z =

Exhibit 10-12 Source of Variation Sum of Squares Degrees of Freedom Mean Square F Setween Treatments Within Treatments Error) 180 3 TOTAL 480 18 -Refer to Exhibit 10-12. The test statistic is

The ANOVA procedure is a statistical approach for determining whether or not

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Comparisons Involving Proportions and a Test of Independence

Simple Linear Regression

Multiple Regression

Filters

Exam 10: Comparisons Involving Means, Experimental Design, and Analysis of Variance

The standard error of is the xˉ1−xˉ2\bar { x } _ { 1 } - \bar { x } _ { 2 }xˉ1​−xˉ2​

Exhibit 10-12 Source of Variation Sum of Squares Degrees of Freedom Mean Square F Setween Treatments Within Treatments Error) 180 3 TOTAL 480 18 -Refer to Exhibit 10-12. If at 95% confidence, we want to determine whether or not the means of the populations are equal, the p-value is

The variable of interest in an ANOVA procedure is called

Exhibit 10-1 Salary information regarding male and female employees of a large company is shown below. Male Female Sample Size 64 36 Sample Mean Salary in \ 1,000) 44 41 Population Variance ) 128 72 -Refer to Exhibit 10-1. The standard error for the difference between the two means is

The p-value

When developing an interval estimate for the difference between two sample means, with sample sizes of n1 and n2,

If we are interested in testing whether the mean of items in population 1 is larger than the mean of items in population 2, the

When using inference regarding two population means for "matched samples," the following values were found for d = Score After - Score Before: 2, -4, 1, 2, -1 The test statistics for this situation is

Independent simple random samples are taken to test the difference between the means of two populations whose variances are known. The sample sizes are n1 = 38 and n2 = 42. The correct distribution to use is the

For a two-tailed test at 86.12% confidence, Z =

Exhibit 10-12 Source of Variation Sum of Squares Degrees of Freedom Mean Square F Setween Treatments Within Treatments Error) 180 3 TOTAL 480 18 -Refer to Exhibit 10-12. The test statistic is

The ANOVA procedure is a statistical approach for determining whether or not

Data and Statistics

Descriptive Statistics: Tabular and Graphical Displays

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Comparisons Involving Proportions and a Test of Independence

Simple Linear Regression

Multiple Regression

Filters

The standard error of is the $\bar { x } _ { 1 } - \bar { x } _ { 2 }$