Question 1

If you wanted to predict sales numbers from the number of sick days employees have taken, you could use regression.

Accepted Answer

A) True 
 B)False  True

Question 2

$\begin{array}{|c|c|}
\hline \text { Sales (Time 1) } & \text { Sales (Time 2) } \
\hline 3809 & 5223 \
\hline 5133 & 4053 \
\hline 4594 & 4471 \
\hline 6185 & 6589 \
\hline 4667 & 5550 \
\hline 5805 & 5579 \
\hline 5168 & 4891 \
\hline 3014 & 1365 \
\hline 4511 & 5981 \
\hline 4248 & 5497 \
\hline
\end{array}$ Is there a relationship between Sales at Time 1 and Time 2? Complete the full hypothesis testing process as described in Chapter 7 to examine this question and draw all appropriate conclusions.

Accepted Answer

RQ: Is there a linear relationship between Money and Money?
H₀: ρ = 0
H₁: ρ ≠ 0
α = .05
t(8)_crit = ±2.306
t(8) = 2.58, p = 0.03
r² = 0.45
y′ = 1.05x - 29.86
Conclusion: Reject the null and accept the alternative. The correlation is statistically significant. There is a linear relationship between Money and Money. 45% of the variance in each variable is explained by the other variable. For every 1 point increase in Money, we'd expect a 1.05 increase in Money.

Question 3

There is one "right" way to approach analysis to any particular research question.

Accepted Answer

A) True 
 B)False  False

Question 4

If you wanted to conduct a paired-samples t-test, but your outcome data were ordinal, a ______ might be more appropriate.

Accepted Answer

A)  Kruskal-Wallis test 
B)  Wilcoxon signed-rank test 
C)  Spearman's rho 
D)  McNemar's test 
A)  Kruskal-Wallis test 
B)  Wilcoxon signed-rank test 
C)  Spearman's rho 
D)  McNemar's test

Question 5

With one interval-level DV and no IVs, you would most likely need to conduct a ______.

Accepted Answer

A)  one-sample t-test or z-test 
B)  one-way ANOVA 
C)  χ2 goodness-of-fit test 
D)  correlational analysis 
A)  one-sample t-test or z-test 
B)  one-way ANOVA 
C)  χ2 goodness-of-fit test 
D)  correlational analysis

Question 6

Which of the following is an example of exploratory data analysis?

Accepted Answer

A)  data mining 
B)  confirmatory analysis 
C)  hypothesis testing 
D)  none of these 
A)  data mining 
B)  confirmatory analysis 
C)  hypothesis testing 
D)  none of these

Question 7

A code sheet is used to ______.

Accepted Answer

A)  clean data 
B)  provide context to data 
C)  enable confirmatory analyses 
D)  all of these 
A)  clean data 
B)  provide context to data 
C)  enable confirmatory analyses 
D)  all of these

Question 8

$  \quad $  $  \quad $  $  \quad $  $  \quad $  $  \quad $  $  \quad $  $  \quad $ $\text { Training costs }$
$\begin{array}{|c|c|c|c|}
\hline \text { Sales } & \text { Service } & \text { Warehouse } & \text { Management } \
\hline 5339 & 7540 & 5453 & 7373 \
\hline 6970 & 3997 & 5421 & 5996 \
\hline 4497 & 5295 & 5381 & 6697 \
\hline 4750 & 4689 & 8074 & 7429 \
\hline 5357 & 3980 & 6473 & 7617 \
\hline
\end{array}$ You would like to compare employees in each of the four departments of your organization: the sales department, the service department, the warehouse, and management. Specifically, you want to know if training costs are different due to Department. Complete the full hypothesis testing process as described in Chapter 7 to examine this question and draw all appropriate conclusions.

Accepted Answer

RQ: Are there differences in Money by De

Question 9

The coefficient of determination alone can be used to assess ______.

Accepted Answer

A)  statistical significance 
B)  practical significance 
C)  both a and b 
D)  neither of these 
A)  statistical significance 
B)  practical significance 
C)  both a and b 
D)  neither of these

Question 10

Under what conditions can a correlation coefficient indicate causation?

Accepted Answer

A)  if a t-test is run to test the significance of the correlation 
B)  if a coefficient of determination is calculated 
C)  if an experiment is used to manipulate the IV 
D)  A correlation can never indicate causation. 
A)  if a t-test is run to test the significance of the correlation 
B)  if a coefficient of determination is calculated 
C)  if an experiment is used to manipulate the IV 
D)  A correlation can never indicate causation.

Question 11

With an independent-sample t-test, we identify that women have significantly higher job satisfaction than men. If we were to apply this to conclude that Employee A (who is female) has higher job satisfaction than Employee B (who is male), we have ______.

Accepted Answer

A)  made a correct decision 
B)  committed an ecological fallacy 
C)  committed a Type I error 
D)  committed a Type II error 
A)  made a correct decision 
B)  committed an ecological fallacy 
C)  committed a Type I error 
D)  committed a Type II error

Question 12

If a dependent variable is measured twice, it is considered a ______ dependent variable.

Accepted Answer

A)  repeated measures 
B)  paired 
C)  repeated 
D)  all of these 
A)  repeated measures 
B)  paired 
C)  repeated 
D)  all of these

Question 13

Correlation can be used to explore the relationship between ______.

Accepted Answer

A)  two DVs 
B)  one IV and one DV 
C)  both a and b 
D)  neither of these 
A)  two DVs 
B)  one IV and one DV 
C)  both a and b 
D)  neither of these

Question 14

If you wanted to use an independent-samples t-test and your data were not normally distributed, you might use a Mann-Whitney U.

Accepted Answer

A) True 
 B)False

Question 15

With one nominal-level outcome variable, you would most likely need to conduct a ______.

Accepted Answer

A)  one-way ANOVA 
B)  χ2 goodness-of-fit test 
C)  regression analysis 
D)  one-sample t-test or z-test 
A)  one-way ANOVA 
B)  χ2 goodness-of-fit test 
C)  regression analysis 
D)  one-sample t-test or z-test

Question 16

If we expect increased product costs to reduce sales, product costs would be the ______.

Accepted Answer

A)  paired variable 
B)  outcome variable 
C)  independent variable 
D)  dependent variable 
A)  paired variable 
B)  outcome variable 
C)  independent variable 
D)  dependent variable

Question 17

If you want to compare your sample mean to a population mean, you should always use a z-test.

Accepted Answer

A) True 
 B)False

Question 18

By specifying an independent and dependent variable, we can make conclusions about causality.

Accepted Answer

A) True 
 B)False

Question 19

What is the difference between range restriction and range enhancement? What is the effect on a correlation when each occurs?

Accepted Answer

Range restriction occurs when the top or

Question 20

With one three-level nominal variable and one interval-level outcome variable, you would most likely need to conduct a ______.

Accepted Answer

A)  paired-samples t-test 
B)  independent-samples t-test 
C)  z-test or one-sample t-test 
D)  one-way ANOVA 
A)  paired-samples t-test 
B)  independent-samples t-test 
C)  z-test or one-sample t-test 
D)  one-way ANOVA

If you wanted to predict sales numbers from the number of sick days employees have taken, you could use regression.

There is one "right" way to approach analysis to any particular research question.

If you wanted to conduct a paired-samples t-test, but your outcome data were ordinal, a ______ might be more appropriate.

With one interval-level DV and no IVs, you would most likely need to conduct a ______.

Which of the following is an example of exploratory data analysis?

A code sheet is used to ______.

The coefficient of determination alone can be used to assess ______.

Under what conditions can a correlation coefficient indicate causation?

With an independent-sample t-test, we identify that women have significantly higher job satisfaction than men. If we were to apply this to conclude that Employee A (who is female) has higher job satisfaction than Employee B (who is male), we have ______.

If a dependent variable is measured twice, it is considered a ______ dependent variable.

Correlation can be used to explore the relationship between ______.

If you wanted to use an independent-samples t-test and your data were not normally distributed, you might use a Mann-Whitney U.

With one nominal-level outcome variable, you would most likely need to conduct a ______.

If we expect increased product costs to reduce sales, product costs would be the ______.

If you want to compare your sample mean to a population mean, you should always use a z-test.

By specifying an independent and dependent variable, we can make conclusions about causality.

What is the difference between range restriction and range enhancement? What is the effect on a correlation when each occurs?

With one three-level nominal variable and one interval-level outcome variable, you would most likely need to conduct a ______.

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Sampling Distributions

Estimation and Confidence Intervals

Hypothesis Testing

Tests for Significance: Z-Tests and One-Sample T-Tests

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Correlation R and Regression Y BX A

Filters

Exam 13: Matching Statistical Tests to Business Problems

If you wanted to predict sales numbers from the number of sick days employees have taken, you could use regression.

There is one "right" way to approach analysis to any particular research question.

If you wanted to conduct a paired-samples t-test, but your outcome data were ordinal, a ______ might be more appropriate.

With one interval-level DV and no IVs, you would most likely need to conduct a ______.

Which of the following is an example of exploratory data analysis?

A code sheet is used to ______.

The coefficient of determination alone can be used to assess ______.

Under what conditions can a correlation coefficient indicate causation?

With an independent-sample t-test, we identify that women have significantly higher job satisfaction than men. If we were to apply this to conclude that Employee A (who is female) has higher job satisfaction than Employee B (who is male), we have ______.

If a dependent variable is measured twice, it is considered a ______ dependent variable.

Correlation can be used to explore the relationship between ______.

If you wanted to use an independent-samples t-test and your data were not normally distributed, you might use a Mann-Whitney U.

With one nominal-level outcome variable, you would most likely need to conduct a ______.

If we expect increased product costs to reduce sales, product costs would be the ______.

If you want to compare your sample mean to a population mean, you should always use a z-test.

By specifying an independent and dependent variable, we can make conclusions about causality.

What is the difference between range restriction and range enhancement? What is the effect on a correlation when each occurs?

With one three-level nominal variable and one interval-level outcome variable, you would most likely need to conduct a ______.

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Sampling Distributions

Estimation and Confidence Intervals

Hypothesis Testing

Tests for Significance: Z-Tests and One-Sample T-Tests

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Correlation R and Regression Y BX A

Filters