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Overview of Data Analysis

Total questions: 20

Worksheet time: 22mins

Name
Class
Date
1.

A consumer confidence researcher asks several retailers to report the number of LCD televisions sold during a particular month. These numbers most likely represent what level of measurement?

a)

Ordinal

b)

Ratio

c)

Interval

d)

Nominal

2.

A student evaluation of teaching effectiveness for a particular course asks students to respond to their level of agreement with several statements according to the scale 1 = Strongly Agree, 2 = Agree, 3 = Neutral, 4 = Disagree, and 5 = Strongly Disagree. The responses indicate what level of measurement?

a)

Ordinal

b)

Ratio

c)

Interval

d)

Nominal

3.

The nominal level of measurement is represented in which variable below?

a)

Fear of Crime

b)

Temperature

c)

Marital Status

d)

Gender

e)

Income

4.

The ordinal level of measurement is represented in which variable below?

a)

Confidence Level

b)

Gender

c)

Level of Agreement

d)

Height

e)

Age

5.

A parametric statistical test is one that makes assumptions about the parameters (defining properties) of the population distribution(s) from which one's data are drawn.

a)

True

b)

False

6.

What are the examples of Parametric Test?

a)

T-test

b)

One-way ANOVA

c)

Chi-Square Test of Independence

d)

Pearson r Correlation

e)

Regression

7.

Which of the following tests is the non-parametric equivalent of Pearson r correlation?

a)

Kolmogorov-Smirnov Test

b)

Shapiro-Wilk Test

c)

Spearman Correlation

d)

Chi-square Test of Independence

8.

What are the assumptions of a Parametric test?

a)

Normality of Data

b)

Homogeneity of Variances

c)

Linearity

9.

Levene’s Test is used to test the equality of variances.

a)

True

b)

False

10.

In hypothesis testing, a Type 2 error occurs when

a)

The null hypothesis is not rejected when the null hypothesis is true.

b)

The null hypothesis is rejected when the null hypothesis is true.

c)

The null hypothesis is not rejected when the alternative hypothesis is true.

d)

The null hypothesis is rejected when the alternative hypothesis is true.

11.

Which one of the following variables is not categorical?

a)

Age of a person

b)

Gender of a person

c)

Choice on a test item

d)

Marital status of a person

12.

A team of psychologists are interested in the effects of sleep deprivation on new learning. College students (N = 10) stay in a sleep lab for 2 days. Five participants are randomly assigned to an experimental condition in which they are not permitted to sleep during that period; the other five participants are allowed to sleep when they wish. At the end of two days, all participants attended a class that taught the principles of gene combination. They were given a test after the end of the class and counted the number of correct answers. Which of the following statistics would you recommend to test their hypothesis?

a)

Chi-square Test of Independence

b)

Independent Samples T-Test

c)

Dependent Samples T-Test

d)

Pearson r Correlation

e)

Linear Regression Analysis

13.

To investigate relationships, pearson r correlation can be used when the analysis involves two continuous variables.

a)

True

b)

False

14.

Multiple regression analysis enables an understanding of a set of dependent variables for their ability to explain variance in the independent variables.

a)

True

b)

False

15.

Regression analysis has stringent assumptions that must be checked before running the tests to ensure they are not violated towards achieving a good regression model.

a)

True

b)

False

16.

You conduct a study to examine the relationship between age and the number of occurrences of back pain that a person has experienced in their lifetime. You sample 10 people at random from the phone book. What statistical test can be used to predict the number of occurrences of back pain that someone should expect to have by the time they are 40 years old?

a)

Pearson r correlation

b)

One-way ANOVA

c)

Independent samples t-test

d)

Regression Analysis

17.

What is the direction of relationship if the values of X and Y go in opposite direction (Y decreases as X increases)

a)

Positive

b)

Negative

18.

The closer to zero the stronger the linear relationship and the closer to 1.0 the weaker the linear relationship.

a)

True

b)

False

19.

Regression Analysis is used to predict how one variable will change with another

a)

True

b)

False

20.

A Pearson test statistic of .876 with a critical value of 0.361 would suggest what?

a)

This would suggest that there is a non-significant, weak, negative relationship.

b)

This would suggest that there is a significant, strong, negative relationship.

c)

This would suggest that there is a significant, strong, positive relationship.

d)

This would suggest that there is a significant, weak, positive relationship.

e)

This would suggest that there is a non-significant, weak, positive relationship.