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20 questions
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?
Ordinal
Ratio
Interval
Nominal
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?
Ordinal
Ratio
Interval
Nominal
The nominal level of measurement is represented in which variable below?
Fear of Crime
Temperature
Marital Status
Gender
Income
The ordinal level of measurement is represented in which variable below?
Confidence Level
Gender
Level of Agreement
Height
Age
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.
True
False
What are the examples of Parametric Test?
T-test
One-way ANOVA
Chi-Square Test of Independence
Pearson r Correlation
Regression
Which of the following tests is the non-parametric equivalent of Pearson r correlation?
Kolmogorov-Smirnov Test
Shapiro-Wilk Test
Spearman Correlation
Chi-square Test of Independence
What are the assumptions of a Parametric test?
Normality of Data
Homogeneity of Variances
Linearity
Levene’s Test is used to test the equality of variances.
True
False
In hypothesis testing, a Type 2 error occurs when
The null hypothesis is not rejected when the null hypothesis is true.
The null hypothesis is rejected when the null hypothesis is true.
The null hypothesis is not rejected when the alternative hypothesis is true.
The null hypothesis is rejected when the alternative hypothesis is true.
Which one of the following variables is not categorical?
Age of a person
Gender of a person
Choice on a test item
Marital status of a person
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?
Chi-square Test of Independence
Independent Samples T-Test
Dependent Samples T-Test
Pearson r Correlation
Linear Regression Analysis
To investigate relationships, pearson r correlation can be used when the analysis involves two continuous variables.
True
False
Multiple regression analysis enables an understanding of a set of dependent variables for their ability to explain variance in the independent variables.
True
False
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.
True
False
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?
Pearson r correlation
One-way ANOVA
Independent samples t-test
Regression Analysis
What is the direction of relationship if the values of X and Y go in opposite direction (Y decreases as X increases)
Positive
Negative
The closer to zero the stronger the linear relationship and the closer to 1.0 the weaker the linear relationship.
True
False
Regression Analysis is used to predict how one variable will change with another
True
False
A Pearson test statistic of .876 with a critical value of 0.361 would suggest what?
This would suggest that there is a non-significant, weak, negative relationship.
This would suggest that there is a significant, strong, negative relationship.
This would suggest that there is a significant, strong, positive relationship.
This would suggest that there is a significant, weak, positive relationship.
This would suggest that there is a non-significant, weak, positive relationship.
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