Exam 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics

Assuming the histogram in Q17 is not normally distributed (i.e. does not have a 'bell-shaped' curve appearance), what would be the most appropriate measure of central tendency?

(Multiple Choice)

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Question 21

The courses studied by a group of undergraduate students would be considered an example of which level of measurement?

(Multiple Choice)

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Question 22

Why might the range not be an accurate representation of data dispersion for the data presented in Q17?

(Multiple Choice)

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Question 23

Which of the following is not a hypothesis?

(Multiple Choice)

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Question 24

If the interquartile range is less sensitive to outlying data points (see the histogram in Q16), what might be an appropriate measure of central tendency?

(Multiple Choice)

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Question 25

A sports psychologist was interested in the effects of a six-week imagery intervention on an athlete's ability to execute a sport-specific skills such penalty taking in football/soccer. How might you define the imagery variable?

(Multiple Choice)

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Question 26

Showing 21 - 26 of 26

Assuming the histogram in Q17 is not normally distributed (i.e. does not have a 'bell-shaped' curve appearance), what would be the most appropriate measure of central tendency?

The courses studied by a group of undergraduate students would be considered an example of which level of measurement?

Why might the range not be an accurate representation of data dispersion for the data presented in Q17?

Which of the following is not a hypothesis?

If the interquartile range is less sensitive to outlying data points (see the histogram in Q16), what might be an appropriate measure of central tendency?

A sports psychologist was interested in the effects of a six-week imagery intervention on an athlete's ability to execute a sport-specific skills such penalty taking in football/soccer. How might you define the imagery variable?

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing Two Means

Moderation,mediation and More Regression

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters