Question 1

In which of the following situations is the assumption of normality least important?

Accepted Answer

A) If you want only to estimate the parameters of your model. 
B) If you have a small sample. 
C) If you want to construct confidence intervals around the parameter estimates of your model. 
D) If you want to compute significance tests relating to the parameter estimates of your model. 
A) If you want only to estimate the parameters of your model. 
B) If you have a small sample. 
C) If you want to construct confidence intervals around the parameter estimates of your model. 
D) If you want to compute significance tests relating to the parameter estimates of your model.

Question 2

When it is not necessary to use Levene's test?

Accepted Answer

A) When you have unequal group sizes. 
B) When you have a small sample. 
C) When you are conducting a two-tailed test. 
D) When you have equal group sizes. 
A) When you have unequal group sizes. 
B) When you have a small sample. 
C) When you are conducting a two-tailed test. 
D) When you have equal group sizes.

Question 3

15,467 people rated how much they liked my textbook on a scale of 1 (it is rubbish)to 10 (I love it).The distribution of scores had a skew of 1.23 (SE = 0.65).Which of the following would be the best way to decide whether the skew is problematic? (Hint: Think about what you know about the central limit theorem.)

Accepted Answer

A) Use the Kolmogorov-Smirnov test. 
B) None of the options,because of the large sample size. 
C) See if the z-score is bigger than 1.96 or smaller than -1.96 
D) See if the skew is significant at p < .05. 
A) Use the Kolmogorov-Smirnov test. 
B) None of the options,because of the large sample size. 
C) See if the z-score is bigger than 1.96 or smaller than -1.96 
D) See if the skew is significant at p < .05.

Question 4

A _____ is a numerical characteristic of a sample and a _____ is a numerical characteristic of a population.

Accepted Answer

A) distribution,variable 
B) statistic,parameter 
C) parameter,statistic 
D) variable,distribution 
A) distribution,variable 
B) statistic,parameter 
C) parameter,statistic 
D) variable,distribution

Question 5

Which of the following is not a way to deal with bias in the observed data?

Accepted Answer

A) Watsonize the scores. 
B) Transform the data. 
C) Use bootstrapping. 
D) Trim the data. 
A) Watsonize the scores. 
B) Transform the data. 
C) Use bootstrapping. 
D) Trim the data.

Question 6

A confidence interval (and p-value)associated with a parameter (e.g.,the mean,or a b in regression)assumes:

Accepted Answer

A) The residuals are normally distributed. 
B) The sampling distribution of the parameter estimate is normal. 
C) The data are normally distributed. 
D) The data have heterogeneity of variance. 
A) The residuals are normally distributed. 
B) The sampling distribution of the parameter estimate is normal. 
C) The data are normally distributed. 
D) The data have heterogeneity of variance.

Question 7

A kurtosis value of -2.89 indicates:

Accepted Answer

A) There is a mistake in your calculation. 
B) A flat and light-tailed distribution 
C) A pointy and heavy-tailed distribution 
D) A flat and heavy-tailed distribution 
A) There is a mistake in your calculation. 
B) A flat and light-tailed distribution 
C) A pointy and heavy-tailed distribution 
D) A flat and heavy-tailed distribution

Question 8

Which of the following is not an assumption of the general linear model?

Accepted Answer

A) Linearity 
B) Normally distributed residuals 
C) Dependence 
D) Additivity 
A) Linearity 
B) Normally distributed residuals 
C) Dependence 
D) Additivity

Question 9

The Kolmogorov-Smirnov test can be used to test:

Accepted Answer

A) Whether group means differ. 
B) Whether scores are measured at the interval level. 
C) Whether scores are normally distributed. 
D) Whether group variances are equal. 
A) Whether group means differ. 
B) Whether scores are measured at the interval level. 
C) Whether scores are normally distributed. 
D) Whether group variances are equal.

Question 10

Imagine you conduct a t-test using IBM SPSS and the output reveals that Levene's test for equality of variance is significant.What should you do?

Accepted Answer

A) Interpret the figures in the row labelled 'equal variances not assumed'. 
B) Interpret the figures in the row labelled 'equal variances assumed'. 
C) Conduct a Kruskal-Wallis test instead. 
D) Collect more data. 
A) Interpret the figures in the row labelled 'equal variances not assumed'. 
B) Interpret the figures in the row labelled 'equal variances assumed'. 
C) Conduct a Kruskal-Wallis test instead. 
D) Collect more data.

Question 11

What does the graph below indicate about the normality of our data?

Accepted Answer

A) We cannot infer anything about the normality of our data from this type of graph. 
B) The P-P plot reveals that the data deviate mildly from normal. 
C) The P-P plot reveals that the data are normal. 
D) The P-P plot reveals that the data deviate substantially from normal. 
A) We cannot infer anything about the normality of our data from this type of graph. 
B) The P-P plot reveals that the data deviate mildly from normal. 
C) The P-P plot reveals that the data are normal. 
D) The P-P plot reveals that the data deviate substantially from normal.

Question 12

Looking at the table below,which of the following statements is the most accurate?

Accepted Answer

A) For the number of hours spent practising,the data are fairly positively skewed. 
B) For the number of hours spent practising,there is not an issue with kurtosis. 
C) For the level of musical skill,the data are heavily negatively skewed. 
D) For the number of hours spent practising,there is an issue with kurtosis. 
A) For the number of hours spent practising,the data are fairly positively skewed. 
B) For the number of hours spent practising,there is not an issue with kurtosis. 
C) For the level of musical skill,the data are heavily negatively skewed. 
D) For the number of hours spent practising,there is an issue with kurtosis.

In which of the following situations is the assumption of normality least important?

When it is not necessary to use Levene's test?

A _ is a numerical characteristic of a sample and a _ is a numerical characteristic of a population.

Which of the following is not a way to deal with bias in the observed data?

A confidence interval (and p-value)associated with a parameter (e.g.,the mean,or a b in regression)assumes:

A kurtosis value of -2.89 indicates:

Which of the following is not an assumption of the general linear model?

The Kolmogorov-Smirnov test can be used to test:

Imagine you conduct a t-test using IBM SPSS and the output reveals that Levene's test for equality of variance is significant.What should you do?

What does the graph below indicate about the normality of our data?

Looking at the table below,which of the following statements is the most accurate?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

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

Exam 6: The Beast of Bias

In which of the following situations is the assumption of normality least important?

When it is not necessary to use Levene's test?

A _____ is a numerical characteristic of a sample and a _____ is a numerical characteristic of a population.

Which of the following is not a way to deal with bias in the observed data?

A confidence interval (and p-value)associated with a parameter (e.g.,the mean,or a b in regression)assumes:

A kurtosis value of -2.89 indicates:

Which of the following is not an assumption of the general linear model?

The Kolmogorov-Smirnov test can be used to test:

Imagine you conduct a t-test using IBM SPSS and the output reveals that Levene's test for equality of variance is significant.What should you do?

What does the graph below indicate about the normality of our data?

Looking at the table below,which of the following statements is the most accurate?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

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

A _ is a numerical characteristic of a sample and a _ is a numerical characteristic of a population.