Question 1

What is an outlier?

Accepted Answer

A)  A set of data outside the data file 
B)  A single score that is very different form the others 
C)  A score derived from a participant who has lied 
D)  A variable that cannot be quantified 
A)  A set of data outside the data file 
B)  A single score that is very different form the others 
C)  A score derived from a participant who has lied 
D)  A variable that cannot be quantified B

Question 2

What is a major constraint about non-parametric tests?

Accepted Answer

A)  They only compare a limited range of situations. 
B)  They compare a wide range of experimental conditions and not simple situations. 
C)  They allow for multiple statistical tests to be undertaken. 
D)  They do not allow for multiple statistical tests to be undertaken. 
A)  They only compare a limited range of situations. 
B)  They compare a wide range of experimental conditions and not simple situations. 
C)  They allow for multiple statistical tests to be undertaken. 
D)  They do not allow for multiple statistical tests to be undertaken. A

Question 3

What does Levene's test look for?

Accepted Answer

A)  Verification of heterogeneity of variance 
B)  Verification of homogeneity of variance 
C)  Verification of significance 
D)  None of the above 
A)  Verification of heterogeneity of variance 
B)  Verification of homogeneity of variance 
C)  Verification of significance 
D)  None of the above B

Question 4

Which of the following is not a property of a variance ratio?

Accepted Answer

A)  It can be used to demonstrate homogeneity of variances. 
B)  It is one variance divided by another. 
C)  It is one variance multiplied by another. 
D)  It can show the effect of a treatment on several groups. 
A)  It can be used to demonstrate homogeneity of variances. 
B)  It is one variance divided by another. 
C)  It is one variance multiplied by another. 
D)  It can show the effect of a treatment on several groups.

Question 5

The Kolmogorov-Smirnov test can be used to test

Accepted Answer

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

Question 6

If a Kolmogorov-Smirnov test is conducted and the result is significant, what does this mean for the data sample?

Accepted Answer

A)  The data sample is normally distributed. 
B)  The comparison used in the test is not valid. 
C)  The data sample is not normally distributed. 
D)  The test is wrong. 
A)  The data sample is normally distributed. 
B)  The comparison used in the test is not valid. 
C)  The data sample is not normally distributed. 
D)  The test is wrong.

Question 7

What do you deduce about this distribution?

Accepted Answer

A)  The incidence of snoring is greatest among females during middle to old age. 
B)  Snoring is equally distributed between women and men. 
C)  The incidence of snoring is greatest in early childhood and again during middle age. 
D)  None of the above. 
A)  The incidence of snoring is greatest among females during middle to old age. 
B)  Snoring is equally distributed between women and men. 
C)  The incidence of snoring is greatest in early childhood and again during middle age. 
D)  None of the above.

Question 8

What information can you deduce from this histogram?

Accepted Answer

A)  More women than men are diagnosed with Parkinson's disease. 
B)  The highest incidence of females diagnosed with Parkinson's disease ranges between 75 and 79 years. 
C)  The highest incidence of females diagnosed with Parkinson's disease ranges between 80 and 84 years. 
D)  The highest incidence of females diagnosed with Parkinson's disease ranges between 75 and 84 years. 
A)  More women than men are diagnosed with Parkinson's disease. 
B)  The highest incidence of females diagnosed with Parkinson's disease ranges between 75 and 79 years. 
C)  The highest incidence of females diagnosed with Parkinson's disease ranges between 80 and 84 years. 
D)  The highest incidence of females diagnosed with Parkinson's disease ranges between 75 and 84 years.

Question 9

Which of the following tests whether variances are homogeneous?

Accepted Answer

A)  Levene's test 
B)  Bartlett's test 
C)  Neither 
D)  Both 
A)  Levene's test 
B)  Bartlett's test 
C)  Neither 
D)  Both

Question 10

Which of the following is not a transformation technique in SPSS?

Accepted Answer

A)  Square-root transformation 
B)  Reciprocal transformation 
C)  Log transformation 
D)  Unequal transformation 
A)  Square-root transformation 
B)  Reciprocal transformation 
C)  Log transformation 
D)  Unequal transformation

Question 11

What kind of distribution is the graph below best described as?

Accepted Answer

A)  Positive skew 
B)  Normal distribution 
C)  Negative skew 
D)  Bimodal distribution 
A)  Positive skew 
B)  Normal distribution 
C)  Negative skew 
D)  Bimodal distribution

Question 12

Why are z-scores used to check for outliers?

Accepted Answer

A)  They standardize scores for a known mean and standard deviation, allowing comparison. * 
B)  They allow you to allocate letters for missing values. 
C)  A z-score is an outlier. 
D)  They standardize scores in order to convert them to values closer to the mean. 
A)  They standardize scores for a known mean and standard deviation, allowing comparison. * 
B)  They allow you to allocate letters for missing values. 
C)  A z-score is an outlier. 
D)  They standardize scores in order to convert them to values closer to the mean.

Question 13

Which of the following is least affected by outliers?

Accepted Answer

A)  The range 
B)  The mean 
C)  The median 
D)  The standard deviation 
A)  The range 
B)  The mean 
C)  The median 
D)  The standard deviation

Question 14

I collected some data about how much buyers of my book liked it (on a scale of 1 = it's utter rubbish to 10 = I never read anything else). I ended up with a sample of 15,467 people. When I looked at the distribution, I found a skew of 1.23 (SE = 0.65). The mean rating was 4.78. Which of the following would be the best way to decide whether the skew is problematic?

Accepted Answer

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

Question 15

Which of the following are assumptions underlying the use of parametric tests (based on the normal distribution)?

Accepted Answer

A)  The data should be normally distributed. 
B)  The samples being tested should have approximately equal variances. 
C)  The data should be at least interval level. 
D)  All of the above. 
A)  The data should be normally distributed. 
B)  The samples being tested should have approximately equal variances. 
C)  The data should be at least interval level. 
D)  All of the above.

Question 16

Which of the following is not an assumption of a parametric test?

Accepted Answer

A)  Normally distributed data 
B)  Homogeneity of variance 
C)  Dependence 
D)  Independence 
A)  Normally distributed data 
B)  Homogeneity of variance 
C)  Dependence 
D)  Independence

Question 17

In the following histogram, what does its shape suggest?

Accepted Answer

A)  Positive skew 
B)  Negative skew 
C)  Normal distribution 
D)  None of the above 
A)  Positive skew 
B)  Negative skew 
C)  Normal distribution 
D)  None of the above

Question 18

Which of the following is not a transformation that can be used to correct skewed data?

Accepted Answer

A)  Log transformation 
B)  Tangent transformation 
C)  Square-root transformation 
D)  Reciprocal transformation 
A)  Log transformation 
B)  Tangent transformation 
C)  Square-root transformation 
D)  Reciprocal transformation

Question 19

What statistical test might you use in order to establish whether a distribution is normal and significant?

Accepted Answer

A)  Spearman's test 
B)  Kolmogorov-Smirnov test 
C)  t-test 
D)  None of the above 
A)  Spearman's test 
B)  Kolmogorov-Smirnov test 
C)  t-test 
D)  None of the above

Question 20

What would be the expected effect of transformation to the data gathered in this histogram?

Accepted Answer

A)  The skew will remain the same but significance will be greater. 
B)  The skew will have increased. 
C)  The skew will have been reduced. 
D) None of the above. 
A)  The skew will remain the same but significance will be greater. 
B)  The skew will have increased. 
C)  The skew will have been reduced. 
D) None of the above.

What is an outlier?

What is a major constraint about non-parametric tests?

What does Levene's test look for?

Which of the following is not a property of a variance ratio?

The Kolmogorov-Smirnov test can be used to test

If a Kolmogorov-Smirnov test is conducted and the result is significant, what does this mean for the data sample?

What do you deduce about this distribution?

What information can you deduce from this histogram?

Which of the following tests whether variances are homogeneous?

Which of the following is not a transformation technique in SPSS?

What kind of distribution is the graph below best described as?

Why are z-scores used to check for outliers?

Which of the following is least affected by outliers?

Which of the following are assumptions underlying the use of parametric tests (based on the normal distribution)?

Which of the following is not an assumption of a parametric test?

In the following histogram, what does its shape suggest?

Which of the following is not a transformation that can be used to correct skewed data?

What statistical test might you use in order to establish whether a distribution is normal and significant?

What would be the expected effect of transformation to the data gathered in this histogram?

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

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

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

What is an outlier?

What is a major constraint about non-parametric tests?

What does Levene's test look for?

Which of the following is not a property of a variance ratio?

The Kolmogorov-Smirnov test can be used to test

If a Kolmogorov-Smirnov test is conducted and the result is significant, what does this mean for the data sample?

What do you deduce about this distribution?

What information can you deduce from this histogram?

Which of the following tests whether variances are homogeneous?

Which of the following is not a transformation technique in SPSS?

What kind of distribution is the graph below best described as?

Why are z-scores used to check for outliers?

Which of the following is least affected by outliers?

Which of the following are assumptions underlying the use of parametric tests (based on the normal distribution)?

Which of the following is not an assumption of a parametric test?

In the following histogram, what does its shape suggest?

Which of the following is not a transformation that can be used to correct skewed data?

What statistical test might you use in order to establish whether a distribution is normal and significant?

What would be the expected effect of transformation to the data gathered in this histogram?

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

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

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