Question 1

A 95% confidence interval for the difference between two population means is found to be (−0.08, 0.15). Which of the following statements is true?

Accepted Answer

A) We can be 95% confident that the true difference between the population means falls between −0.08 and 0.15. 
B) The probability is 0.95 that a significant difference between the population means lies between −0.08 and 0.15. 
C) The probability is 0.05 that the true difference between the population means is between −0.08 and 0.15 
D) The two populations cannot have the same means. 
A) We can be 95% confident that the true difference between the population means falls between −0.08 and 0.15. 
B) The probability is 0.95 that a significant difference between the population means lies between −0.08 and 0.15. 
C) The probability is 0.05 that the true difference between the population means is between −0.08 and 0.15 
D) The two populations cannot have the same means.

Question 2

Assume a researcher found that the correlation between a test she had developed and exam performance was .5 in a study of 25 students. She had previously been informed that correlations under .30 are considered unacceptable. The 95% confidence interval was [0.131, 0.747]. Can you be confident that the true correlation is at least 0.30?

Accepted Answer

A) Yes you can, because the correlation coefficient is .5 (which is above .30) and falls within the boundaries of the confidence interval. 
B) No you cannot, because the lower boundary of the confidence interval is .131, which is less than .30, and so the true correlation could be less than .30. 
C) Yes you can, because the upper boundary of the confidence interval is above .30 we can be 95% confident that the true correlation will be above .30 
D) No you cannot, because the sample size was too small. 
A) Yes you can, because the correlation coefficient is .5 (which is above .30) and falls within the boundaries of the confidence interval. 
B) No you cannot, because the lower boundary of the confidence interval is .131, which is less than .30, and so the true correlation could be less than .30. 
C) Yes you can, because the upper boundary of the confidence interval is above .30 we can be 95% confident that the true correlation will be above .30 
D) No you cannot, because the sample size was too small.

Question 3

If we calculated an effect size and found it was r = .21 which expression would best describe the size of effect?

Accepted Answer

A) large 
B) small 
C) small to medium 
D) medium to large 
A) large 
B) small 
C) small to medium 
D) medium to large

Question 4

Of what is the standard error a measure?

Accepted Answer

A) The variability of scores in the population. 
B) The 'flatness' of the distribution of sample scores. 
C) The variability of sample estimates of a parameter. 
D) The variability in scores in the sample. 
A) The variability of scores in the population. 
B) The 'flatness' of the distribution of sample scores. 
C) The variability of sample estimates of a parameter. 
D) The variability in scores in the sample.

Question 5

There are basically two types of statistics - descriptive and inferential. Which of the following sentences are true about descriptive statistics?

Accepted Answer

A) All of the above. 
B) Descriptive statistics describe the data. 
C) Descriptive statistics enable you to make decisions about your data, for example, is one group mean significantly different from the population mean? 
D) Descriptive statistics enable you to draw inferences about your data, for example does one variable predict another variable? 
A) All of the above. 
B) Descriptive statistics describe the data. 
C) Descriptive statistics enable you to make decisions about your data, for example, is one group mean significantly different from the population mean? 
D) Descriptive statistics enable you to draw inferences about your data, for example does one variable predict another variable?

Question 6

Which of the following statements is true?

Accepted Answer

A) The standard deviation is calculated only from sample attributes. 
B) The standard error is a measure of central tendency. 
C) All of the above. 
D) The standard error is calculated solely from sample attributes. 
A) The standard deviation is calculated only from sample attributes. 
B) The standard error is a measure of central tendency. 
C) All of the above. 
D) The standard error is calculated solely from sample attributes.

Question 7

Children can learn a second language faster before the age of 7'. Is this statement:

Accepted Answer

A) A one-tailed hypothesis 
B) A non-scientific statement 
C) A two-tailed hypothesis 
D) A null hypothesis 
A) A one-tailed hypothesis 
B) A non-scientific statement 
C) A two-tailed hypothesis 
D) A null hypothesis

Question 8

Of what is p the probability?

Accepted Answer

A) p is the probability of observing a test statistic at least as big as the one we have if there were no effect in the population (i.e., the null hypothesis were true). 
B) p is the probability that the results are due to chance, the probability that the null hypothesis (H0) is true. 
C) p is the probability that the results are not due to chance, the probability that the null hypothesis (H0) is false. 
D) p is the probability that the results would be replicated if the experiment was conducted a second time. 
A) p is the probability of observing a test statistic at least as big as the one we have if there were no effect in the population (i.e., the null hypothesis were true). 
B) p is the probability that the results are due to chance, the probability that the null hypothesis (H0) is true. 
C) p is the probability that the results are not due to chance, the probability that the null hypothesis (H0) is false. 
D) p is the probability that the results would be replicated if the experiment was conducted a second time.

Question 9

A Type I error occurs when:

Accepted Answer

A) The data we have typed into SPSS is different from the data collected. 
B) We conclude that there is an effect in the population when in fact there is not. 
C) We conclude that there is not an effect in the population when in fact there is. 
D) We conclude that the test statistic is significant when in fact it is not. 
A) The data we have typed into SPSS is different from the data collected. 
B) We conclude that there is an effect in the population when in fact there is not. 
C) We conclude that there is not an effect in the population when in fact there is. 
D) We conclude that the test statistic is significant when in fact it is not.

A 95% confidence interval for the difference between two population means is found to be (−0.08, 0.15). Which of the following statements is true?

If we calculated an effect size and found it was r = .21 which expression would best describe the size of effect?

Of what is the standard error a measure?

There are basically two types of statistics - descriptive and inferential. Which of the following sentences are true about descriptive statistics?

Which of the following statements is true?

Children can learn a second language faster before the age of 7'. Is this statement:

Of what is p the probability?

A Type I error occurs when:

Why Is My Evil Lecturer Forcing Me to Learn 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

Exam 2: The Spine of Statistics

A 95% confidence interval for the difference between two population means is found to be (−0.08, 0.15). Which of the following statements is true?

If we calculated an effect size and found it was r = .21 which expression would best describe the size of effect?

Of what is the standard error a measure?

There are basically two types of statistics - descriptive and inferential. Which of the following sentences are true about descriptive statistics?

Which of the following statements is true?

Children can learn a second language faster before the age of 7'. Is this statement:

Of what is p the probability?

A Type I error occurs when:

Why Is My Evil Lecturer Forcing Me to Learn 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