Exam 2 Flashcards
Which statement is NOT true regarding the slope of a regression equation?
A) The slope quantifies the steepness of the line
B) If the slope is negative, Y tends to decrease as X tends to decrease
C) If the slope is positive, Y tends to increase as X tends to increase
D) None of the above, all are true
B) If the slope is negative, Y tends to decrease as X tends to decrease
The scale of the correlation coefficient is: A) Nominal B) Interval C) Ordinal D) Ratio
C) Ordinal
A fellow researcher tells you that she got a p calculated of .04 from an inferential test she conducted. She asks you if her results are statistically significant. The most informed response would be:
A) Yes, because the probability of obtaining your sample statistic was less than .05
B) Yes, because your alpha level was greater than your obtained p calculated
C) No, because the probability of obtaining your sample statistic was greater than .05
D) No, because your alpha level was greater than your obtained p calculated
E) It depends, what did you set your probability of Type I error to be?
E) It depends, what did you set your probability of Type I error to be?
Statistical significance testing (null hypothesis tests) depends on the assumption that:
A) You have a large sample size
B) The null hypothesis is true in the population
C) You have a low risk if Type I error
D) The alternative hypothesis cannot be proven true
E) None of the above
B) The null hypothesis is true in the population
A statistically significant result means that, given the assumptions of the test, you have a(n): A) Replicable result B) Important result C) Unlikely result D) Unimportant result
C) Unlikely result
In the process of testing a null hypothesis, which of the following should precede the others.
A) Computing the test statistic
B) Deciding whether to reject Ho
C) Determining your conclusion regarding group differences
D) Establishing the criterion for rejecting
D) Establishing the criterion for rejecting
Which of the following is not true about Pearson r and Spearman rho?
A) r ranges from -1 to +1
B) When Spearman rho = 1.00, then Pearson r will always be 1.00
C) When Pearson r = 1.00, then Spearman rho will always be 1.00
D) r and rho cannot be compared without more information
B) When Spearman rho = 1.00, then Pearson r will always be 1.00
Which alpha level below corresponds to the most risk of Type I error? A) alpha = .10 B) alpha = .05 C) alpha = .01 D) alpha = .001
A) alpha = .10
Which of the following is an example of an alternative hypothesis?
A) Exercising 30 minutes a day for 2 weeks does not decrease heart rate by 10%
B) Taking 500mg of ibuprofen within 20 minutes of onset will decrease headache pain
C) Studying more than 5 hours for a statistics final does not impact your grade
D) There is no difference between the mean self-esteem scores of mean and women athletes at UNT
B) Taking 500mg of ibuprofen within 20 minutes of onset will decrease headache pain
The primary goal of inferential statistics is to:
A) Describe characteristics of samples based on population parameters
B) Suggest characteristics of populations based on sample statistics
C) Find exact values for population parameters with our sample statistics]
D) Find exact values for sample statistics given estimated population parameters
E) Drive graduate students “batty”
B) Suggest characteristics of populations based on sample statistics
Standard error is the standard deviation of a sampling distribution. The larger the standard error, the greater risk of \_\_\_\_\_\_\_\_\_\_\_\_\_ error. A) Sampling B) Type I C) Type II D) Type III E) None of the above
C) Type II
Given r = .8 and a p calculated of .6, when we test the null hypothesis that r = 0, we can say that:
A) There is an 80% probability of obtaining at least r = .8 from any random sample, if the r should have been 0
B) There is a 60% probability of obtaining at least r = .8 from any random sample, if the r should have been 0
C) There is a 60% probability of not obtaining at least r = .8 from any random sample, if the r should have been 0
D) There is an 80% probability of not obtaining at least r = .8 from any random sample, if the r should have been 0
B) There is a 60% probability of obtaining at least r = .8 from any random sample, if the r should have been 0
Which of the following is true regarding weak correlation coefficients?
A) They indicate a slight causation between variables
B) They are found only with Pearson r coefficients
C) They may be the result of restricted range for one of the variables
D) They are rarely found in social science research
E) They account for large amounts of dependent variable variability
C) They may be the result of restricted range for one of the variables
A Pearson r of .70 is how much stronger than a Pearson r of .00 in terms of shared variance between the two variables? A) 30% B) 40% C) 49% D) 70% E) None of the above
C) 49%
In hypothesis testing, if we found a statistically significant difference between the means of two groups, then we: Correct! A) Rejected the null B) Failed to reject the null C) Committed Type I error D) Committed Type II error E) None of the above
A) Rejected the null