Navigation » List of Schools » Los Angeles Harbor College » Statistics » Statistics 001 – Elementary Statistics I for the Social Sciences » Spring 2020 » Exam 3
Below are the questions for the exam with the choices of answers:
Question #1
A Parents and non-parents in the population, differ in their views on contraception-based sex education
B Parents and non-parents in the sample groups, do not differe in their views on contraception-based sex education.
C No reasonable interpreatations can be drawn from this dataset since it is based on sample data
D Parents and non-parents in the population, do not differ in their views on contraception-based sex education
Question #2
A Yes, it is s.s.
B No, it is NOT s.s.
Question #3
A reject
B retain.
Question #4
A 1.98
B 2
C 1.96
D 2.58
Question #5
A -2.1
B 0.88
C -0.88
D 2.1
Question #6
A Chi-square
B Testing the difference between means for independent samples
C ANOVA
D Before/after testing (same sample measured twice)
E Two sample test of proportions (AKA Difference between proportions)
Question #7
A There is no diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents, in the population
B There is a diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents
C There is a diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents
D There is no diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents
Question #8
A Does not change
B Gets larger
C Gets smaller
D Impossible to say
Question #9
A All data must be interval level data
B All variances are assumed to be equal
C All samples must be selected randomly
D All of the above are true
Question #10
A The larger the mean square within groups compared to the mean square between groups.
B The more likely an oberved difference is due to chance
C The larger the sum of squares within groups compared to the sum of squares between groups
D The less likely an observed difference is due to chance
Question #11
A Dividing the mean square within by the mean square between
B Dividing the mean square between by the mean square within
C Dividing the degrees of freedom within by degrees of freedom between
D None of the above
Question #12
A Calculated by dividing the sum of squares within by the degrees of freedom within
B Is a method for assessing variation in conjunction with the sum of squares
C Calculated by dividing the sum of squares between by the degrees of freedom between
D All of the above.
Question #13
A Within groups
B Between groups
C All of the abve
D For the total sample
Question #14
A Total variation
B Within group variation
C Between group variation
D None of the above
Question #15
A a probability of the findings being the result of sampling error
B a 95% confidence interval
C a z-score critical valu of 1.96
D all of the above.
Question #16
A The null hypothesis states that the two groups are not equal
B Two scores exist for each respondent
C The degrees of freedome is based on the total number of scores.
D None of the above is true.
Question #17
A The larger our critical (table) t value
B The less probable that our results are due to chance alone
C The more probable that our results are due to chance alone
D The larger the probability of making a Type 1 error
Question #18
A does not include the sample sizes
B is an estimate of the standard deviation in a sampling distribution of difference
C cannot be properly estimated
D requires only one samples characteristics
Question #19
A Means a lower probability of the obtained difference being a result of sampling error
B Means a skewed distribution
C Means a normal distribution
D Means a higher probability of the obtained difference being a result of sampling error
Question #20
A Made a Type 1 error
B Made a Type 2 error
C Made the correct decision
D None of the above
Question #21
A Have committed a Type 2 error
B Have an obtained (calculated) t value greater than our critical (table) value
C conclude that the sampling error is responsible for our obtained difference
D Claim that a significant difference exists between groups
Question #22
A Juveniles do ot differ from adults in criminal offense behaviors
B Senior citizens driving behaviors do not differ from those of teenagers
C Gang members differ from non-gang members in perceptions of violence
D Catholics and protestants pray the same amount
Question #23
A the likelihood that the mean will be greater than the media
B the likelihood that the samples were drawn from populations with equal medians
C the likelihood the mean and the median and the moe will all have the same value
D the likelihood that the median will be the most frequent score
Question #24
A not applicable for nominal data
B less powerful than parametric tests
C only applicble to interval level data
D more “robust” than parametric tests
Question #25
A a difference between means test
B Pearson’s r
C a chi-square test
D a parametric test
Question #26
A accept the null hypothesis
B use Yates’ adjusted formula
C reject the null hypothesis
D square all values
Question #27
A the frequences one would expect if the research hypothesis was true
B The frequences one would expect if the null hypothesis was true
C the frequences one would expect if the sample was normally distributed
D The frequences one would expect if the sample was truly representative of the population
Question #28
A the distinction between one ordinal and one interval level variable
B the distinction between two interval level variables
C the distinction between expected and observed frequencies
D only observed frequences