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