Los Angeles Harbor College » Statistics » Statistics 001 - Elementary Statistics I for the Social Sciences » Spring 2020

Statistics 001 - Elementary Statistics I for the Social Sciences » Spring 2020 » Exam 3

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Question #1

A chi-square test of significance is essentially concerned with:

A. the distinction between two interval level variables

B. only observed frequences

C. the distinction between one ordinal and one interval level variable

D. the distinction between expected and observed frequencies

Question #2

Expected frequences represent:

A. The frequences one would expect if the null hypothesis was true

B. the frequences one would expect if the research 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 #3

If a chi-square expected frequency is less than 10, one should:

A. accept the null hypothesis

B. square all values

C. reject the null hypothesis

D. use Yates’ adjusted formula

Question #4

You take a sample and want to compare the results to the population from which it was drawn. The independent variable is “race” and the dependent variable is a yes/no response to whether they favor the death penalty. What test would you use to see if your results were significant?

A. Pearson’s r

B. a parametric test

C. a chi-square test

D. a difference between means test

Question #5

Nonparametric test are:

A. less powerful than parametric tests

B. only applicble to interval level data

C. more “robust” than parametric tests

D. not applicable for nominal data

Question #6

The media test determines:

A. the likelihood the mean and the median and the moe will all have the same value

B. the likelihood that the median will be the most frequent score

C. the likelihood that the mean will be greater than the media

D. the likelihood that the samples were drawn from populations with equal medians

Question #7

Which of the following exemplifies a research hypothesis?

A. Juveniles do ot differ from adults in criminal offense behaviors

B. Gang members differ from non-gang members in perceptions of violence

C. Senior citizens driving behaviors do not differ from those of teenagers

D. Catholics and protestants pray the same amount

Question #8

When we accept the nuall hypothesis, we:

A. conclude that the sampling error is responsible for our obtained difference

B. Have committed a Type 2 error

C. Claim that a significant difference exists between groups

D. Have an obtained (calculated) t value greater than our critical (table) value

Question #9

If we reject the null hypothesis when in reality the null hypothesis is true, we have:

A. Made a Type 2 error

B. Made a Type 1 error

C. Made the correct decision

D. None of the above

Question #10

Compared to the .05 level of significance, .01 level of significance :

A. Means a normal distribution

B. Means a lower probability of the obtained difference being a result of sampling error

C. Means a skewed distribution

D. Means a higher probability of the obtained difference being a result of sampling error

Question #11

The standard error of the difference between means

A. does not include the sample sizes

B. is an estimate of the standard deviation in a sampling distribution of difference

C. requires only one samples characteristics

D. cannot be properly estimated

Question #12

The larger the value of our obtained (calculated) t:

A. The less probable that our results are due to chance alone

B. The larger our critical (table) t value

C. The larger the probability of making a Type 1 error

D. The more probable that our results are due to chance alone

Question #13

Which of the following is true of a before – and – after “repeated measures” t-test?

A. Two scores exist for each respondent

B. The null hypothesis states that the two groups are not equal

C. The degrees of freedome is based on the total number of scores.

D. None of the above is true.

Question #14

A .05 level of significance corresonds with:

A. a 95% confidence interval

B. a probability of the findings being the result of sampling error

C. a z-score critical valu of 1.96

D. all of the above.

Question #15

The variation found among raw scores in a particular group is referred to as:

A. Within group variation

B. Between group variation

C. Total variation

D. None of the above

Question #16

The sum of squares is the method for measuring variation:

A. Between groups

B. All of the abve

C. Within groups

D. For the total sample

Question #17

The mean square is

A. Calculated by dividing the sum of squares within by the degrees of freedom within

B. Calculated by dividing the sum of squares between by the degrees of freedom between

C. Is a method for assessing variation in conjunction with the sum of squares

D. All of the above.

Question #18

The F ratio is calculated by:

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 #19

The larger the value of the calculated F ratio:

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 #20

Which is NOT true of an Analysis of Variance (ANOVA)

A. All variances are assumed to be equal

B. All data must be interval level data

C. All samples must be selected randomly

D. All of the above are true

Question #21

As the observed frequence deviate from the expected frequencies, the value of the chi square statistic:

A. Gets larger

B. Impossible to say

C. Does not change

D. Gets smaller

Question #22

A sample of 30 parents (group 1) and a sample of 35 non-parents (Group 2) were surveyed concerning their opinions on contraception-based sex education in public schools. 63% of parents and 84% of nom-parents approve of teaching contraception-based sex education in public schools. Which of the following is a research hypothesis for this research scenario?

A. There is a diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents

B. There is no diference in opinions on teaching contraception-based sex educaiton in public schools between parent and non-parents, in the population

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 #23

A sample of 30 parents (group 1) and a sample of 35 non-parents (group 2) were surveyed concerning their opinions on contraception-based sex education in public schools. 63% of parents and 84% of non-parents approve of teaching contraception-based education in publich schools. Which set of formulas should you use to test for the difference groups?

A. ANOVA

B. Two sample test of proportions (AKA Difference between proportions)

C. Chi-square

D. Before/after testing (same sample measured twice)

E. Testing the difference between means for independent samples

Question #24

A sample of 30 parents (group 1) and a sample of 35 non parents (group 2) were surveyed concerning their opinions on contraception-based sex education in public schools. 63% of parents and 84% of non-parents approve of teaching contraception – based sex education in public schools. Now, using the set of formulas you selected previously, test for the significant differene between proportions of parents and non-parents that approve of contraception-based sex education in public schools. While completing your calculations, round to two decimal places (i.e. foreach step, round to two decimal places). What is your calculated (i.e. obtained) value?

A. -0.88

B. 2.1

C. -2.1

D. 0.88

Question #25

A sample of 30 parents (group 1) and a sample of 35 non-parents (group 2) were surveyed concerning their opinions on contraception-based sex education in public schools. 63% of parents and 84% of non-parents approve of teaching contraception-based sex education in public schools. What ist he critical value (C.V) that you need to compare your calculated/obtained value against?

A. 2

B. 2.58

C. 1.98

D. 1.96

Question #26

A sample of 30 parents (group 1) and a sample of 35 non-parents (group 2) were surveyed concerning teir opinions on contraception-based sex education in public schools. 63% of parents and 84% of non-parents approve of teaching contraception-based sex education in public schools. Based on your previous calculations, do you reject or retain the null hypothesis?

A. reject

B. retain.

Question #27

A. No, it is NOT s.s.

B. Yes, it is s.s.

Question #28

A. Parents and non-parents in the sample groups, do not differe in their views on contraception-based sex education.

B. No reasonable interpreatations can be drawn from this dataset since it is based on sample data

C. Parents and non-parents in the population, differ in their views on contraception-based sex education

D. Parents and non-parents in the population, do not differ in their views on contraception-based sex education

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