a. Range
b. Standard deviation
c. Median
d. Mean
a. The standard deviation is likely smaller for girls.
b. The girls’ distribution is likely unimodal.
c. The girls’ mean score is more representative of the data.
d. The girls’ median is higher than the boys’ median.
Use the following scenario for Q. 6 and Q. 7:
Anton collected survey data regarding teachers’ use of technology in their teaching activities. He was pleased that his data are generally normally distributed. Among other data, he collected age, number of years teaching, highest degree held, amount of time spent in online office hours weekly, and whether the teacher reported using an electronic discussion board.
a. Mode
b. Range
c. Mean
d. Median
a. Mode
b. Range
c. Mean
d. Median
a. Nonindependent ttest
b. Independent ttest
c. MANOVA
d. ANCOVA
a. Chi Square
b. ttest
c. ANOVA
d. Multiple Regression
Group 
n 
Mean 
S.D. 
SIT 
14 
11.07 
3.95 
PE 
10 
15.40 
11.12 
SC 
11 
18.09 
7.13 
WL 
10 
19.50 
7.11 
Source 
df 
SS 
MS 
F 
Treatment 
3 
507.840 
169.280 
3.04* 
Error 
41 
2279.067 
55.587 

Total 
44 
2786.907 


* p < .05 




WL versus SIT 
WL versus PE 
WL versus SC 
t = 2.73 
t = 1.23 
t = 0.433 
The critical value of the Bonferroni test is 2.50.
a. Which is the most serious social problem in the U.S. today, anomie or oversocialization?
b. Do you think there is a good market for the product and that it will sell well?
c. Don’t you think that in these days of escalating costs of living, employees should be given good pay raises?
d. A set of response categories to the question “What is your current age?” is:
i. 15
ii. 510
iii. 1020
iv. 2030
v. 3040
_________ Compute the sample statistic
_________ Establish the null hypothesis
_________ Collect data
_________ Make a decision about rejecting or failing to reject the null
_________ Set the level of significance (alpha)
_________ Determine the practical significance of the results
a. The pair of scales is not reliable and not valid.
b. The pair of scales is reliable but is not valid.
c. The pair of scales is not reliable but is valid.
d. The pair of scales is reliable and valid.
20. (8 points) What kinds of sampling designs would be used for each of the following?
a. A study to get a quick idea of the medical acceptability of a new aspirin substitute which cannot be dispensed over the counter without prescription.
b. A study involving a sample of 325 students in a university where 2,000 students are enrolled.
c. An investigation of the career salience of professionals in the fields of medicine, engineering, business, and law.
d. The generalizability of the attitudes of blue collar workers from a sample of 184, to the total population of 350 blue collar workers in the entire factory of a particular company.
“The scores varied for band members (M=3.5), choir members (M=3.9), and for student athletes (M=5.4) for attitudes toward engaging in school activities during the 35 p.m. period of time. A comparison of the groups, at an alpha of .05, showed a statistically significant difference among the three groups, F (3, 8) = 9.87, p = .031, effect size = .91 SD.”
As you examine this statement, you conclude: (place an X in the appropriate column)

NO 
YES 
The null hypothesis was rejected. 


The level of significance showed a probability of rejecting set at 5 out of 100 times. 


The statistical test used was a ttest. 


The magnitude of differences among the groups was over one standard deviation. 


Band members differed significantly from student athletes in their attitudes. 


22. (8 points) Below is a tabulation of the demographic data from the Frequency distribution of a survey done by Ms. Sandra Jones. Her sample consisted of 148 of a total of 3,700 clerical employees in three service organizations.
Part I (2 points): Based on the tabulation provided below, describe the sample characteristics.
Table 1: Frequency Distributions of Sample (n = 148)
Race 
Education 
Gender 
Nonwhites = 48 (32%) 
High School = 38 (26%) 
Males = 111(75%) 
Whites = 100 (68%) 
College Degree = 74 (50%) 
Females = 37 (25%) 

Masters Degree = 36 (24%) 

Age 
# of Years in Org. 
Marital Status 
< 20 = 10(7%) 
< 1 year = 5 (3%) 
Single 20 (14%) 
2030 = 20(14%) 
13 = 25(17%) 
Married 108 (73%) 
3140 = 30(20%) 
410 = 98(66%) 
Divorced 13 (9%) 
>40 = 88(59%) 
>10 = 20(14%) 
Alternative Lifestyle 7 (4%) 



Part II (3 points): Here is another tabulation of the Means, Standard Deviations, etc., for Ms. Jones’ data. How would you interpret these data?
Table 2: Means, Standard Deviations and Other Statistics
VARIABLE 
MEAN 
STD. DEV 
MODE 
MIN 
MAX 
Age 
37.5 
18 
38 
20 
64 
# of Years Married 
12.1 
24 
15 
0 
32 
Stress 
3.7 
1.79 
3 
1 
5 
Job Involvement 
3.9 
1.63 
4 
2 
5 
Performance 
3.6 
0.86 
3 
3 
5 
Part III (3 points): From the same research done by Ms. Jones, the following intercorrelation matrix is shown. Interpret these results.
Table 3: Pearson Correlations
Variable 
Age 
# of yrs. Married 
Stress 
Job Involvement 
Performance 
Age 
1.0 




# of yrs. married 
.86 
1.0 



Stress 
.43 
1.0 



Job Involvement 
.53 
.32 
.58 
1.0 

Performance 
.09 
.06 
.49 
.36 
1.0 
a. All correlations above .30 are significant, at least at the .05 level.
b. All correlations above .50 are significant, at least at the .01 level.
Subject  Mathematics 
Due By (Pacific Time)  04/27/2016 12:00 am 
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