Title ABC/123 Version X 1 Week 1 Practice Worksheet PSY/315 Version 6 1 University of Phoenix MaterialWeek 1 Practice Worksheet Prepare a written response to the following questions. Chapter 1 1. Explain and give an example for each of the following types of variables: a. Nominal: b. Ordinal: c. Interval: d. Ratio scale: e. Continuous: f. Discrete: g. Quantitative: h. Qualitative: 2. Following are the speeds of 40 cars clocked by radar on a particular road in a 35-mph zone on a particular afternoon: 30, 36, 42, 36, 30, 52, 36, 34, 36, 33, 30, 32, 35, 32, 37, 34, 36, 31, 35, 20 24, 46, 23, 31, 32, 45, 34, 37, 28, 40, 34, 38, 40, 52, 31, 33, 15, 27, 36, 40 Make a frequency table and a histogram, then describe the general shape of the distribution. 3. Raskauskas and Stoltz (2007) asked a group of 84 adolescents about their involvement in traditional and electronic bullying. The researchers defined electronic bullying as “…a means of bullying in which peers use electronics {such as text messages, emails, and defaming Web sites} to taunt, threaten, harass, and/or intimidate a peer” (p.565). The table below is a frequency table showing the adolescents’ reported incidence of being victims or perpetrators or traditional and electronic bullying. a. Using this table as an example, explain the idea of a frequency table to a person who has never had a course in statistics. b. Explain the general meaning of the pattern of results. Incidence of Traditional and Electronic Bullying and Victimization (N=84) Forms of Bullying N % Electronic victims 41 48.8 Text-message victim 27 32.1 Internet victim (websites, chatrooms) 13 15.5 Picture-phone victim 8 9.5 Traditional Victims 60 71.4 Physical victim 38 45.2 Teasing victim 50 59.5 Rumors victim 32 38.6 Exclusion victim 30 50 Electronic Bullies 18 21.4 Text-message bully 18 21.4 Internet bully 11 13.1 Traditional Bullies 54 64.3 Physical bully 29 34.5 Teasing bully 38 45.2 Rumor bully 22 26.2 Exclusion bully 35 41.7 4. Kärnä and colleagues (2013) tested the effects of a new antibullying program, called KiVa, among students in grades 1–3 and grades 7–9 in 147 schools in Finland. The schools were randomly assigned to receive the new antibullying program or no program. At the beginning, middle, and end of the school year, all of the students completed a number of questionnaires, which included the following two questions: “How often have you been bullied at school in the last couple of months?” and “How often have you bullied others at school in the last couple of months?” The table below is a frequency table that shows students’ responses to these two questions at the end of the school year (referred to as “Wave 3” in the title of the table). Note that the table shows the results combined for all of the students in the study. In the table, “victimization” refers to students’ reports of being bullied and “bullying” is students’ reports of bullying other students. a. Using this tab ...

1. Title
ABC/123 Version X
1
Week 1 Practice Worksheet
PSY/315 Version 6
1
University of Phoenix MaterialWeek 1 Practice Worksheet
Prepare a written response to the following questions.
Chapter 1
1. Explain and give an example for each of the following types
of variables:
a. Nominal:
b. Ordinal:
c. Interval:
d. Ratio scale:
e. Continuous:
f. Discrete:
g. Quantitative:
h. Qualitative:
2. Following are the speeds of 40 cars clocked by radar on a
particular road in a 35-mph zone on a particular afternoon:

2. 30, 36, 42, 36, 30, 52, 36, 34, 36, 33, 30, 32, 35, 32, 37, 34, 36,
31, 35, 20
24, 46, 23, 31, 32, 45, 34, 37, 28, 40, 34, 38, 40, 52, 31, 33, 15,
27, 36, 40
Make a frequency table and a histogram, then describe the
general shape of the distribution.
3. Raskauskas and Stoltz (2007) asked a group of 84 adolescents
about their involvement in traditional and electronic bullying.
The researchers defined electronic bullying as “…a means of
bullying in which peers use electronics {such as text messages,
emails, and defaming Web sites} to taunt, threaten, harass,
and/or intimidate a peer” (p.565). The table below is a
frequency table showing the adolescents’ reported incidence of
being victims or perpetrators or traditional and electronic
bullying.
a. Using this table as an example, explain the idea of a
frequency table to a person who has never had a course in
statistics.
b. Explain the general meaning of the pattern of results.
Incidence of Traditional and Electronic Bullying and
Victimization (N=84)
Forms of Bullying
N
%
Electronic victims
41
48.8
Text-message victim
27
32.1

3. Internet victim (websites, chatrooms)
13
15.5
Picture-phone victim
8
9.5
Traditional Victims
60
71.4
Physical victim
38
45.2
Teasing victim
50
59.5
Rumors victim
32
38.6
Exclusion victim
30
50
Electronic Bullies
18
21.4
Text-message bully
18
21.4
Internet bully

4. 11
13.1
Traditional Bullies
54
64.3
Physical bully
29
34.5
Teasing bully
38
45.2
Rumor bully
22
26.2
Exclusion bully
35
41.7
4. Kärnä and colleagues (2013) tested the effects of a new
antibullying program, called KiVa, among students in grades 1–
3 and grades 7–9 in 147 schools in Finland. The schools were
randomly assigned to receive the new antibullying program or
no program. At the beginning, middle, and end of the school
year, all of the students completed a number of questionnaires,
which included the following two questions: “How often have
you been bullied at school in the last couple of months?” and
“How often have you bullied others at school in the last couple
of months?” The table below is a frequency table that shows
students’ responses to these two questions at the end of the
school year (referred to as “Wave 3” in the title of the table).
Note that the table shows the results combined for all of the
students in the study. In the table, “victimization” refers to
students’ reports of being bullied and “bullying” is students’

5. reports of bullying other students.
a. Using this table as an example, explain the idea of a
frequency table to a person who has never had a course in
statistics.
b. Explain the general meaning of the pattern of results. (You
may be interested to know that the KiVa program successfully
reduced victimization and bullying among students in grades 1–
3 but the results were mixed with regards to the effectiveness of
the program among those in grades 7–9.).
Frequencies of Responses in the Five Categories of the Self-
Reported Bullying and Victimization Variables at Wave 3
Grades 1-3
Grades 7-9
Victimization
Bullying
Victimization
Bullying
Variable
Freq.
%
Freq.
%
Freq.

6. %
Freq.
%
Occurrence
Not at all
3,203
53.6
4,296
72
10,660
77.4
10,880
79.5
Only once or twice
1,745
29.2
1,333
22.3

7. 2,031
14.7
1,987
14.5
2 or 3 times a month
446
7.5
197
3.3
402
2.9
344
2.5
About once a week
297
5
90
1.5
312
2.3
196
1.4
Several times a week
281
4.7

8. 49
0.8
375
2.7
279
2
Participants
Respondents n
5,972
100
5,965
100
13,780
100
13,686
100
Missing n

9. 955
962
2,723
2,817
Total N
6,927
6,927
16,503
16,503

10. Copyright © XXXX by University of Phoenix. All rights
reserved.
Copyright ©2013 by Pearson Education, Inc. All rights
reserved. Used with permission.
Model1Model 1: Single Channel, Poisson Arrival, Exponential
Service TimeArrival ratel =3Service ratem =4Interarrival
Time1/l =0.3333Service time1/m =0.2500System Utilizationr
=0.7500Probability system is emptyP0 =0.2500Average number
in lineLq =2.2500Average number in systemLs =3.0000Average
time in lineWq =0.7500Average time in systemWs =1.0000n
=2P(2 units in system) =0.1406P(n < 2 units in system)
=0.4375nP(n)P(n <
n)00.250010.18750.250020.14060.437530.10550.578140.07910.
683650.05930.762760.04450.822070.03340.866580.02500.8999
90.01880.9249100.01410.9437110.01060.9578120.00790.96831
30.00590.9762140.00450.9822150.00330.9866160.00250.99001
70.00190.9925180.00140.9944190.00110.9958200.00080.99682
10.00060.9976220.00040.9982230.00030.9987240.00030.99902
50.00020.9992260.00010.9994270.00010.9996280.00010.99972
90.00010.9998300.00000.9998310.00000.9999320.00000.99993
30.00000.9999340.00000.9999350.00001.0000360.00001.00003
70.00001.0000380.00001.0000390.00001.0000400.00001.00004
10.00001.0000420.00001.0000430.00001.0000440.00001.00004
50.00001.0000460.00001.0000470.00001.0000480.00001.00004
90.00001.0000500.00001.0000510.00001.0000520.00001.00005
30.00001.0000
Model 2Model 2: Single Channel, Poisson Arrival, Constant
Service TimeArrival ratel =10Service ratem =12Interarrival
Time1/l =0.1000Service time1/m =0.0833System Utilizationr
=0.8333Average number in lineLq =2.0833Average number in
systemLs =2.9167Average time in lineWq =0.2083Average time
in systemWs =0.2917nP(n)P(n <
n)00.166710.13890.166720.11570.305630.09650.421340.08040.

11. 517750.06700.598160.05580.665170.04650.720980.03880.7674
90.03230.8062100.02690.8385110.02240.8654120.01870.88781
30.01560.9065140.01300.9221150.01080.9351160.00900.94591
70.00750.9549180.00630.9624190.00520.9687200.00430.97392
10.00360.9783220.00300.9819230.00250.9849240.00210.98742
50.00170.9895260.00150.9913270.00120.9927280.00100.99392
90.00080.9949300.00070.9958310.00060.9965320.00050.99713
30.00040.9976340.00030.9980350.00030.9983360.00020.99863
70.00020.9988380.00020.9990390.00010.9992400.00010.99934
10.00010.9994420.00010.9995430.00010.9996440.00010.99974
50.00000.9997460.00000.9998470.00000.9998480.00000.99984
90.00000.9999500.00000.9999510.00000.9999520.00000.99995
30.00000.9999
Model 3Model 3: Multichannel, Poisson Arrival, Exponential
Service TimeArrival Ratel
=100.0100.0100.0100.0100.0100.0Calculations:Service Ratem
=120.0120.0120.0120.0120.0120.0Number of serversS
=2.03.04.05.06.07.0MP0MP01.00.1671.01.0005.0000.1672.00.4
122.01.8330.5950.412Average number being servedr
=0.8330.8330.8330.8330.8330.8333.00.4323.02.1810.1340.432
Average number in lineLq
=0.1750.0220.0030.0000.0000.0004.00.4344.02.2770.0250.434
Average number in systemLs
=1.0080.8560.8360.8340.8330.8335.00.4355.02.2970.0040.435
Average time in lineWq
=0.0020.0000.0000.0000.0000.0006.00.4356.02.3000.0010.435
Average time in systemWs
=0.0100.0090.0080.0080.0080.0087.00.4357.02.3010.0000.435S
ystem Utilizationrho
=0.4170.2780.2080.1670.1390.1198.00.4358.02.3010.0000.435P
(zero units in system)P0
=0.4120.4320.4340.4350.4350.4359.00.4359.02.3010.0000.435
Average waiting timeWa
=0.0070.0040.0030.0020.0020.00110.00.43510.02.3010.0000.43
5P(wait)Pw
=0.2450.0580.0110.0020.0000.00011.00.43511.02.3010.0000.43

12. 512.00.43512.02.3010.0000.435Note: The Lq value in Exhibit
7.12 may differ slightly from the Lqon this template. The value
of Lq in this template isbased on a queue formula.
&A
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