M6A hw
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Valdosta State University *
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3500
Subject
Statistics
Date
Feb 20, 2024
Type
docx
Pages
8
Uploaded by LieutenantLobster3965
Name: Module 6 Assignment
Instructions
Follow the instructions for Problem Set 1
and Problem Set 2
. Use SPSS to complete steps 1, 2, and 3, then use your SPSS Output and Graphs to complete step 4. Paste the required information in the spaces indicated in this document for steps 1, 2, and 3. Fill in the blanks of the template paragraph in step 4. Be sure to use your values and labels as discussed in your learning materials.
Problem Set 1
Instructions for Problem Set 1
Read the problem set information and data below, then complete steps 1, 2, and 3 using SPSS. From your data, complete step 4. A behavioral psychologist is interested in if the breed of the horse (Quarter, Thoroughbred, or Paint) is related to the number of hours the horse is ridden each week. That is, does breed of horse relate to the number of hours a week owners ride that horse? He randomly samples 30 participants at a local veterinary asking them the breed of their horse (Quarter Horse, Thoroughbred, or Paint): 10 Quarter Horses, 10 Thoroughbred Horses, and 10 Paint Horses. The researcher then asked each participant how many hours on average a week they ride that horse. TIP: You must reformat the data into an SPSS spreadsheet for SPSS to conduct the correct analysis.
Scores:
Quarter Horse
Thoroughbred
Paint Horse
18
6
10
7
8
5
6
10
6
10
4
4
2
2
7
0
5
0
0
7
7
11
0
1
15
3
9
12
1
8
Step 1: SPSS Data and Variable View
1.
Enter the data into SPSS in Data view.
2.
Complete the following five tasks in Variable view: a.
Name the variables.
b.
Set the number of decimal places to match the data.
c.
Label the variables.
d.
Enter values IF it is a categorical variable.
e.
Set the measure.
3.
Snip/export both Data View and Variable View from SPSS.
4.
Paste Data View here:
5.
Paste Variable View here:
Step 2: SPSS Output
1.
Based on the research scenario, determine whether you should run a One-Way Between-Subjects ANOVA OR a One-Way Repeated-Measures/Within-Subjects ANOVA.
2.
Run the ANOVA you determined best fits the research scenario.
a.
Include all options used in the example video.
NOTE: Depending on the version of SPSS you are using, some of the required boxes to check shown in the videos will be under different tabs than the video shows. All the options are there, but SPSS moves them around a bit, depending on your downloaded version. b.
For the EM Means option, select Display Means For: (Overall) and the Factor Name
c.
Use a two-tailed test (SPSS default) with a 0.05 alpha level.
3.
*ONLY IF NECESSARY
, include follow-up/post hoc tests. TIP: Two criteria must be met before you run post hoc tests. a.
Use a two-tailed test (SPSS default) with a 0.05 alpha level for each data set.
TIP: Make sure you have the same tables in the output that are shown in the video. If you do not, then you missed something.
4.
Snip/export the output from SPSS.
5.
Paste the output here:
Step 3: SPSS Bar Graph
1.
Based on the research scenario, determine the correct type of bar graph to run.
2.
In SPSS, create the type of bar graph you determined best fits the research scenario. 3.
Include the following settings:
a.
Y-axis starts at 0.
b.
Title both the X & Y-axis based on the scenario.
c.
Title both bars on the X-axis based on the scenario.
d.
Include error bars.
e.
Do not include a title above the graph.
4.
Snip/export the graph from SPSS.
5.
Paste the graph here:
Step 4: Results
1.
Based on the research scenario, select the correct APA write-up paragraph from the options below that
reflects the ANOVA you ran and whether your ANOVA indicates a significant effect or not.
Option 1: One-Way Between-Subjects ANOVA paragraph - Significant
A one-way between-subjects analysis of variance was completed on mean DV as a function of IV (
n
= _). A significant effect was observed, F
(
df
between, df within) = ___ , p = ___, partial eta-squared
= __. The significant F
-test was followed up with the Tukey HSD test for multiple comparisons (
SE
= ). Describe the actual comparisons themselves, including (
M
= __, SD
= __) for each condition, and the (
p
= __) for each comparison. TIP: There are three comparisons when there are 3 levels of an IV.
Option 2: One-Way Between-Subjects ANOVA paragraph - Non-Significant
A one-way between-subjects analysis of variance was completed on mean DV as a function of IV (
n
= _). No significant effect was found, F
(
df
between, df
within) = ___ , p
= ___, partial η
2
= __.
Option 3: One-Way Repeated Measures/Within-Subjects ANOVA paragraph - Significant
A one-way repeated-measures analysis of variance was completed on mean DV
as a function of IV (
n = _). A significant effect was observed, F
(
df
between, df
within) = , p = , partial eta-squared = . The significant F
-test was followed up with the Bonferroni test for multiple comparisons. Describe the actual comparisons themselves, including (
M = , SD = ) for each condition, and the (
p = _
) for each comparison.
TIP: There are three comparisons when there are 3 levels of an IV. Option 4: One-Way Repeated Measures/Within-Subjects ANOVA paragraph - Non-Significant
A one-way repeated-measures analysis of variance was completed on mean DV
as a function of IV
(
n = _). No significant effect was found, F
(
df
between, df
within) = , p = , partial η
2
= _
.
Your preview ends here
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2.
Fill in the blanks and replace any guiding information on the write-up paragraph you determined best fits the research scenario. As you complete your selected paragraph, be sure to follow these guidelines:
n and degrees of freedom (
df
between and df
within) are reported as whole numbers.
F
, partial η
2
, M
, and SD are rounded and reported to two decimal places.
p is reported to three decimal places. o
Only exception: when SPSS reads p = “.000” o
Then, you should type p < .001 NOTE: Nothing should be underlined in your write ups. The underlining in the template paragraphs represent blank places that should be filled in with information.
3.
Paste the completed APA write-up paragraph here:
Problem Set 2
Instructions for Problem Set 2
Read the problem set information and data below, then complete steps 1, 2, and 3 using SPSS. From your data, complete step 4.
A study was carried out to determine if the popularity of the cause in a propaganda film would affect the degree to which participants would remember the major issues (0 to 20) in a film.
The researcher randomly sampled 25 participants at a local movie theatre, asking each if they would like to participate in research studying the effects of a movie theater. All 25 participants agreed to watch a movie and
answer questions about the movie during three different sessions.
Immediately after seeing the film, each subject was asked to list as many issues raised by the film as they could remember (recall1). All participants were called a week later and again asked to recall as many issues raised by the film as they could (recall2). Six months later they were again called in to list issues (recall3).
(Data on next page)
ParticipantID
Recall1
Recall2
Recall3
1
16
13
12
2
8
5
6
3
11
9
7
4
10
9
8
5
8
8
7
6
15
14
13
7
15
9
8
8
10
7
8
9
14
11
11
10
11
8
7
11
14
11
11
12
12
11
10
13
12
11
10
14
11
9
8
15
16
14
11
16
17
17
15
17
13
10
11
18
17
15
15
19
14
11
12
20
13
9
9
21
14
14
13
22
15
14
13
23
18
18
16
24
16
12
14
25
10
8
8
Instructions for Problem Set 2
Step 1: SPSS Data and Variable View
1.
Enter the data into SPSS in Data view.
2.
Complete the following five tasks in Variable view: a.
Name the variables.
b.
Set the number of decimal places to match the data.
c.
Label the variables.
d.
Enter values IF it is a categorical variable.
e.
Set the measure.
3.
Snip/export both Data View and Variable View from SPSS.
4.
Paste Data View here:
5.
Paste Variable View here:
Step 2: SPSS Output
1.
Based on the research scenario, determine whether you should run a One-Way Between Subjects ANOVA OR a One-Way Repeated-Measures/Within-Subjects ANOVA.
2.
Run the ANOVA you determined best fits the research scenario.
a.
Include all options used in the example video.
NOTE: Depending on the version of SPSS you are using, some of the required boxes to check shown in the videos will be under different tabs than the video shows. All the options are there, but SPSS moves them around a bit, depending on your downloaded version. b.
For the EM Means option, select Display Means For: (Overall) and the Factor Name
c.
Use a two-tailed test (SPSS default) with a 0.05 alpha level.
3.
*ONLY IF NECESSARY
, include follow-up/post hoc tests. TIP: Two criteria must be met before you run post hoc tests. a.
Use a two-tailed test (SPSS default) with a 0.05 alpha level for each data set.
TIP: Make sure you have the same tables in the output that are shown in the video. If you do not, then you missed something.
4.
Snip/export the output from SPSS.
5.
Paste the output here:
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help
Step 3: SPSS Bar Graph
1.
Based on the research scenario, determine the correct type of bar graph to run.
2.
In SPSS, create the type of bar graph you determined best fits the research scenario. 3.
Include the following settings:
a.
Y-axis starts at 0.
b.
Title both the X & Y-axis based on the scenario.
c.
Title both bars on the X-axis based on the scenario.
d.
Include error bars.
e.
Do not include a title above the graph.
4.
Snip/export the graph from SPSS.
5.
Paste the graph here:
Step 4: Results
1.
Based on the research scenario, select the correct APA write-up paragraph from the options below that
reflects the ANOVA you ran and whether your ANOVA indicates a significant effect or not.
Option 1: One-Way Between-Subjects ANOVA paragraph - Significant
A one-way between-subjects analysis of variance was completed on mean DV as a function of IV (
n
= _). A significant effect was observed, F
(
df
between, df within) = ___ , p = ___, partial eta-squared
= __. The significant F
-test was followed up with the Tukey HSD test for multiple comparisons (
SE
= ). Describe the actual comparisons themselves, including (
M
= __, SD
= __) for each condition, and the (
p
= __) for each comparison. TIP: There are three comparisons when there are 3 levels of an IV.
Option 2: One-Way Between-Subjects ANOVA paragraph - Non-Significant
A one-way between-subjects analysis of variance was completed on mean DV as a function of IV (
n
= _). No significant effect was found, F
(
df
between, df
within) = ___ , p
= ___, partial η
2
= __.
Option 3: One-Way Repeated Measures/Within-Subjects ANOVA paragraph - Significant
A one-way repeated-measures analysis of variance was completed on mean DV
as a function of IV (
n = _). A significant effect was observed, F
(
df
between, df
within) = , p = , partial eta-squared = . The significant F
-test was followed up with the Bonferroni test for multiple comparisons. Describe the actual comparisons themselves, including (
M = , SD = ) for each condition, and the (
p = _
) for each comparison.
TIP: There are three comparisons when there are 3 levels of an IV. Option 4: One-Way Repeated Measures/Within-Subjects ANOVA paragraph - Non-Significant
A one-way repeated-measures analysis of variance was completed on mean DV
as a function of IV
(
n = _). No significant effect was found, F
(
df
between, df
within) = , p = , partial η
2
= _
.
2.
Fill in the blanks and replace any guiding information on the write-up paragraph you determined best fits the research scenario. As you complete your selected paragraph, be sure to follow these guidelines:
n and degrees of freedom (
df
between and df
within) are reported as whole numbers.
F
, partial η
2
, M
, and SD are rounded and reported to two decimal places.
p is reported to three decimal places. o
Only exception: when SPSS reads p = “.000” o
Then, you should type p < .001 NOTE: Nothing should be underlined in your write ups. The underlining in the template paragraphs represent blank places that should be filled in with information.
3.
Paste the completed APA write-up paragraph here:
Related Questions
You must complete the two "designated for crediť" problems. In order to receive consideration for fu
credit, all work must be shown. This includes computations, graphs, and explanations, when directec
do so. The credited CTPS are worth a combined total of 25 points. You will be awarded points based
accuracy and effort. Completely documenting your work increases my ability to rate your effort
CTPS for Chapter 8 are due on Monday, April 25th.
Included in this assignment are two extra credit problems. By completing the Extra Credit CTPS for
Chapter 8 you will have an opportunity to earn up to 4 extra credit points per problem. All work,
explanations, and correct answers must be provided in order for the problem to be considered fo
extra credit. Students may turn in CTPS beyond the due date. No extra credit will be awarded if the
assignment is submitted after the due date stated above.
Credited Critical Thinking Problems
1. (Section 8.1) (10 points)
In surveying, it is often necessary to…
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10-Week Training
7
6.
4
2
0 1 2 3 4 5 6 7 8 9 10
Week
© 2020 StrongMind. Created using GeoGebra.
What is the total number of miles that Vince ran per session in weeks 5, 6, 7, and 8?
Enter your answer as a whole number, like this: 42
Miles
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• Open RStudio.
• Open a new R Script.
• Copy and paste the below code in R. (to present your answer for this task, take a screenshot of
your RStudio session, and paste it into your assessment solutions document).
• Run the code, then copy and paste the outputs and the graphs into your assessment solutions
document.
• Copy and paste the code in your assignment and use comments to explain each line of the code.
Note: to get help in R, highlight the code and press F1.
Code to be copied and pasted into an R script in RStudio:
Treatment <- rep (c("Level_1", "Level_2","Level_3"), each=10)
Response <- c(11, 8, 10, 12, 8, 12, 9, 9, 4, 12,
12, 9, 12, 10, 18, 24, 17, 16, 20, 11,
14, 7, 18, 8, 12, 10, 9, 14, 12, 10)
Data Question_3<-data.frame(Treatment, Response)
View(Data_Question 3)
aggregate (Data Question_3$Response, list (Data Question_3$Treatment), mean)
aggregate (Data_Question_3$Response, list (Data Question_3$Treatment), sd)
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1) Use your equations from Lesson 1 for the Brick candle and the Egyptian candle to create a graph of twopolynomial functions so that you can compare volumes for different values of x. Compare the volumes.
( my equations, figured out in Lesson 1 below)
Brick candle equation- V= x^3-x^2
Eqyptian candle equation- V= 7x^2
2) Use the graph from Question 1 to identify where the volumes are equal. Confirm this value by writing andsolving an equation that describes the difference between the volumes of the candle types.
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The main three components of any graph are:
Select one:
a. Coordinates, Aesthetics, and Data
b. Data, Aesthetics, and Geometrics
c. Geometrics, Themes, and Data
d. Statistics, Aesthetics, and Geometrics
e. Data, Geometrics, and Coordinates
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40x= -16x2-25
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100 female golfers. The survey results are summarized here.
Excel File: data02-31.xlsx
Male Golfers
Green Condition
Gender Too Fast
Male
Handicap
Under 15
15 or more
25
25
a. Complete the crosstabulation shown below.
Green Condition
Female
Too Fast
10
Fine
Fine
40
Female Golfers
Total
Green Condition
Handicap
Under 15
15 or more
Too Fast
1
Fine
9
39 51
Total
Which group shows the highest percentage saying that the greens are too fast?
- Select your answer -
b. Refer to the initial crosstabulations. For those players with low handicaps (better players), which group (male or female) shows the highest percentage saying the greens are too fast?
For the low handicappers, the - Select your answer - have a higher percentage who…
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Draw a graph or figure to represent this situation and Describe how the concepts from this module can be applied in this case.
How many adult tickets and student tickets were sold?
Provide another example of a scenario that involves the same concept.
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Select one:
O a. Both plans cost the same after 75 months.
O b. Both plans cost the same if 5.5GBS of data is used in a month.
O c. Both plans cost the same if 75GBS of data are used in a month.
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please assist where the blank areas are on the table.
Are there differences in airfare depending on which travel agency website you utilize? The following data were collected on travel agency websites on July , . The following table contains the prices in U.S. dollars for a one-way ticket between the cities listed on the left for each of the three travel agency websites. Here the pairs of cities are the blocks and the treatments are the different websites.
data below in table:
Websites
Flight From ‒ To
Expedia ($)
TripAdvisor ($)
Priceline ($)
Atlanta to Seattle
176.00
166.00
175.80
New York to Los Angeles
195.00
195.00
206.20
Cleveland to Orlando
77.00
72.00
76.21
Dallas to Indianapolis
149.00
149.00
148.20
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Algebra for College Students
Algebra
ISBN:9781285195780
Author:Jerome E. Kaufmann, Karen L. Schwitters
Publisher:Cengage Learning