Question
In: Statistics and Probability
Use SPSS® to check your mock data for the following: Assumptions of normality (Shapiro-Wilk) Homogeneity of...
Use SPSS® to check your mock data for the following:
- Assumptions of normality (Shapiro-Wilk)
- Homogeneity of variance (Lavene)
- Outliers
- Skewness/Kurtosis
Create a series of tables that depict your results. Do not simply paste your output from SPSS®;
| Time_Pressure | Detachment | Frequency |
| 1 | 1 | 84 |
| 1 | 2 | 94 |
| 2 | 1 | 89 |
| 2 | 2 | 94 |
| 3 | 1 | 147 |
| 3 | 2 | 175 |
| 4 | 1 | 206 |
| 4 | 2 | 267 |
| 5 | 1 | 199 |
| 5 | 2 | 354 |
Solutions
Expert Solution
- Assumptions of normality (Shapiro-Wilk)
The SPSS output is:
The assumptions of normality are met for arousal.
- Homogeneity of variance (Lavene)
The SPSS output is:
The Homogeneity of variance can be assumed for this data.
- Outliers
The SPSS output is:
There are no outliers in the data.
- Skewness/Kurtosis
The data is positively skewed.
Kurtosis is the same for both factors.
orchestra answered 2 years agoRelated Solutions
Use SPSS® to check your mock data for the following: Assumptions of normality (Shapiro-Wilk) Homogeneity of...
Use SPSS® to check your mock data
for the following:
Assumptions of normality (Shapiro-Wilk)
Homogeneity of variance (Lavene)
Outliers
Skewness/Kurtosis
sex
film
arousal
1
1
47
1
1
38
1
1
41
1
1
35
1
1
43
1
1
49
1
1
38
1
1
39
1
1
44
1
1
48
1
2
25
1
2
8
1
2
4
1
2
16
1
2
15
1
2
6
1
2
20
1
2
12
1
2
9...
Use SPSS® to check your mock data for the following: • Assumptions of normality (Shapiro-Wilk) •...
Use SPSS® to check your mock data for the following: •
Assumptions of normality (Shapiro-Wilk) • Homogeneity of variance
(Lavene) • Outliers • Skewness/Kurtosis Complete each of the
associated tasks below: 1) Create a series of tables that depict
your results. Do not simply paste your output from SPSS®;
0.00
21.00
0.00
21.00
0.00
42.00
0.00
18.00
0.00
15.00
0.00
24.00
0.00
36.00
0.00
36.00
0.00
18.00
0.00
24.00
0.00
30.00
0.00
39.00
0.00
21.00
0.00
15.00
0.00
51.00
0.00...
Why do we use residuals (instead of the data) to check the assumptions in an experimental...
Why do we use residuals (instead of the data) to check the
assumptions in an experimental design?
SPSS: Correlation Use SPSS or Excel to calculate the appropriate correlation coefficient for the following data...
SPSS: Correlation
Use SPSS or Excel to calculate the appropriate correlation
coefficient for the following data for “Hours of Exercise” and
“Life Satisfaction.” (0 = Not at all satisfied). Provide an
APA-style results section write – up. (b) Graph the
relationship.
HINT: Below you will find instructions for the APA-style
write-up.
Complete the write-up on a word document and upload the file
for submission.
Hours of Exercise.
2
0
5
6
1
2
4
4
3
4
life satisfaction...
Calculate this ANOVA by hand. Check your work by also calculating the ANOVA in SPSS or...
Calculate this ANOVA by hand. Check your work by also
calculating the ANOVA in SPSS or EXCEL. Be sure to do any multiple
comparison tests and interpret the results.
Control GroupA1
PsychoanalysisA2
CBTA3
X1
7
7
3
X2
10
5
3
X3
6
6
2
X4
8
5
3
X5
10
5
4
X6
10
6
2
X barA1
SX (A1)
SX2
SST = SX2 –
T2/an
(also called [X] – [T])
SST =
(a = number...
Use the data set attached. Include your SPSS output in this document as part of Step...
Use the data set attached.
Include your SPSS output in this document as part of Step 3.
Test for the significance of the correlation coefficient at the .05
level using a two-tailed test between hours of studying and
grade.
Hours of Study Grade
0 80
5 93
8 97
6 100
5 75
3 83
4 98
8 100
6 90
2 78
ASSIGNMENT: Enter the hypothetical data below in SPSS to use for the assignment. The SPSS commands: 'file',...
ASSIGNMENT:
Enter the hypothetical data below in SPSS to use for the
assignment. The SPSS commands: 'file', 'new', 'data'
will create a spreadsheet in which to enter the data below
(manually).
Case Control Treatment
1
5
6
2
4
7
3
5
5
4
4
6
5
5
5
6
6
6
7
5
5
8
4
6
9
5
5
10
5
10
In this experiment, all participants rated the credibility of
fake news stories on a scale of 1...
Assume a scenario to identify the outliers manually & through SPSS. Also, use graphs to check...
Assume a scenario to identify the outliers manually &
through SPSS. Also, use graphs to check the normal
distribution of your data in descriptive statistics.
Creat data set in SPSS, then identify outliers. Interpretation
and explain it.
** Use R for the following analysis. Use the BoneAcid.xlsx data to check what is causing...
** Use R for the following
analysis.
Use the BoneAcid.xlsx data to check what is causing the
variation in the acid content in bones among 42 male skeletons from
2 cemeteries. The independent variables included are internment
lengths, ages, depths, lime addition and contamination in soil.
Variables/Columns
Burial Site (1 or 2)
Internment Time (Years)
Burial Depth (feet)
LimeAdded (at internment) (1=Yes, 0=No)
Death_Age (Age of Person at the time of death)
Acid Level (g/100g of bone)
Contamination (In soil)...
Directions: Use SPSS to compute the Regression Line. Problem: Using the following set of data and...
Directions: Use SPSS to compute the Regression Line.
Problem: Using the following set of data and Excel, compute the
regression line. The data set represents the number of hours of
training to predict how severe injuries will be if someone is
injured playing football. Briefly summarize your findings.
Training
Injuries
Training
Injuries
12
8
11
5
3
7
16
7
22
2
14
8
12
5
15
3
11
4
16
7
31
1
22
3
27
5
24
8...
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