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Essay Available:
Pages:
2 pages/≈550 words
Sources:
No Sources
Level:
APA
Subject:
Accounting, Finance, SPSS
Type:
Math Problem
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 10.53
Topic:

SPSS Assignment: Case Processing Summary (Math Problem Sample)

Instructions:

spss assignment

source..
Content:

SPSS ANALYSIS
Student name
Course name
Lecturer’s name
Date
QUESTION ONE
* Develop a 95 percent confidence interval for the mean number of home runs per team and interpret the results. (2 points)
Case Processing Summary


Cases


Valid

Missing

Total


N

Percent

N

Percent

N

Percent

HR

30

100.0%

0

0.0%

30

100.0%

Descriptive


Statistic

Std. Error

HR

Mean

165.23

5.539


95% Confidence Interval for Mean

Lower Bound

153.90




Upper Bound

176.56



5% Trimmed Mean

165.13



Median

171.00



Variance

920.530



Std. Deviation

30.340



Minimum

102



Maximum

231



Range

129



Interquartile Range

39



Skewness

-.072

.427


Kurtosis

-.265

.833

Interpretation of results
This means that the researcher is 95% sure that the number of home runs is between 153.90 on the lower side and 176.56 on the upper side, with a standard error of 5.539 expected
* Develop a 90 percent confidence interval for the mean number of errors committed by each team and interpret the results. (2 points)
Case Processing Summary


Cases


Valid

Missing

Total


N

Percent

N

Percent

N

Percent

Errors

30

100.0%

0

0.0%

30

100.0%

Descriptive


Statistic

Std. Error

Errors

Mean

99.60

2.662


90% Confidence Interval for Mean

Lower Bound

95.08




Upper Bound

104.12



5% Trimmed Mean

99.31



Median

100.00



Variance

212.662



Std. Deviation

14.583



Minimum

68



Maximum

137



Range

69



Interquartile Range

19



Skewness

.351

.427


Kurtosis

.536

.833

Interpretation of results
The researcher is 90% sure that the number of errors committed by ach team is between 95.08 on the lower side and 104.12 on the upper side, with a standard error of 2.662 expected.
* Develop a 99 percent confidence interval for the mean number of stolen bases for each team and interpret the results. (2 points)
Case Processing Summary


Cases


Valid

Missing

Total


N

Percent

N

Percent

N

Percent

SB

30

100.0%

0

0.0%

30

100.0%

Descriptive


Statistic

Std. Error

SB

Mean

97.27

6.184


99% Confidence Interval for Mean

Lower Bound

80.22




Upper Bound

114.31



5% Trimmed Mean

95.06



Median

96.00



Variance

1147.237



Std. Deviation

33.871



Minimum

52



Maximum

200



Range

148



Interquartile Range

51



Skewness

.952

.427


Kurtosis

1.299

.833

Interpretation of results
This means that the researcher is 99% confident and sure that the number of stolen bases for each team is between 80.22 and 114.31 on the lower and upper sides respectively, with a standard error of 6.184
QUESTION TWO
* Develop a 95 percent confidence interval for the mean account balance amount x1 and interpret the results.
Case Processing Summary


Cases


Valid

Missing

Total


N

Percent

N

Percent

N

Percent

balance

60

100.0%

0

0.0%

60

100.0%

Descriptive


Statistic

Std. Error

balance

Mean

1499.8667

77.06009


95% Confidence Interval for Mean

Lower Bound

1345.6698




Upper Bound

1654.0636



5% Trimmed Mean

1524.3519



Median

1604.5000



Variance

356295.473



Std. Deviation

596.90491



Minimum

32.00



Maximum

2557.00



Range

2525.00



Interquartile Range

825.50



Skewness

-.616

.309


Kurtosis

-.141

.608

Interpretation of results
The results mean the researcher ...
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