Analyze the descriptive statistics and graphs for men and women. Do you see any difference in...
Analyze the descriptive statistics and graphs for men and women. Do you see any difference in the amount of time that men and women spend on email?
|
Gender |
Variables |
Mean |
St.Dev. |
Max |
Min |
||||||
|
Male (1) |
EMAILHR |
6.33 |
9.506 |
50 |
0 |
||||||
|
Female (2) |
EMAILHR |
5.93 |
8.884 |
50 |
0 |
||||||
|
Gender |
Variables |
Median |
First quartile |
Third quartile |
|||||||
|
Male (1) |
EMAILHR |
2.00 |
1.00 |
8.00 |
|||||||
|
Female (2) |
EMAILHR |
2.00 |
1.00 |
7.00 |
|||||||
Homework Answers
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Analyze the descriptive statistics and graphs for men and women.
Do you see any difference in...
Quick Check please Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek...
Quick Check please
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis 615 Lower Bound Upper Bound 50 50 2.658 7.585 5.93 4.98 6.88 4.57 2.00 78.924 8.884 157 314 485 Female Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Lower Bound Upper...
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95%...
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis 615 Lower Bound Upper Bound 50 50 2.658 7.585 5.93 4.98 6.88 4.57 2.00 78.924 8.884 157 314 485 Female Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Lower Bound Upper Bound 50 50...
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95%...
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis 615 Lower Bound Upper Bound 50 50 2.658 7.585 5.93 4.98 6.88 4.57 2.00 78.924 8.884 157 314 485 Female Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Lower Bound Upper Bound 50 50...
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95%...
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis 615 Lower Bound Upper Bound 50 50 2.658 7.585 5.93 4.98 6.88 4.57 2.00 78.924 8.884 157 314 485 Female Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Lower Bound Upper Bound 50 50...
What does the five number tell us about the time spent on email (Hint, interpret the...
What does the five number tell us about the time spent on email
(Hint, interpret the five number summary in plain English) and what
does the Boxplot and the normality test show? Explain.
Use the 1.5xIQR rule to identify possible outliers. List the
cutoff points for outliers, Show your workings. Explain what you
found out. (Hint: Are there any excessive time spent on email for
Male(1) or Female(2) or both).
GET DATA /TYPE-XLS /FILE='C: \Users\rmanda 1 \ Desktop\homework! . xls'...
Homework Case 1 Statistics - Please explain and show how to create graphs and charts. Pelican Stores a division of National Clothing, is a chain of women's apparel store operating throughout the c...
Homework Case 1 Statistics - Please explain and show how to create graphs and charts. Pelican Stores a division of National Clothing, is a chain of women's apparel store operating throughout the country.The chain recently ran a promotion in which discount coupons were sent to customers of othe National Clothing stores. Data collected for a sample of 100 in-store credit card transactions at Pelican Stores during one day while the promotion was running are contained in the file name Pelican...
Statistics Participant Ethnicity Participant Age Participant Gender 90 90 90 Valid N 10 0 Missing 2.1556...
Statistics Participant Ethnicity Participant Age Participant Gender 90 90 90 Valid N 10 0 Missing 2.1556 32.3111 1.5333 Mean 2.0000 31.5000 2.0000 Median 2.00 32.00 2.00 Mode 1.26234 11.86501 501 68 Std.Deviation 1.00 17.00 1.00 Minimum 6.00 67.00 2.00 Maximum Frequency Table Participant Gender Cumulative Percent Percent Valid Percent Frequency 42 46.7 46.7 46.7 Valid Male 48 53.3 Female 53.3 100.0 Total 90 100.0 100.0 Participant Age Cumulative Valid Percent Percent Frequency Percent 1.1 17.00 1.1 1.1 1 3.3 4.4...
Quick Check please
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis 615 Lower Bound Upper Bound 50 50 2.658 7.585 5.93 4.98 6.88 4.57 2.00 78.924 8.884 157 314 485 Female Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Lower Bound Upper...
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis 615 Lower Bound Upper Bound 50 50 2.658 7.585 5.93 4.98 6.88 4.57 2.00 78.924 8.884 157 314 485 Female Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Lower Bound Upper Bound 50 50...
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis 615 Lower Bound Upper Bound 50 50 2.658 7.585 5.93 4.98 6.88 4.57 2.00 78.924 8.884 157 314 485 Female Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Lower Bound Upper Bound 50 50...
Respondents Sex Statistic Std. Error 6.33 5.12 7.54 4.85 2.00 90.364 9.506 EmailHrsiperWeek Male Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis 615 Lower Bound Upper Bound 50 50 2.658 7.585 5.93 4.98 6.88 4.57 2.00 78.924 8.884 157 314 485 Female Mean 95% Confidence Interval for Mean 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Lower Bound Upper Bound 50 50...
What does the five number tell us about the time spent on email
(Hint, interpret the five number summary in plain English) and what
does the Boxplot and the normality test show? Explain.
Use the 1.5xIQR rule to identify possible outliers. List the
cutoff points for outliers, Show your workings. Explain what you
found out. (Hint: Are there any excessive time spent on email for
Male(1) or Female(2) or both).
GET DATA /TYPE-XLS /FILE='C: \Users\rmanda 1 \ Desktop\homework! . xls'...
Statistics Participant Ethnicity Participant Age Participant Gender 90 90 90 Valid N 10 0 Missing 2.1556 32.3111 1.5333 Mean 2.0000 31.5000 2.0000 Median 2.00 32.00 2.00 Mode 1.26234 11.86501 501 68 Std.Deviation 1.00 17.00 1.00 Minimum 6.00 67.00 2.00 Maximum Frequency Table Participant Gender Cumulative Percent Percent Valid Percent Frequency 42 46.7 46.7 46.7 Valid Male 48 53.3 Female 53.3 100.0 Total 90 100.0 100.0 Participant Age Cumulative Valid Percent Percent Frequency Percent 1.1 17.00 1.1 1.1 1 3.3 4.4...
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