Descriptive Statistics
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Running head: DESCRIPTIVE STATISTICS
Descriptive Statistics
Victoria Jacoby
Walden University
DESCRIPTIVES VARIABLES=age higrade /STATISTICS=MEAN STDDEV MIN MAX SKEWNESS.
Descriptives
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation Skewness
Statistic Statistic Statistic Statistic Statistic Statistic Std. Error
Respondent's age at time of interview
1000 19.378 49.430 36.63733 6.198741 -.374 .077
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Statistics Respondent's age at time of interview
N Valid 1000
Missing 0 Mean 36.63733 Median 37.36849 Std. Deviation 6.198741 Range 30.052 Minimum 19.378 Maximum 49.430
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DESCRIPTIVE STATISTICS
Highest school grade completed
989 1 16 11.28 1.561 -.727 .078
Valid N (listwise) 989
Statistics
Race/ethnicity Currently
employed?
N Valid 998 998
Missing 2 2 Minimum 1 0 Maximum 4 1
Frequency Table
Race/ethnicity
Frequency Percent Valid Percent Cumulative
Percent
Valid Black, not Hispanic 803 80.3 80.5 80.5
Hispanic 128 12.8 12.8 93.3
White, not Hispanic 53 5.3 5.3 98.6
Other 14 1.4 1.4 100.0
Total 998 99.8 100.0 Missing Refused 1 .1
DK 1 .1 Total 2 .2
Total 1000 100.0
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DESCRIPTIVE STATISTICS
Currently employed?
Frequency Percent Valid Percent Cumulative
Percent
Valid No 546 54.6 54.7 54.7
Yes 452 45.2 45.3 100.0
Total 998 99.8 100.0 Missing System 2 .2 Total 1000 100.0
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DESCRIPTIVE STATISTICS
The study in this data set was conducted using women in low economic status
communities (Polit, 2010). The data in each table represents an occurrence or a trait shared by
the women in the group. The results show that women’s ages ranged from 19 to 49 years of age
and had completed anywhere from 1 year of school to 16 years. The majority of women were
black, followed by Hispanics, whites and other. Out of these women only one had refused to give
information on her race or ethnicity. The majority of the women were not employed.
PART II
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DESCRIPTIVE STATISTICS
In the first histogram, the information is negatively skewed. The long tail is pointed to the
left. This histogram shows the respondents ages. In the next histogram is symmetric and can be
split down the middle to mirror each half.
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DESCRIPTIVE STATISTICS
Part III
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation Skewness
Statistic Statistic Statistic Statistic Std. Error Statistic Statistic Std. Error
Family income prior month, all sources
895 $0 $6,593 $1,172.59 $26.345 $788.153 2.030 .082
Valid N (listwise) 895
Questions
1. What is the mean of this sample? 2. What is the standard deviation? 3. What is the standard error of the mean? 4. 95% CI =Mean(1,172.59$ +(-)(1.96x.$26.346)= 5. 99%CI=(1,172.59$+(-)(2.58 x $26.346)= 6. What interval is wider ? Explain
Answers 1. $1,172.59 2. $788.153 3. $26.345 4. 1,224.2262,1120.95184=103 5. 1,240.56268, 1,104.61732=135 6. The 99% interval is wider because it covers more possibilities and the likelihood of being
correct is greater.
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DESCRIPTIVE STATISTICS
Resources
Polit, D. (2010). Statistics and data analysis for nursing research (2nd ed.). Upper Saddle
River, NJ: Pearson Education Inc.
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