What is the mean of this sample

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Running head: DESCRIPTIVE STATISTICS

 

 

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DESCRIPTIVE STATISTICS

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Descriptive Statistics

Gloria Okoye

Walden University

 

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

 

 

 

 

 

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
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

 

 

 

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

 

 

 

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

 

 

 

 

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.

 

Part III

Family Income

 

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.

 

Resources

Polit, D. (2010). Statistics and data analysis for nursing research (2nd ed.). Upper Saddle

River, NJ: Pearson Education Inc.