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.

Running

head:

DESCRIPTIVE

STATISTICS

1

Descriptive

Statistics

Gloria

Okoye

Walden

University

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