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