SPSS - SPSS project two, Ungvary PDF

Title SPSS - SPSS project two, Ungvary
Course Elem Statistical Methods
Institution University of Alabama
Pages 1
File Size 114.6 KB
File Type PDF
Total Downloads 104
Total Views 178

Summary

SPSS project two, Ungvary...


Description

Statistics wealth

age

region

233

225

233

0

8

0

Mean

2.6815

64.0311

Median

1.8000

65.0000

1.00

68.00

3.31884

13.53085

6.575

-.662

.159

.162

56.966

1.961

.318

.323

36.00

95.00

Minimum

1.00

7.00

Maximum

37.00

102.00

N

Valid Missing

Mode Std. Deviation Skewness Std. Error of Skewness Kurtosis Std. Error of Kurtosis Range

1. Mean wealth: 2.6815 Mean age: 64.0311 Range wealth: 1.00 to 37.00 Range age: 7.00 to 102.00 Standard deviation wealth: 3.32 Standard deviation age: 13.53 2. From looking at the graph for the you can conclude that age curve is a bimodal, normal, symmetrical distribution. While by looking at the wealth graph you can conclude that it is negatively skewed, and unimodal.

3. The best mode of central tendency for wealth is median, for age is mean, and for region the best mode of central tendency is mode because it qualitative data. The median for wealth is 1.8000. The mean for age is 64.0311. The mode for region is Europe. You can calculate variability for wealth and age by finding the range and standard deviation. You cannot calculate measures of variability for region because it is qualitative data not quantitative. The range for age is 95 years and the standard deviation is 13.513. For wealth, the range is 36 billion while the standard deviation is, 3.319 billion. 4. I used the mean for the measure of central tendency of age which is 64.0311, because it gives you a good picture of the data set. There aren’t really outliers to skew the mean, and therefor make it an unreliable measure. For wealth, I used median because there are some outliers such as 37.00, which slightly skew the data making median the best measure of central tendency. For region, I used mode which is Europe. Due to that it is qualitative data as opposed to quantitative like age and wealth are. The range for wealth is 36 billion, while the range for age is 96 years. The range for region cannot be calculated as it is qualitative data....


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