Descriptive statistics is the term given to the analysis of data that helps describe, show, or summarize data in a meaningful way. Descriptive statistics does not allow conclusions beyond the data analyzed or reach conclusions regarding any hypotheses made. It is only a way to describe the data gathered. Descriptive statistics allows data to be presented in a more meaningful way, which allows simpler interpretation of the data. Typically, there are two general types of statistic that are used to describe data. Measures of central tendency are ways of describing the central position of a frequency distribution for a group of data. Measures of spread are ways of summarizing a group of data by describing how spread of the scores. Week 4’s assignment was to
Body weight (Lbs)
Central Tendency: Mean= 149 Lbs
Dispersion: Standard deviation= 30 Lbs
Min/Max: 99 Lbs and 234 Lbs
Confidence Interval: 144 to 155 Lbs
Central Tendency: Median= 36 years
Dispersion: Interquartile range= 20.5 years/2=+-10 years Number: 100
Min/Max: 18 years and 74 years
Confidence Interval: Not applicable (data is not normally distributed)
Thirteen percent of the subjects have no high school degree while 44 percents have a high school degree. 43 percent have a college or college graduated degree.
Body Weight and Age histogram
Descriptive Statistics Interpretation
One hundred subjects were randomly selected. Their body weight was observed between 99 and 234 pounds. Their average was 149 pounds with a variation of plus or minus 30 pounds. One half or more were above 149 pounds. There is a 95 percent confidence that the population body weight average is between 144 and 155 pounds. Age
The data was significantly skewed. One hundred subjects were randomly selected. Their ages were between 18 and 74 years, with a variation of plus or minus 10 years. One half or more subjects were 36 years of age or older. The middle half of the subjects’ ages fell between 27 and 47 years. The most frequent age was 36 years.