Case Processina Summary Cases Valid Mis Total N Percent N Percent N Percent 41 1
ID: 3354026 • Letter: C
Question
Case Processina Summary Cases Valid Mis Total N Percent N Percent N Percent 41 1.8% 219 100.0% 4 1.896 219 100.0% Height in inches 215| 215| 98.2% Weight in pounds 98.2% Std. Statistic Erro 68.093028716 Height in inches Mean 95% Confidence Bound Interval for Upper Mean 67 5270 68.6591 Bound 5% Trimmed Mean Median Variance 68.0917 68.0000 17.730 4.21066 52.00 80.00 28.00 5.00 071 769 Std. Deviation Minimum Maximum Ra Interquartile Range Skewness 166 330 156.632.317 Kurtosis Weight in pounds Mean 95% Lower Confidence Bound 152.06 Interval for Upper Mean 161.19 Bound 54.47 50. 00 T 5% Trimmed-mean medsan VarsaNe Maximum Range Interquartile Range Skewness Kurtosis 285 185 43 940 1.205 166 330 1- in your viewer window, compare the mean, median, and trimmed mean for the two variables the two appear to have some outliers skewing the distribution?Explanation / Answer
Answer with explanation as below. Write back in case you have doubts:
All given the summary of "centrality" of data but they are more relevant is different cases:
Mean gives the best centrality summary when the distribution is symmetric
Median is preffered over mean when the distribution is skewed.
However, the mode can also be appropriate in these situations, but is not as commonly used as the median.
Check the last figure. It is a skewed distribution to the right with heavy frequecy at the left:
So, it is left skewed distribution. And Median should be the right indicator or "center" of dataset