18. Use the data in the table. Describe the shape of the distribution, and tell the measures of center and variation that best represent the data.\begin{tabular}{|l|c|c|c|c|c|c|c|}\hline Interval & 1−10 & 11−20 & 21−30 & 31−40 & 41−50 & 51−60 & 61−70 \\\hline Frequency & 21 & 28 & 21 & 15 & 12 & 6 & 3 \\\hline\end{tabular}(A) skewed left; median and standard deviation(B) symmetric; mean and five-number summary(C) skewed right; median and five-number summary(D) symmetric; mean and standard deviation
Q. 18. Use the data in the table. Describe the shape of the distribution, and tell the measures of center and variation that best represent the data.\begin{tabular}{|l|c|c|c|c|c|c|c|}\hline Interval & 1−10 & 11−20 & 21−30 & 31−40 & 41−50 & 51−60 & 61−70 \\\hline Frequency & 21 & 28 & 21 & 15 & 12 & 6 & 3 \\\hline\end{tabular}(A) skewed left; median and standard deviation(B) symmetric; mean and five-number summary(C) skewed right; median and five-number summary(D) symmetric; mean and standard deviation
Analyze Data Shape: Analyze the frequency distribution to determine the shape of the data. The frequencies decrease as the intervals increase, indicating a concentration of data on the lower end and fewer frequencies as the values increase. This suggests a right-skewed distribution.
Identify Center and Variation: Identify the measures of center and variation that best represent the data. For skewed distributions, the median is a better measure of center because it is less affected by extreme values. The five-number summary (minimum,first quartile,median,third quartile,maximum) provides a good representation of the spread and central tendency in skewed data.
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