23) following graphing technies may lead to producing s milealing ber b) Clearly

Question

23) following graphing technies may lead to producing s milealing ber b) Clearly labeling the x-axis c) Starting the y-axis at a value other than 0 d) Setting the widths of the bars to be the same 24) In measuring the center of the data for a right-skewed disteribution over the mcan for most p a) The median the median would be preferred measures the arithmetic average of the data excluding oudiers most frequent number while the mean is the most tikely value mean may be too heavily influenced by the larger observations 25) Since the size of the population is always larger than the size Is always larger than the Is always smaller than the population mean. a) b) d) Can be smaller than, larger than, or equal to the 26) a sample of 50 individuals' heights. He mistakenly recorded the tallest individual as 750 inches tall rather than 75 affected by this typo? b) Median. c) Standard deviation. d) Both (a) and (b). 27) Below are the standard deviations of marathon finish times (in hours) for a randomly sclected group of women and men. Which statement best summarizes the differences in the standard deviations for women and men? Women:s 0.16 Men: 0.25 a) The distribution of men's finish times is less variable than the distribution of women's finish the distribution of men's finish times variable than c) On average, women's finish times will be 0.16 hours less than men's finish times d) On average, men's finish times will be 0.25 hours faster than the overall average finish time times

Explanation / Answer

Q.23. c) Starting the y-axis at a value other than 0.

Q24.c) The mean may be too heavily influenced by the larger observation.

Q25.d) Can be smaller than, larger than or equal to the population mean.

Q26.c) Standard deviation. Since median is the middle obeservation and IQR is Q3-Q1 which will be remain unaffected.

Q27. b. The distribution of women's fishing is less variable than the distribution of men's fishing times. Because the small value of variance indicated less variability in the data.

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