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timama [110]
3 years ago
13

Which statement is true about the distribution? A line ranging from 0 to 120 with boxes between 15 and 28, 28 and 34, 34 and 40,

and 40 and 48. The IQR is the best measure of variability because the distribution has an outlier. Either the IQR or the range are good measures of variability because the distribution has an outlier. Either the IQR or the range are good measures of variability because the distribution has no outliers. The range is the best measure of variability because the distribution has an outlier.
Mathematics
1 answer:
steposvetlana [31]3 years ago
6 0
Each statement mentioned indicates that there is an outlier.  Whenever there is an outlier, the interquartile range is always going to be the best measure of variability because an outlier will make the data seem more variable due to the number that is far away from the rest of the numbers.

The correct answer is the first choice.
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Assuming the following question: "The scatter plot shows the number of years of experience, x, and the hourly pay rate, y, for each of 25 cashiers in Ohio. x represent the number of years of experience and y the hourly pay rate. The line adusted is:  y=0.95x+7.95, to answer the questions below. Give exact answers, not rounded approximations. "

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For this case we can use the lineal model given:

y = 0.95 x +7.95

And we can replace x =7 years and we got:

y= 0.95*7 +7.95 =14.6

(b) What is the predicted hourly pay rate for a cashier who doesn't have any experience?

For this case we just need to replace in the linear model x=0 since that means no experience and we got:

y= 0.95*0 +7.95 =7.95

(c) For an increase of one year of experience, what is the predicted increase in the hourly pay rate?"

For this case we can use the slope from the linear model to answer this question, the 0.95 on this case represent the increase in the hourly pay rate per each year of experience, for example if we have one year of experience the pay rate increase 0.95. So then the answer for this case is 0.95.

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