Chapter 2: Problem 85
Indicate whether the five number summary corresponds most likely to a distribution that is skewed to the left, skewed to the right, or symmetric. (0,15,22,24,27)
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Chapter 2: Problem 85
Indicate whether the five number summary corresponds most likely to a distribution that is skewed to the left, skewed to the right, or symmetric. (0,15,22,24,27)
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Exercises 2.137 to 2.139 use data from NutritionStudy on dietary variables and concentrations of micronutrients in the blood for a sample of \(n=315\) individuals. Daily Calorie Consumption The five number summary for daily calorie consumption is \((445,1334,\) 1667,2106,6662) (a) The 10 largest data values are given below. Which (if any) of these is an outlier? \(\begin{array}{lllll}3185 & 3228 & 3258 & 3328 & 3450\end{array}\) \(\begin{array}{lllll}3457 & 3511 & 3711 & 4374 & 6662\end{array}\) (b) Determine whether there are any low outliers. Show your work. (c) Draw the boxplot for the calorie data.
Exercises 2.145 and 2.146 examine issues of location and spread for boxplots. In each case, draw sideby-side boxplots of the datasets on the same scale. There are many possible answers. One dataset has median 25, interquartile range 20 , and range 30 . The other dataset has median \(75,\) interquartile range 20 , and range 30 .
For each set of data in Exercises 2.43 to 2.46: (a) Find the mean \(\bar{x}\). (b) Find the median \(m\). (c) Indicate whether there appear to be any outliers. If so, what are they? \(\begin{array}{llllllll}\mathbf15, & 22, & 12, & 28, & 58, & 18, & 25, & 18\end{array}\)
The survey included 43 students who smoke and 319 who don't. Find \(\hat{p},\) the proportion who smoke.
Runs and Wins in Baseball In Exercise 2.136 on page 100 , we looked at the relationship between total hits by team in the 2010 season and division (NL or AL) in baseball. Two other variables in the BaseballHits dataset are the number of wins and the number of runs scored during the season. The dataset consists of values for each variable from all 30 MLB teams. From these data we calculate the regression line: $$ \widehat{\text { Wins }}=0.362+0.114(\text { Runs }) $$ (a) Which is the explanatory and which is the response variable in this regression line? (b) Interpret the intercept and slope in context. (c) The Oakland A's won 81 games while scoring 663 runs. Predict the number of games won by Oakland using the regression line. Calculate the residual. Were the A's efficient at winning games with 663 runs?
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