1 the commuting times of an employee are show in 10 consecutive days in minutes: 71 67 67 70 78 72 75 70 74 77 The interquartile range of the data set is 5 minutes. interpret this IQR in context A. the middle 50% of the sorted commute times has a range of 5 minutes B. the most common commute tint was 5 minutes c. the average commute time was 5 minutes D. the median of the commute time is 5 minutes

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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1 the commuting times of an employee are show in 10 consecutive days in minutes: 71 67 67 70 78 72 75 70 74 77 The interquartile range of the data set is 5 minutes. interpret this IQR in context A. the middle 50% of the sorted commute times has a range of 5 minutes B. the most common commute tint was 5 minutes c. the average commute time was 5 minutes D. the median of the commute time is 5 minutes 2. suppose a random sample is taken of 90 students in a tech class and the researchers recorded the number of minutes spent on a smart phone during a typical day and the students overall GPA. the explanatory variable is the number of minutes spent on a smartphone each day. the researcher notices a linear trend on the scatterplot and creates a linear regression model. she finds a correlation coefficient of -0.91. which of the following statements is the best interpretation of this correlation? A. spending more minutes on a smartphone each day causes a student to have a lower GPA B. students who spend more minutes on their smartphone have a higher GPA C. students who spend more time on their smartphone always have a lower overall GPA D. students who spend more time on their smartphone each day tend to have a lower GPA
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