The accompanying data represent the miles per gallon of a random sample of cars with a three-cylinder, 1.0 liter engine. (a) Compute the z-score corresponding to the individual who obtained 37.4 miles...


The accompanying data represent the miles per gallon of a random sample of cars with a three-cylinder, 1.0 liter engine.<br>(a) Compute the z-score corresponding to the individual who obtained 37.4 miles per gallon. Interpret this result.<br>(b) Determine the quartiles.<br>(c) Compute and interpret the interquartile range, IQR.<br>(d) Determine the lower and upper fences. Are there any outliers?<br>Click the icon to view the data.<br>(a) Compute the z-score corresponding to the individual who obtained 37.4 miles per gallon. Interpret this result.<br>The z-score corresponding to the individual is<br>and indicates that the data value is<br>standard deviation(s)<br>V the<br>(Type integers or decimals rounded to two decimal places as needed.)<br>MPG Data<br>32.3<br>35.8<br>37.8<br>38.7<br>40.1<br>42.5<br>34.6<br>36.3<br>38.1<br>38.9<br>40.6<br>42.7<br>34.8<br>37.4<br>38.3<br>39.3<br>41.5<br>43.3<br>35.3<br>37.6<br>38.5<br>39.7<br>41.7<br>49.2<br>Print<br>Done<br>

Extracted text: The accompanying data represent the miles per gallon of a random sample of cars with a three-cylinder, 1.0 liter engine. (a) Compute the z-score corresponding to the individual who obtained 37.4 miles per gallon. Interpret this result. (b) Determine the quartiles. (c) Compute and interpret the interquartile range, IQR. (d) Determine the lower and upper fences. Are there any outliers? Click the icon to view the data. (a) Compute the z-score corresponding to the individual who obtained 37.4 miles per gallon. Interpret this result. The z-score corresponding to the individual is and indicates that the data value is standard deviation(s) V the (Type integers or decimals rounded to two decimal places as needed.) MPG Data 32.3 35.8 37.8 38.7 40.1 42.5 34.6 36.3 38.1 38.9 40.6 42.7 34.8 37.4 38.3 39.3 41.5 43.3 35.3 37.6 38.5 39.7 41.7 49.2 Print Done

Jun 01, 2022
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