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Solve the problem. 
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| 28 |
| 31 |
| 61 |
| 30 |
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On Monday mornings, a bookie tabulates the point spreads for the basketball games played on Saturday and Sunday. He found that 4 games had a spread of 1 or 2 points, 5 had a spread of 3 to 6 points, 5 had a spread of 7 to 10, and 3 were more than 10. Construct the relative frequency table the bookie obtained for the weekend basketball games.
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Construct the cumulative frequency table that corresponds to the given frequency table. 
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Given that 700 people were aged between 25 and 40, approximately how many had a systolic blood pressure reading between 130 and 149 inclusive?
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| 23 |
| 16 |
| 105 |
| 161 |
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Solve the problem. 
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| 49.5 |
| 48.5 |
| 50.5 |
| 49.0 |
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Construct a frequency polygon for the given frequency table. 
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Find the original data from the stem-and-leaf plot. 
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| 29 2 5 7, 30 2 3 9, 31 1 7 |
| 31, 34, 36, 32, 33, 39, 32, 38 |
| 29 2, 29 5, 29 7, 30 2, 30 3, 30 9, 31 1, 31 7 |
| 29 2, 29 5, 30 7, 30 2, 30 3, 30 9, 31 1, 32 7 |
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| $70.37 |
| $61.57 |
| $82.09 |
| $86.51 |
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| $5415.72 |
| $4257.00 |
| $4873.70 |
| $4043 |
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Find the mode(s) for the given sample data. 20, 38, 46, 38, 49, 38, 49
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| 39.7 |
| 49 |
| 46 |
| 38 |
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Find the midrange for the given sample data. A meteorologist records the number of clear days in a given year in each of 21 different U.S. cities. The results are shown below. Find the midrange. 72 143 52 84 100 98 101
120 99 121 86 60 59 71
125 130 104 74 83 55 169
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| 117 |
| 110.5 |
| 112 |
| 98 |
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Find the mean of the data summarized in the given frequency table. 
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| 64.2 |
| 74.5 |
| 67.7 |
| 71.3 |
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Find the range for the given data. Rich Borne is currently taking Chemistry 101. On the five laboratory assignments for the quarter, he got the following scores: 30 37 11 50 53 Compute the range.
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| 42 |
| 7 |
| 11 |
| 53 |
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Find the variance for the given data. Round your answer to one more decimal place than the original data. 15, 4, 12, 18, and 1
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| 73.3 |
| 52.4 |
| 42.0 |
| 52.5 |
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Find the standard deviation for the given data. Round your answer to one more decimal place than the original data. 2, 6, 15, 9, 11, 22, 1, 4, 8, 19
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| 6.3 |
| 7.1 |
| 2.1 |
| 6.8 |
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Solve the problem. The heights in feet of people who work in an office are as follows. Use the range rule of thumb to find the standard deviation. Round results to the nearest tenth. 5.9 5.7 5.5 5.4 5.7 5.5 5.6 6.2 6.1 5.5
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| 1.2 |
| 0.1 |
| 0.2 |
| 0.5 |
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The heights of the adults in one town have a mean of 67.3 inches and a standard deviation of 3.4 inches. What can you conclude from Chebyshev's theorem about the percentage of adults in the town whose heights are between 60.5 and 74.1 inches?
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| The percentage is at least 75% |
| The percentage is at most 95% |
| The percentage is at least 95% |
| The percentage is at most 75% |
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Solve the problem. Round results to the nearest hundredth. The mean of a set of data is 0.92 and its standard deviation is 2.42. Find the z score for a value of 3.81.
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| 1.49 |
| 1.07 |
| 1.31 |
| 1.19 |
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Find the z-score corresponding to the given value and use the z-score to determine whether the value is unusual. Consider a score to be unusual if its z-score is less than -2.00 or greater than 2.00. Round the z-score to the nearest tenth if necessary. A body temperature of 99.8° F given that human body temperatures have a mean of 98.20° F and a standard deviation of 0.62°.
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| 2.6; not unusual |
| -2.6; unusual |
| 2.6; unusual |
| -2.6; not unusal |
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Determine which score corresponds to the higher relative position. 
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| A score of 283.4 |
| Both scores have the same relative position. |
| A score of 44 |
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Construct a boxplot for the given data. Include values of the 5-number summary in all boxplots. The weights (in pounds) of 30 newborn babies are listed below. Construct a boxplot for the data set. 5.5 5.7 5.8 5.9 6.1 6.1 6.3 6.4 6.5 6.6
6.7 6.7 6.7 6.9 7.0 7.0 7.0 7.1 7.2 7.2
7.4 7.5 7.7 7.7 7.8 8.0 8.1 8.1 8.3 8.7
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Construct a modified boxplot for the data. 
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