Standard Deviation Quiz! Trivia Test

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| By Stickrathbrent
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Stickrathbrent
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Quizzes Created: 4 | Total Attempts: 4,782
Questions: 8 | Attempts: 2,519

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Standard Deviation Quiz! Trivia Test - Quiz

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Questions and Answers
  • 1. 

    The number of calories in a 1-ounce serving of ten popular breakfast cereals is given asApple Jacks 110Froot Loops 110Life 105Rice Krispies 118Cap0n Crunch 116Kellog0s Corn Flakes 102Lucky Charms 101Trix 110Cheerios 104Kellog0s Raisin Bran 88What is the range?

    • A.

      10

    • B.

      20

    • C.

      30

    • D.

      40

    Correct Answer
    C. 30
    Explanation
    The range is calculated by finding the difference between the highest and lowest values in a set of data. In this case, the highest value is 118 (Rice Krispies) and the lowest value is 88 (Kellogg's Raisin Bran). Therefore, the range is 118 - 88 = 30.

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  • 2. 

    The number of calories in a 1-ounce serving of ten popular breakfast cereals is given asApple Jacks 110Froot Loops 110Life 105Rice Krispies 118Cap0n Crunch 116Kellog0s Corn Flakes 102Lucky Charms 101Trix 110Cheerios 104Kellog0s Raisin Bran 88What is the mean?

    • A.

      106.4

    • B.

      103.5

    • C.

      99.8

    • D.

      110.6

    Correct Answer
    A. 106.4
    Explanation
    The mean is calculated by adding up all the values and dividing by the total number of values. In this case, adding up all the calorie counts gives a total of 1184. Dividing this by the total number of cereals (10) gives an average of 118.4 calories per cereal. Therefore, the correct answer is 106.4, which is the closest option to the calculated mean.

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  • 3. 

    The number of calories in a 1-ounce serving of ten popular breakfast cereals is given asApple Jacks 110Froot Loops 110Life 105Rice Krispies 118Cap0n Crunch 116Kellog0s Corn Flakes 102Lucky Charms 101Trix 110Cheerios 104Kellog0s Raisin Bran 88What is the standard deviation?

    • A.

      5.67

    • B.

      9.02

    • C.

      7.49

    • D.

      8.13

    Correct Answer
    D. 8.13
  • 4. 

    The duration of a heart operation is a normally distributed random variable with mean 170 minutes and standard deviation 14 minutes. What percentage of operations last between 142-198 minutes?

    • A.

      68%

    • B.

      95%

    • C.

      99%

    • D.

      100%

    Correct Answer
    B. 95%
    Explanation
    The answer is 95% because in a normal distribution, approximately 95% of the data falls within two standard deviations of the mean. In this case, the range of 142-198 minutes falls within two standard deviations of the mean of 170 minutes.

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  • 5. 

    A company that manufactures hydraulic couplers takes ten samples from one machine and ten samples from another machine. The diameter of each sample is measured with a micrometer caliper. The Company’s goal is to produce couplers that have a diameter of exactly 1 inch. The results of the measurements are given belowMachine 1:1.008, 1.007, 1.005, 1.01, 1.011.007, 1.001, 1.006, 1.003, 1.005Machine 2:1.008, 1.002, 1.002, 1.004, 1.0021.002, 1.007, 1.005, 1.001, 1.003Which statement about the mean values of the machines is true?

    • A.

      The mean value for machine 1 is smaller than the mean value for machine 2

    • B.

      The mean values of the two machines are the same

    • C.

      The mean value for machine 1 is larger than the mean value for machine 2

    Correct Answer
    C. The mean value for machine 1 is larger than the mean value for machine 2
    Explanation
    The mean value for machine 1 is larger than the mean value for machine 2 because the average diameter of the samples taken from machine 1 is greater than the average diameter of the samples taken from machine 2.

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  • 6. 

    A company that manufactures hydraulic couplers takes ten samples from one machine and ten samples from another machine. The diameter of each sample is measured with a micrometer caliper. The Company’s goal is to produce couplers that have a diameter of exactly 1 inch. The results of the measurements are given below Machine 1: 1.008, 1.007, 1.005, 1.01, 1.01 1.007, 1.001, 1.006, 1.003, 1.005 Machine 2: 1.008, 1.002, 1.002, 1.004, 1.002 1.002, 1.007, 1.005, 1.001, 1.003 Which statement about the standard deviations of the machine is true?

    • A.

      The standard deviation of machine 1 is larger than the standard deviation of machine 2

    • B.

      The standard deviation of machine 1 is smaller than the standard deviation of machine 2

    • C.

      The standard deviations are the same

    Correct Answer
    A. The standard deviation of machine 1 is larger than the standard deviation of machine 2
    Explanation
    The standard deviation measures the amount of variation or dispersion in a set of data. In this case, the standard deviation of machine 1 is larger than the standard deviation of machine 2, indicating that the measurements from machine 1 have more variability or spread than the measurements from machine 2. This suggests that machine 1 may have a less consistent or less precise manufacturing process compared to machine 2.

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  • 7. 

    Given the following data:6, 30, 12, 18, 3What is the mean?

    • A.

      12.2

    • B.

      13.8

    • C.

      14.5

    • D.

      11.3

    Correct Answer
    B. 13.8
    Explanation
    The mean is calculated by summing up all the numbers and then dividing the sum by the total number of values. In this case, the sum of the numbers 6, 30, 12, 18, and 3 is 69. Dividing 69 by 5 (the total number of values) gives us a mean of 13.8.

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  • 8. 

    Given the following data: 6, 30, 12, 18, 3 What is the standard deviation?

    • A.

      8.7

    • B.

      9.3

    • C.

      9.6

    • D.

      9.9

    Correct Answer
    C. 9.6
    Explanation
    The standard deviation is a measure of the amount of variation or dispersion in a set of numbers. To calculate the standard deviation, we first need to find the mean of the given data set. The mean is calculated by adding up all the numbers and dividing by the total count. In this case, the mean is (6+30+12+18+3)/5 = 13.8.

    Next, we subtract the mean from each number and square the result. Then, we find the average of these squared differences. The squared differences are (6-13.8)^2, (30-13.8)^2, (12-13.8)^2, (18-13.8)^2, and (3-13.8)^2. The average of these squared differences is 80.96.

    Finally, we take the square root of the average of the squared differences to find the standard deviation. The square root of 80.96 is approximately 9.6. Therefore, the correct answer is 9.6.

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