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Measures of the Location of the Data Quiz

12 questions math Grades 9-12

The question sheet

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  1. The first quartile, Q1, is the same as which percentile?

    • 25th percentile
    • 75th percentile
    • 90th percentile
    • 50th percentile
    Reveal answer

    Answer: 25th percentile

    Source evidence

    PDF page 101: Quartiles are special percentiles. The first quartile, Q1, is the same as the 25 percentile, and the third quartile, Q3, is the

  2. The median, M, is also known as which of the following?

    • 90th percentile
    • Second quartile
    • First quartile
    • Third quartile
    Reveal answer

    Answer: Second quartile

    Source evidence

    PDF page 101: same as the 75 percentile. The median, M, is called both the second quartile and the 50 percentile. To calculate quartiles and percentiles, you must order the data from smallest to largest. Quartiles divide ordered data into quarters. Percentiles divide ordered data into hundredths. Recall that a percent means one-hundredth. So, percentiles mean

  3. What do quartiles divide ordered data into?

    • Tenths
    • Hundredths
    • Halves
    • Quarters
    Reveal answer

    Answer: Quarters

    Source evidence

    PDF page 101: same as the 75 percentile. The median, M, is called both the second quartile and the 50 percentile. To calculate quartiles and percentiles, you must order the data from smallest to largest. Quartiles divide ordered data into quarters. Percentiles divide ordered data into hundredths. Recall that a percent means one-hundredth. So, percentiles mean

  4. Percentiles divide ordered data into how many sections?

    • 100
    • 10
    • 50
    • 4
    Reveal answer

    Answer: 100

    Source evidence

    PDF page 101: same as the 75 percentile. The median, M, is called both the second quartile and the 50 percentile. To calculate quartiles and percentiles, you must order the data from smallest to largest. Quartiles divide ordered data into quarters. Percentiles divide ordered data into hundredths. Recall that a percent means one-hundredth. So, percentiles mean

    PDF page 101: the data is divided into 100 sections. To score in the 90 percentile of an exam does not mean, necessarily, that you received 90 percent on a test. It means that 90 percent of test scores are the same as or less than your score and that 10 percent of the

  5. Scoring in the 90th percentile means what about test scores?

    • 90% scored same or less than you
    • 90% scored more than you
    • You got 90% correct
    • You missed 90% of questions
    Reveal answer

    Answer: 90% scored same or less than you

    Source evidence

    PDF page 101: the data is divided into 100 sections. To score in the 90 percentile of an exam does not mean, necessarily, that you received 90 percent on a test. It means that 90 percent of test scores are the same as or less than your score and that 10 percent of the

  6. Why do universities and colleges use percentiles extensively?

    • They are useful for comparing values
    • They require small samples
    • They eliminate outliers
    • They are easy to calculate
    Reveal answer

    Answer: They are useful for comparing values

    Source evidence

    PDF page 102: test scores are the same as or greater than your test score. Percentiles are useful for comparing values. For this reason, universities and colleges use percentiles extensively. One instance in which colleges and universities use percentiles is when SAT results are used to determine a minimum testing

  7. The interquartile range indicates the spread of what part of the data?

    • The entire data set
    • The lowest 25 percent
    • The highest 25 percent
    • The middle 50 percent
    Reveal answer

    Answer: The middle 50 percent

    Source evidence

    PDF page 102: The interquartile range is a number that indicates the spread of the middle half, or the middle 50 percent of the data. It is the difference between the third quartile (Q3) and the first quartile (Q1) IQR = Q3 – Q1. The IQR for this data set is calculated as 9 minus 2, or 7. The IQR can help to determine potential outliers. A value is suspected to be a potential outlier if it is less than 1.5 × IQR below the first quartile or more than 1.5 × IQR above the third quartile. Potential outliers always require further

  8. A value is a potential outlier if it is more than how much above Q3?

    • 1.5 × IQR
    • 2.5 × IQR
    • 2.0 × IQR
    • 1.0 × IQR
    Reveal answer

    Answer: 1.5 × IQR

    Source evidence

    PDF page 102: The interquartile range is a number that indicates the spread of the middle half, or the middle 50 percent of the data. It is the difference between the third quartile (Q3) and the first quartile (Q1) IQR = Q3 – Q1. The IQR for this data set is calculated as 9 minus 2, or 7. The IQR can help to determine potential outliers. A value is suspected to be a potential outlier if it is less than 1.5 × IQR below the first quartile or more than 1.5 × IQR above the third quartile. Potential outliers always require further

  9. For the 13 real estate prices, what is the calculated IQR?

    • 340,250
    • 510,375
    • 308,750
    • 649,000
    Reveal answer

    Answer: 340,250

    Source evidence

    PDF page 103: IQR = 649,000 – 308,750 = 340,250

  10. In the real estate example, which price is a potential outlier?

    • 5,500,000
    • 488,800
    • 114,950
    • 1,095,000
    Reveal answer

    Answer: 5,500,000

    Source evidence

    PDF page 103: No house price is less than –201,625. However, 5,500,000 is more than 1,159,375. Therefore, 5,500,000 is a potential outlier.

  11. How is the median found when a data set has an even number of values?

    • The largest value
    • The middle value
    • Average of two middle values
    • The smallest value
    Reveal answer

    Answer: Average of two middle values

    Source evidence

    PDF page 102: score that will be used as an acceptance factor. For example, suppose Duke accepts SAT scores at or above the 75 percentile. That translates into a score of at least 1220. Percentiles are mostly used with very large populations. Therefore, if you were to say that 90 percent of the test scores are less, and not the same or less, than your score, it would be acceptable because removing one particular data value is not significant. The median is a number that measures the center of the data. You can think of the median as the middle value, but it does not actually have to be one of the observed values. It is a number that separates ordered data into halves. Half the values are the same number or smaller than the median, and half the values are the same number or larger. For example, consider the following data: 1, 11.5, 6, 7.2, 4, 8, 9, 10, 6.8, 8.3, 2, 2, 10, 1 Ordered from smallest to largest: 1, 1, 2, 2, 4, 6, 6.8, 7.2, 8, 8.3, 9, 10, 10, 11.5 When a data set has an even number of data values, the median is equal to the average of the two middle values when the data are arranged in ascending order (least to greatest). When a data set has an odd number of data values, the median is equal to the middle value when the data are arranged in ascending order. Since there are 14 observations (an even number of data values), the median is between the seventh value, 6.8, and the eighth value, 7.2. To find the median, add the two values together and divide by two. 6.8 + 7.2 = 7 2 The median is seven. Half of the values are smaller than seven and half of the values are larger than seven. Quartiles are numbers that separate the data into quarters. Quartiles may or may not be part of the data. To find the quartiles, first find the median, or second, quartile. The first quartile, Q1, is the middle value of the lower half of the data, and the third quartile, Q3, is the middle value, or median, of the upper half of the data. To get the idea, consider the same data set: 1, 1, 2, 2, 4, 6, 6.8, 7.2, 8, 8.3, 9, 10, 10, 11.5 The data set has an even number of values (14 data values), so the median will be the average of the two middle values (the 6.8 + 7.2 average of 6.8 and 7.2), which is calculated as and equals 7. 2 So, the median, or second quartile ( Q ), is 7. 2 The first quartile is the median of the lower half of the data, so if we divide the data into seven values in the lower half and seven values in the upper half, we can see that we have an odd number of values in the lower half. Thus, the median of the lower half, or the first quartile ( Q ) will be the middle value, or 2. Using the same procedure, we can see that the median 1 of the upper half, or the third quartile ( Q ) will be the middle value of the upper half, or 9. 3 The quartiles are illustrated below:

  12. For the sleep data, what is the 28th percentile?

    • 7
    • 6
    • 6.5
    • 8
    Reveal answer

    Answer: 6.5

    Source evidence

    PDF page 104: and the seven 6s. The 28 percentile is between the last six and the first seven. The 28 percentile is 6.5.

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