Statistics: Normal Curve and Z Scores 4
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Questions and Answers

What does a Z score of 1.50 correspond to in terms of IQ for the children’s data?

  • 130 (correct)
  • 120
  • 140
  • 110
  • Which of the following represents the proportion of the area under the curve between a Z score of 1.00 and the mean?

  • 0.4332
  • 0.5000
  • 0.3413 (correct)
  • 0.1234
  • What does the area in column (b) for a Z score of 1.50 signify?

  • The total area under the curve
  • The area above a negative Z score
  • The area between the score and the mean (correct)
  • The area to the right of the mean
  • What is true about the areas associated with positive and negative Z scores?

    <p>They are always the same</p> Signup and view all the answers

    According to the normal distribution properties, how is the total area of the normal curve characterized?

    <p>Always positive values</p> Signup and view all the answers

    What is the correct interpretation of the area value 0.4332 for a Z score of 1.50?

    <p>Percentage of scores between 130 and the mean</p> Signup and view all the answers

    In statistical terms, what does the Z score indicate?

    <p>The relative position of a score within a distribution</p> Signup and view all the answers

    What should be carefully noted regarding the Z score?

    <p>The sign of the Z score is extremely important</p> Signup and view all the answers

    How is the area between two scores on opposite sides of the mean calculated?

    <p>By adding the areas between each score and the mean</p> Signup and view all the answers

    What is the Z score for an IQ of 93, given a mean of 100 and a standard deviation of 20?

    <p>-0.35</p> Signup and view all the answers

    If the scores of interest are on the same side of the mean, what is the first step to find the area between them?

    <p>Convert the scores to Z scores</p> Signup and view all the answers

    What is the combined area between the IQ scores of 93 and 112?

    <p>0.3625</p> Signup and view all the answers

    What Z score corresponds to an IQ of 121 with a mean of 100 and a standard deviation of 20?

    <p>1.05</p> Signup and view all the answers

    What is the Z score for an IQ score of 108 given a mean of 100 and a standard deviation of 20?

    <p>+0.40</p> Signup and view all the answers

    How many cases are roughly represented by the area between IQ scores 93 and 112 if there are 1,000 total cases?

    <p>363</p> Signup and view all the answers

    Which column should you refer to for finding the area above a positive Z score?

    <p>Area beyond Z</p> Signup and view all the answers

    Why is a different procedure used when finding area between scores on the same side of the mean?

    <p>The Z scores are not symmetrical</p> Signup and view all the answers

    What is the total area between IQ scores of 113 and 121 when converted to Z scores?

    <p>Requires additional data</p> Signup and view all the answers

    What is the area above a Z score of +0.40?

    <p>0.1554</p> Signup and view all the answers

    To find the total area below a positive Z score, which values should be added?

    <p>Area between Mean and Z plus 0.5000</p> Signup and view all the answers

    Which column indicates the area below a negative Z score?

    <p>Column (c)</p> Signup and view all the answers

    How can you find a raw score when only a percentile is reported?

    <p>By using the Z score table</p> Signup and view all the answers

    When finding the area below a negative Z score, which value should be referenced?

    <p>Area above Z</p> Signup and view all the answers

    What procedure is recommended for better understanding the areas related to Z scores?

    <p>Sketch the normal distribution curve</p> Signup and view all the answers

    What is the first step to find the area between two scores on the same side of the mean?

    <p>Find the area between each score and the mean.</p> Signup and view all the answers

    If the area between a Z score of +0.65 and the mean is 0.2422, what does this represent?

    <p>24.22% of the total area</p> Signup and view all the answers

    What is the area between the Z scores of +1.05 and the mean?

    <p>0.3531</p> Signup and view all the answers

    What percentage of the total area lies between Z scores of +1.05 and +0.65?

    <p>11.09%</p> Signup and view all the answers

    What is the procedure for finding areas if both scores are below the mean?

    <p>Add the areas between each score and the mean.</p> Signup and view all the answers

    How is a Z score calculated based on score and distribution information?

    <p>By subtracting the mean from the score and dividing by the standard deviation.</p> Signup and view all the answers

    What is the standard deviation in the given example of driver’s license test scores?

    <p>5</p> Signup and view all the answers

    What is the probability that a randomly selected case will have a score within ±1 standard deviation of the mean?

    <p>0.6826</p> Signup and view all the answers

    How many trials would show Z scores beyond ±3.00 out of every 10,000 trials?

    <p>26</p> Signup and view all the answers

    What is the total probability of selecting a case with a score beyond ±3.00 standard deviations from the mean?

    <p>0.0026</p> Signup and view all the answers

    What is the Z score for a score of 61, given a mean of 72 and a standard deviation of 8?

    <p>-1.37</p> Signup and view all the answers

    What proportion of cases lies below a Z score of -1.37 according to the area distribution?

    <p>0.0853</p> Signup and view all the answers

    In contrast to the probability of scores within ±1 standard deviation, what is the likelihood of scores falling beyond ±3 standard deviations?

    <p>Lower</p> Signup and view all the answers

    If the mean of a distribution is 72 and the standard deviation is 8, what is the probability that a randomly selected student will score more than 80?

    <p>0.1587</p> Signup and view all the answers

    When looking for probabilities regarding a range of scores, what is the first step to determine the distributions?

    <p>Calculate Z scores</p> Signup and view all the answers

    What is the mean score of the final-year students who took the examination?

    <p>74</p> Signup and view all the answers

    If the standard deviation of a distribution is 10, what percentage of students scored between 75 and 85?

    <p>Approximately 34%</p> Signup and view all the answers

    In a normal distribution with a mean of 50 and a standard deviation of 10, what percentage of the area lies below a score of 53?

    <p>84%</p> Signup and view all the answers

    For retirees with a mean age of 72 and a standard deviation of 6, how is the Z score for an age of 78 calculated?

    <p>Z = 1</p> Signup and view all the answers

    What percentage of the area lies above a score of 89 in a normally distributed test score mean of 78 and standard deviation of 11?

    <p>Approximately 5%</p> Signup and view all the answers

    If a score of 60 is analyzed in a normal distribution with a mean of 78 and standard deviation of 11, what is its Z score?

    <p>-1.64</p> Signup and view all the answers

    For a sample of retirees, how many retirees are expected to have retired at an age older than 82 if the average age at retirement is 72?

    <p>20</p> Signup and view all the answers

    What percentage of scores lies between 70 and 95 in a distribution with a mean of 78 and a standard deviation of 11?

    <p>Approximately 60%</p> Signup and view all the answers

    Study Notes

    Introduction to the Normal Curve

    • The normal curve is a crucial concept in statistics, used with the mean and standard deviation to describe empirical distributions.
    • It's a theoretical model of a perfectly smooth, unimodal, and symmetrical frequency polygon.
    • The normal curve has a bell shape, with tails extending infinitely in both directions.
    • Although no empirical distribution perfectly matches the normal model, many variables closely approximate it (e.g., test scores, height, weight).
    • The normal curve's primary use is describing empirical distributions based on theoretical knowledge of the curve.
    • Distances along the horizontal axis (abscissa), when measured in standard deviations from the mean, always encompass the same proportion of the total area under the curve.

    Z Scores

    • Z scores transform raw scores into units of standard deviation.
    • They always have a mean of zero and a standard deviation of one.
    • Z scores are used when converting raw scores to standard form, which standardizes the data for easier comparison and analysis.
    • Z-score formula: Z = (X1 - X)/s
    • A positive Z score indicates a score above the mean; a negative Z score indicates a score below the mean.

    Standard Normal Curve Table

    • Statisticians have analyzed and described the theoretical normal curve thoroughly.
    • The table organizes the areas related to any Z score (precisely determined).
    • The table is often found as an appendix in statistics textbooks.

    Finding Areas Under the Curve

    • Determining areas under the curve involves calculating the proportions of the total area between or beyond specific Z scores.
    • The area between a Z score and the mean, and the area beyond a Z score can be found using the standard normal curve table (Appendix A), which holds calculated areas in a table format.
    • The properties of symmetry under the curve can be applied when looking for areas above or below a negative Z score. When calculating these areas, the sign of the Z score is crucial.

    Relationship Between Z-scores and Raw Scores

    • The formula for converting raw scores to Z-scores is Z = (X1–X)/s
    • Using the provided formula, raw scores can be transformed into Z-scores.
    • Knowing that Z scores are based on the mean and standard deviation, allows us to determine if a score is above or below the mean in relative terms.

    Determining Probabilities

    • The normal curve can be used to estimate probabilities for interval-ratio variable scores.
    • Probabilities are calculated as the ratio of successes to total possible events.
    • Using the normal curve table and Z-scores, probabilities can be determined for a particular range of scores.

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    PSCI 2702 Chapter 4. PDF

    Description

    This quiz covers essential concepts of the normal curve and Z scores in statistics. Learn about the properties of the normal curve, its applications in empirical distributions, and how Z scores standardize raw data. Test your knowledge and understanding of these foundations in statistics.

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