Research methods 4

    Cards (83)

    • What is the purpose of summarizing data?

      To simplify complex data and make it easier to understand
    • What does a measure of central tendency indicate?

      It provides an indication of a "typical" score in the data set
    • What are the three common measures of central tendency?
      • Mean
      • Median
      • Mode
    • How do you calculate the mean of a data set?

      Add all scores together and divide by the number of scores (N)
    • What is the mean of the data set {4, 5, 1, 1, 10, 7, 11, 1}?

      55
    • What is a pro of using the mean as a measure of central tendency?

      It provides an estimate of the average score in the data set
    • What is a con of using the mean?

      It is affected by extreme data points
    • How do you find the median of a data set?

      Order the data and find the value in the middle
    • What is the median of the ordered data set {1, 1, 1, 4, 5, 7, 10, 11}?

      4.54.5
    • What is a pro of using the median?

      It is insensitive to extreme scores in the data set
    • What is a con of using the median?

      It doesn’t reflect the shape of the scores
    • What is the mode in a data set?

      The most frequently occurring score
    • What is the mode of the data set {4, 5, 1, 1, 10, 7, 11, 1}?

      11
    • What is a pro of using the mode?

      It is easy to calculate and understand
    • What is a con of using the mode?

      The data set might have more than one mode or no mode at all
    • When should you use the mean, median, or mode?

      • Use the mean for normally distributed data
      • Use the median for skewed data
      • Use the mode for categorical data or when the most common value is needed
    • What is the data set representing hours spent watching TV last night?

      {2, 3, 3, 4, 4, 4, 4, 5, 5, 6}
    • What are the three data sets provided as examples for measures of central tendency?

      1. {1, 1, 1, 2, 2, 3, 4, 5, 5, 6}
      2. {1, 27, 28, 29, 30}
      3. {1, 1, 1, 1, 1, 1, 2, 2, 3, 3, 3, 3, 50}
    • What does "spread" refer to in a data set?

      It refers to how spread out the data is.
    • What is the summary of the three common measures of central tendency?
      Mean: average of scores; Median: middle score; Mode: most frequent score
    • How is the range of a data set calculated?

      Range is the difference between the maximum and minimum score.
    • What is the range of the data set {2, 3, 3, 4, 4, 4, 4, 5, 5, 6}?

      4
    • Why might the range not always reflect variability in different distributions?

      Because the range doesn’t change for distributions with different shapes.
    • How does distribution A differ from distribution B in terms of spread?

      Distribution B is more spread out and less concentrated than distribution A.
    • What is the mean of the data set {2, 3, 3, 4, 4, 4, 4, 5, 5, 6}?

      4
    • What does deviation represent in a data set?

      Deviation is the signed distance of a score from the mean.
    • How do you calculate the average deviation from the mean?

      By averaging the deviations of each score from the mean.
    • What is the average deviation for the data set {2, 3, 3, 4, 4, 4, 4, 5, 5, 6}?

      0
    • What is the formula for calculating average squared deviation?

      Average squared deviation is calculated by averaging the squared deviations from the mean.
    • What is the average squared deviation for the data set {2, 3, 3, 4, 4, 4, 4, 5, 5, 6}?

      1. 2
    • How is sample variance calculated?

      Sample variance is calculated by averaging the squared deviations and dividing by \(N-1\).
    • What is the sample variance for the data set {2, 3, 3, 4, 4, 4, 4, 5, 5, 6}?

      1. 33
    • Why do we divide by \(N-1\) instead of \(N\) when calculating sample variance?

      To account for the degrees of freedom in the sample.
    • What is a variable?

      A variable is something that can vary.
    • What is the formula for calculating sample standard deviation?

      Sample standard deviation is the square root of the sample variance.
    • What is an example of a categorical variable?
      Handedness
    • What is an example of a continuous variable?

      Temperature
    • What is the sample standard deviation for the data set {2, 3, 3, 4, 4, 4, 4, 5, 5, 6}?

      1. 15
    • What is an example of a discrete variable?

      No. of siblings
    • How does the concentration of data affect standard deviation?

      More concentrated data has a smaller standard deviation, while more spread out data has a larger standard deviation.
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