Statistics in Psychology PSYC 241 - Week 6
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Questions and Answers

What does a Z-score of 0 indicate about a specific value in relation to the mean?

  • The value is one standard deviation above the mean.
  • The value is two standard deviations below the mean.
  • The value is equal to the mean. (correct)
  • The value is one standard deviation below the mean.
  • In the example provided, what is the Z-score calculated for Ahmet's family's income of 15,230 TL?

  • 0.75
  • 0.50
  • 1.70 (correct)
  • 2.00
  • You receive a Z-score of -1.5. What can you infer about the data value?

  • The value is higher than the mean.
  • The value is exactly at the mean.
  • The value is 1.5 standard deviations below the mean. (correct)
  • The value is 1.5 standard deviations above the mean.
  • What percentage of people earn more than Ahmet's family based on the calculated Z-score?

    <p>4%</p> Signup and view all the answers

    What is the first step in calculating a Z-score?

    <p>Subtract the mean from the data point.</p> Signup and view all the answers

    Which of the following is true regarding the Z-score table?

    <p>It is applicable solely to normal distributions.</p> Signup and view all the answers

    If a variable has a Z-score of 2.5, what does this imply?

    <p>The variable is 2.5 standard deviations above the mean.</p> Signup and view all the answers

    What is an important consideration when using Z-scores in non-normal distributions?

    <p>You must calculate the distribution area using a different function.</p> Signup and view all the answers

    Study Notes

    Statistics in Psychology PSYC 241 - Week 6

    • Course: Statistics in Psychology PSYC 241
    • Week: 6
    • Instructor: Demet Kara, PhD
    • Semester: Fall 2024
    • Topics: Standard units in statistics and introduction to SPSS

    Z-scores

    • Definition: An indication of how many standard deviations a value is away from the mean.
    • Formula: z = (x - μ) / σ
    • μ = Mean
    • σ = Standard Deviation
    • Applicability: Equally applicable to any variable (e.g., time, anxiety, depression, height).
    • Importance: Provides a universal scale for measurement.

    Z-scores and the Standard Normal Distribution

    • Z-score of 0: Represents the mean.
    • Z-score of 1: Represents 1 standard deviation above the mean.
    • Z-score of -1: Represents 1 standard deviation below the mean.
    • Bell Curve: The Standard Normal Distribution visually depicted as a bell curve.
    • Percentages: Specific percentages of the distribution are associated with specific z-score intervals.

    Normal Distribution & Z-scores

    • Normal Curve: The distribution follows a bell-shaped curve; also known as the "bell curve".
    • Z-scores: Used to identify the location of individual data points within the distribution.

    Z-score Table

    • Application: Provides probabilities for specific z-score values.
    • Usage: To determine the percentage of data points falling within a given interval.
    • Interpretation: Requires both first and second decimal places

    Exercises

    • Exercise Example (Turkish Income): A Turkish family's income, the average income in Turkey, and the standard deviation of household income are provided; students need to calculate the percentage of people who earn more than Ahmed's family.
    • Example Formula (Turkish Income): z=(15230-11500)/2200 = 1.70

    Where does Ahmet's family income fall?

    • Distribution: The average income in Turkey and Ahmet's family income are positioned on the normal distribution graph.
    • Percentage: The percentage of people who earn more than Ahmed's family is approximately 4%
    • Leaders: The Senate and House of Representatives minority leaders' ages are provided in a context.
    • Concept: The ages are compared relative to the mean ages of their respective groups to determine which leader was older.
    • Conclusion: The Senator was older in relation to the House representative.

    Relative Time Example (Marathon/Half-Marathon Times)

    • Times: The average time for both races, Rex's full marathon time, and Lisa's half-marathon time are provided.
    • Concept: Comparing Rex's and Lisa's times relative to the average for their respective races determines who finished faster.
    • Conclusion: The person finishing a half-marathon in 100 minutes would have finished faster relative to their specific race.

    Important Questions about Z-score

    • Applicability: Z-score tables only apply to normal distributions.
    • Non-normal Distributions: Percentiles of a z-score are uncertain in non-normal distributions.

    SPSS Functionality

    • Tool: A software application, SPSS
    • Usage: Used to perform statistical analyses.
    • 'Analyze' Menu: All functions and tasks of analyses needed when using SPSS are accessed via the 'Analyze' menu

    Descriptive Statistics in SPSS

    • Function: Used for calculating counts, percentages, means, modes, medians, and standard deviations.
    • Frequencies: For counts and percentages.
    • Descriptives: For means, modes, medians, and standard deviations.

    Producing Charts/Graphs in SPSS

    • Graphs: Histograms can show whether a data distribution is normal.
    • Tools: Charts are built and produced with various tools in SPSS.

    Checking for Normality

    • Method: Statistical methods available in SPSS to check for normal distributions
    • Procedure: Steps to follow in SPSS for checking normality.

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    Related Documents

    PSYC241 Week 6 Fall 2024 PDF

    Description

    This quiz covers week 6 of Statistics in Psychology PSYC 241, focusing on standard units in statistics and an introduction to SPSS. Topics include z-scores, their formula, and the relationship with the standard normal distribution. Test your understanding of these fundamental concepts in psychology statistics.

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