Psychological Statistics Course Orientation
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Questions and Answers

Which of the following is NOT a basic concept in psychological statistics?

  • Variables and Measurement
  • Socialization and Conformity (correct)
  • Sampling Techniques
  • Data Collection

    • What is the primary purpose of descriptive statistics?

  • Predicting future outcomes based on past data
  • Drawing conclusions about a population based on a sample
  • Summarizing and organizing data to understand trends and patterns (correct)
  • Testing hypotheses to determine if there is a significant relationship between variables

    • Which of the following is an example of inferential statistics?

  • Calculating the average age of students in a classroom
  • Creating a bar chart to show the distribution of gender in a survey
  • Estimating the average income of all Americans based on a sample of 1,000 people (correct)
  • Finding the most popular color of cars in a parking lot

    • What are the three main requirements for this course?

    <p>Journal entry/reflection, quizzes, and examination</p> Signup and view all the answers

    The course grading system is based on 65% activities/performance/recitation, 15% quizzes, and 20% term exams.

    <p>True (A)</p> Signup and view all the answers

    What is the key reason why statistics are important in psychology?

    <p>Statistics allow us to make sense of the information observed or studied in a reliable way.</p> Signup and view all the answers

    Statistics is ______ the collection, organization, display, and interpretation of data in a scientific manner.

    <p>not</p> Signup and view all the answers

    What is the primary benefit of using appropriate techniques in collecting data?

    <p>Increasing the accuracy and reliability of the data (B)</p> Signup and view all the answers

    How does statistics add credibility to an argument?

    <p>By providing evidence based on numbers, it makes the argument more convincing (B)</p> Signup and view all the answers

    Which of the following is NOT a characteristic of descriptive statistics?

    <p>Draws inferences about a population from a sample (A)</p> Signup and view all the answers

    Match the examples with either Descriptive or Inferential Statistics:

    <p>Calculating the average height of students in a class = Descriptive Statistics Estimating the average income of all Filipinos based on a sample of 1,000 people = Inferential Statistics Creating a bar graph to show the distribution of gender in a survey = Descriptive Statistics Analyzing the relationship between stress levels and sleep quality = Descriptive Statistics Predicting the likelihood of a student graduating based on their GPA = Inferential Statistics</p> Signup and view all the answers

    Which example best illustrates the concept of inferential statistics?

    <p>A researcher using a sample of 50 participants to study the effects of a new drug on anxiety (A)</p> Signup and view all the answers

    Which of the following is NOT a key characteristic of inferential statistics?

    <p>Creates a visual representation of data (A)</p> Signup and view all the answers

    Descriptive statistics is used to draw inferences or conclusions about a population.

    <p>False (B)</p> Signup and view all the answers

    Inferential statistics can be used to make predictions about future outcomes.

    <p>True (A)</p> Signup and view all the answers

    Which of the following best defines the purpose of statistics in psychology?

    <p>To objectively analyze and interpret data related to psychological phenomena (D)</p> Signup and view all the answers

    The main requirement for this course are: journal entry/reflection, quizzes and examinations.

    <p>True (A)</p> Signup and view all the answers

    Which of the following are included as part of descriptive statistics?

    <p>All of the above (D)</p> Signup and view all the answers

    What is the purpose of inferential statistics?

    <p>To draw inferences or conclusions about the population from a sample.</p> Signup and view all the answers

    Study Notes

    Course Information

    • Course title: Psychological Statistics
    • Instructor: Dana Soliven
    • University: Wesleyan University - Philippines

    Today's Agenda

    • Course Orientation
    • Basic Concepts in Psychological Statistics

    Learning Objectives

    • Familiarization with the grading system, class requirements, and rules for the entire semester
    • Explanation of the basic concepts, meaning, nature, and importance of statistics in research
    • Differentiation between descriptive and inferential statistics

    Course Description

    • Aligned with CMO 34 of 2017
    • Covers concepts and methods of descriptive and inferential statistics
    • Includes design, analysis, and interpretation of psychological studies

    Course Outcomes

    • Students will be able to apply statistical principles
    • Ability to perform statistical tests
    • Ability to interpret statistical data

    Course Outline (Weeks 1-18)

    • Week 1: Introduction to Psychological Statistics (course orientation, basic concepts)
    • Week 2: Basic Concepts in Statistics (variables and measurement)
    • Week 3: Sampling Techniques and Data Collection
    • Week 4: Descriptive Statistics (organizing, presenting, describing data, measures of center, variability, and position)
    • Week 5: Descriptive Statistics (shapes of distribution, measures of normality)
    • Week 6: PRELIM EXAM
    • Week 7: Descriptive Statistics (standard scores, normal distribution curve)
    • Week 8: Inferential Statistics (statistical hypothesis, directional and non-directional, Type I and Type II errors)
    • Week 9: Steps in Hypothesis Testing (basic terminologies, critical values, and critical regions)
    • Week 10: Steps in Hypothesis Testing (parametric statistical techniques, quantitative data)
    • Week 11: Steps in Hypothesis Testing (non-parametric statistical techniques, qualitative data)
    • Week 12: MIDTERM EXAM
    • Week 13: Mean Comparison (one-sample t-test, paired-sample t-test, independent sample t-test)
    • Week 14: Analysis of Variance (one-way ANOVA, factorial ANOVA, correlational analysis)
    • Week 15: Regression Analysis (simple regression, multiple regression)
    • Week 16: Non-Parametric Test Assumptions (Chi-Square Test, Phi-Coefficient Analysis, Cramer's V Test, Mann-Whitney U Test)
    • Week 17: Non-Parametric Test Assumptions (Kruskal-Wallis H Test, Wilcoxon Signed-Rank Test, Friedman Test)
    • Week 18: FINAL EXAM

    Course Grading System

    • Activities/Performance/Recitation: 65%
    • Quizzes: 15%
    • Term Exams: 20%
    • Total: 100%

    Class Requirements

    • Modules, activities, learning materials, and other course requirements will be provided ahead of time
    • Students should answer activities and quizzes honestly and not copy from others
    • Students with no internet access can take pictures of assignments and send them via email
    • Journal Entry/Reflection Papers required, reflecting on learned material for each topic
    • Modules will be uploaded every second Monday of the month
    • Activities, quizzes, and exams are due on the last Friday of the month

    Importance of Statistics in Psychology

    • Statistics is used to understand observed information reliably
    • Helps make sense of data objectively and derive conclusions.

    Importance of Statistics in Research

    • Use appropriate techniques to collect data effectively
    • Objectively interpreting information from the data
    • Drawing properly supported conclusions from the data
    • Enhancing the credibility of arguments

    Levels of Analysis

    • Descriptive Statistics: Summarizes data (e.g., averages, distributions) to provide a general view
    • Inferential Statistics: Makes inferences about a population based on sample data, enabling generalizations.

    Try and Learn

    • Examples to practice identifying levels of analysis (descriptive or inferential) in various scenarios:
      • Pie graph of sexual orientations: Descriptive
      • Negative relationship between stress and sleep quality: Inferential
      • Age range of students: Descriptive
      • Approval rating of a politician: Descriptive
      • Mean height of Filipino women: Descriptive

    Reference

    • Howell, D. C. (2010). Statistical methods for psychology. Belmont, CA: Thomson Wadsworth.

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    Related Documents

    Psychological Statistics Course Outline - Wesleyan University
    Psychological Statistics - Wesleyan University PDF

    Description

    This quiz focuses on the introductory concepts of Psychological Statistics, including an overview of the grading system, course requirements, and basic terminology. You'll learn about descriptive and inferential statistics, their significance in research, and how to apply statistical principles effectively.

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