7.5.2.2 Statistical Tests

    Cards (75)

    • What is the purpose of a t-test in psychology research?
      Compares means between two groups
    • What is the purpose of ANOVA in psychology research?
      Compares means among three or more groups
    • What are inferential statistics used for in psychology research?
      Drawing conclusions about populations
    • Statistical tests are used to determine the probability that the null hypothesis
    • Inferential statistics help determine if results are due to real effects or chance.
    • Match the statistical test with its purpose:
      t-test ↔️ Compares means between two groups
      Chi-square test ↔️ Analyses categorical data
      ANOVA ↔️ Compares means among three or more groups
    • What is the main purpose of statistical tests in psychology research?
      To make inferences about populations
    • Order the steps in conducting a statistical test:
      1️⃣ State the null hypothesis
      2️⃣ Choose the appropriate statistical test
      3️⃣ Calculate the test statistic
      4️⃣ Determine the p-value
      5️⃣ Make a decision about the hypothesis
    • A t-test is used to compare the means between two groups
    • Which statistical test is used to analyze categorical data?
      Chi-square test
    • Inferential statistics help determine if sample results reflect a real effect in the population.
    • What is the primary goal of statistical tests in psychology research?
      To determine statistical significance
    • Match the statistical test with its purpose and data type:
      t-test ↔️ Compares means between two groups, Continuous
      Chi-square test ↔️ Analyses categorical data, Discrete
      ANOVA ↔️ Compares means among three or more groups, Continuous
    • Statistical tests are used to make inferences about a population
    • Why are statistical tests used in psychology research?
      To make inferences about populations
    • A t-test compares anxiety scores of two groups after different therapies.
    • What is the purpose of statistical tests in psychology research?
      Analyse data, test hypotheses
    • A t-test is used to compare means between two groups
    • Parametric tests assume data follows a normal distribution.
    • Parametric tests require homogeneous variance
    • Match the statistical test with its category:
      t-test ↔️ Parametric
      Chi-square ↔️ Non-parametric
    • Steps to choose the appropriate statistical test:
      1️⃣ Identify data type (categorical or continuous)
      2️⃣ Determine the number of groups being compared
      3️⃣ Assess sample independence (paired or independent)
      4️⃣ Check data distribution (normal or non-normal)
    • A paired t-test is used when samples are independent.
      False
    • Which test is recommended for non-normal continuous data with two independent groups?
      Mann-Whitney U test
    • A chi-square test is used for analyzing categorical data.
    • What statistical test is recommended for comparing average test scores of two independent groups with normal distribution?
      t-test
    • Which statistical test is recommended for comparing preferences for different product designs?
      Chi-square test
    • Inferential statistics draw conclusions about a population based on sample data.
    • Statistical tests determine the probability that the null hypothesis is true.
    • Match the statistical test with its purpose:
      t-test ↔️ Compares means between two groups
      ANOVA ↔️ Compares means among three or more groups
      Chi-square test ↔️ Analyses categorical data
    • What is the purpose of the ANOVA test?
      Compare means among groups
    • What type of data does the Chi-square test analyse?
      Categorical
    • Parametric tests are suitable for data with non-normal distribution.
      False
    • Which non-parametric test is used to compare user preferences across categories?
      Chi-square test
    • Non-parametric tests use ranks or frequencies instead of means and variances.
    • Match the statistical test with its recommended scenario:
      t-test ↔️ Continuous data, two independent groups, normal distribution
      Chi-square test ↔️ Categorical data, two or more groups, independent samples
    • What statistical test is recommended for comparing preferences for different product designs?
      Chi-square test
    • Which statistical test is recommended for comparing two independent groups with continuous, normally distributed data?
      ttestt - test
    • What statistical test is appropriate for comparing two paired groups with continuous, normally distributed data?
      PairedttestPaired t - test
    • When comparing three or more independent groups with continuous, normally distributed data, the recommended test is ANOVA
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