7.5.2.2 Statistical Tests

• 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?

  $t - test$
• What statistical test is appropriate for comparing two paired groups with continuous, normally distributed data?

  $Paired t - test$
• When comparing three or more independent groups with continuous, normally distributed data, the recommended test is ANOVA