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Cognitive Psychology

Significance, critical values and errors

  • 3 things to know
  • Papers 1 and 3

Overview

Recall questions on probability and levels of significance, observed and critical values and what the tables require, sense checking, one-tailed decisions, type I and type II errors, standard form, and the symbols used in statistical conclusions.

What you need to know

Answer each one before you reveal it.

Your recallNot started
Evaluation

Why does a researcher need to know the sample size (N) when using critical value tables?

Evaluation

What is the level of significance in hypothesis testing?

Key term

In inferential statistics, what does probability refer to?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    In inferential statistics, what does probability refer to?

    Model answer

    The likelihood that the observed results occurred by chance rather than due to the independent variable.

  2. 2

    What is the level of significance in hypothesis testing?

    Model answer

    The threshold probability value below which the null hypothesis is rejected.

  3. 3

    What does a significance level of p≤.05 indicate, and why is it important in psychology?

    Model answer

    It means there is a 5% or less probability that results are due to chance; it is the conventional level used in psychology.

  4. 4

    What does a significance level of p≤.01 represent?

    Model answer

    A more stringent criterion meaning only 1% or less probability of results being due to chance.

  5. 5

    What does a significance level of p≤.10 represent?

    Model answer

    A more lenient criterion meaning 10% or less probability of results being due to chance.

  6. 6

    What is the observed value in inferential statistics?

    Model answer

    The statistic calculated from the research data using the inferential test.

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