9 Questions
True or false: The p value represents the probability of observing the test statistic assuming that the null hypothesis is true.
True
True or false: The alternative hypothesis states that those who sleep 7 hours or more per night will show better memory performance than those who sleep less than 7 hours.
True
True or false: The null hypothesis testing process involves formulating a hypothesis, collecting relevant data, fitting a model to the data, and assessing the statistical significance of the result.
True
Which step of null hypothesis testing involves fitting a model to the data and computing the test statistics?
Step 4
What does the p value represent in null hypothesis testing?
The probability of observing the test statistic assuming the null hypothesis is true
What is the alternative hypothesis in the context of this lecture?
Those who sleep 7 hours or more per night will show better memory performance than those who sleep less than 7 hours
Match the following steps with their descriptions in the null hypothesis testing process:
Step 1 = Formulate a hypothesis that embodies our prediction Step 3 = Collect some data relevant to the hypothesis Step 5 = Compute the probability of the observed value of that statistic assuming that the null hypothesis is true Step 6 = Assess the 'statistical significance' (p value) of the result
Match the following concepts with their definitions:
Null hypothesis = The hypothesis that there is no significant difference between specified populations Alternative hypothesis = The hypothesis that states there is a significant difference between specified populations P value = The probability of observing the test statistic assuming that the null hypothesis is true Statistical significance = A statistical term to indicate that a result is not likely to occur randomly, but rather is likely to be attributable to a specific cause
Match the following hypotheses with their definitions:
Prediction = A hypothesis formulated before seeing the data Null = A hypothesis that embodies no significant difference between specified populations Alternative/Experimental = A hypothesis that states there is a significant difference between specified populations Statistical Significance = A term used to indicate that a result is not likely to occur randomly, but rather is likely to be attributable to a specific cause
Test your knowledge on important aspects of statistical models and their significance in research methods. This quiz covers topics such as null hypothesis testing, p-values, statistical significance, effect size, and power. Challenge yourself to see how well you understand these concepts and their application in hypothesis formulation.
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