Question
In rejecting a null hypothesis ($H_0$), a researcher is likely to commit which type of error ?
The correct answer is
Type II error
Rejecting Null Hypothesis Error
In hypothesis testing, researchers make decisions about a null hypothesis ($H_0$). Two types of errors can potentially occur:
- Type I Error ($\alpha$): This error happens when a researcher rejects the null hypothesis ($H_0$) even though it is actually true.
- Type II Error ($\beta$): This error occurs when a researcher fails to reject the null hypothesis ($H_0$), but $H_0$ is actually false.
The question specifically asks about the error committed when a researcher decides to reject the null hypothesis ($H_0$).
Following the provided correct answer, rejecting the null hypothesis ($H_0$) is associated with committing a Type II error.
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Important Questions from Hypothesis testing - Teaching
- Which of the following is the condition where χ2\chi^2χ2 (chi-square) should not be applied ?
- Type II error occurs when :
- The null hypothesis that all slope coefficients are simultaneously equal to zero is tested in logit model by:
- The null hypothesis in nonparametric test often _______.
1. Includes specification of a population's parameters
2. Is used to evaluate some general population aspect
3. Is very similar to that used in regression analysis
4. Simultaneously tests more than two population parameters - The _______ test determines whether there is a significant difference between the observed and hypothesized distribution for a sample.
1. Independence
2. Coefficient of determination
3. Correlation analysis
4. Goodness-of-fit
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