The larger the calculated z-grit value, the more likely we are to a. Conclude that our result is not statistically significant b. Retain the null hypothesis e. Reject the null hypothesis
The larger the calculated z-grit value, the more likely we are to a. Conclude that our result is not statistically significant b. Retain the null hypothesis e. Reject the null hypothesis
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 1SE: What term is used to express the likelihood of an event occurring? Are there restrictions on its...
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Step 1
Critical value:
In hypothesis testing, a critical value is a point on the test distribution that is compared to the test statistic to determine whether to reject the null hypothesis. If the calculated value of the test statistic is greater than the critical value, you can declare statistical significance and reject the null hypothesis. Critical values correspond to α.
Step 2
The critical region of two tailed normal distribution for α= 0.1 is given as follows:
The null hypothesis is rejected if test statistic value is less than –1.645 or greater than 1.645.
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