The logic of hypothesis testing is that if we assume that the hypothesized value is the population parameter,then,at the 95% level of confidence,if we took 100 separate samples,the z-value for 95 of those samples would fall between + or - 1.96.

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This statement is true. The 95% level of confidence corresponds to a z-value of +/- 1.96 standard deviations from the mean. Therefore, if we assume the hypothesized value is the population parameter, we can use this z-value to test the hypothesis and determine if the sample results are statistically significant. If we were to take 100 separate samples and use this method, we would expect 95 of them to fall within the range of +/- 1.96.

The Logic of Hypothesis Testing Is That If We Assume