REPORTING AND THESIS WRITING
NULL HYPOTHESIS
Question
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A soccer player wants to see if working with a new coach will improve her field goal percentage. Without a coach, she makes 50% of her shots. The null Hypothesis:Her field goal percentage stays the same after getting a new coach. The t-value of of her sample is 1.925 and the critical value is 1.007.
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The null hypothesis cannot be rejected and the difference is not significant.
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The null hypothesis cannot be rejected and the difference is significant .
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The null hypothesis can be rejected and the difference in performance is significant.
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The null hypothesis can be rejected and the difference in performance is not significant
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Explanation:
Detailed explanation-1: -If the null hypothesis is false, then the probability of a Type II error is called (beta). The probability of correctly rejecting a false null hypothesis equals 1- and is called power.
Detailed explanation-2: -A null hypothesis is a type of conjecture in statistics that proposes that there is no difference between certain characteristics of a population or data-generating process.
Detailed explanation-3: -The first step is to assume that the given statement is true. Next, find the level of significance or the deviation rate. If the result falls within the confidence interval, then the null hypothesis is accepted; however, the hypothesis is rejected if it is outside the confidence interval.
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