Respuesta :

  • According to the question,
  • Given data,
  • The p-value for a hypothesis test turns out to be 0.07702. at1%level of significance,
  • We know that
  • The highest value of percentage is 100
  • 1%=0.07702
  • Then the value at 1% level of significance.
  • 0.07702×100
  • =7.702

7.702 is the proper decision.

What exactly is a p-value?

  • The p-value (probability value) indicates how likely the data are to occur under the null hypothesis. To do this, the probability of the test statistic is computed. H. Numbers calculated by statistical tests using your data.
  • The p-value indicates how often you would expect the test statistic to be extreme, or more extreme than the statistic computed by the statistical test, if the null hypothesis for the test were true. The p-value decreases as the test statistic computed from the data moves away from the range of the test statistic predicted by the null hypothesis.
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  • p-value
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