Let’s explore how changing the sample size while fixing all of the other parameters in the hypothesis test impacts the likelihood of rejecting the null hypothesis.  Instead of a sample size of 100, let’s suppose we got the same sample proportion from a sample of 1000 local customers.   Conduct a hypothesis test at the .08 level of significance to test the claim that the population proportion of local customers who rate their service ABOVE AVERAGE is more than the national proportion (82%).      Check that we can use the normal distribution to approximate the distribution of the sample statistic (the sample proportion). Remember that the sample size has changed. np = _______       nq = _______   State hypotheses.   HO:               Ha:

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Let’s explore how changing the sample size while fixing all of the other parameters in the hypothesis test impacts the likelihood of rejecting the null hypothesis.  Instead of a sample size of 100, let’s suppose we got the same sample proportion from a sample of 1000 local customers.

 

Conduct a hypothesis test at the .08 level of significance to test the claim that the population proportion of local customers who rate their service ABOVE AVERAGE is more than the national proportion (82%). 

 

 

  1. Check that we can use the normal distribution to approximate the distribution of the sample statistic (the sample proportion). Remember that the sample size has changed.

np = _______

      nq = _______

 

  1. State hypotheses.

 

HO:

 

            Ha:

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