The present study shows data for direct flights from Orlando to Miami for one airline. The...

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The present study shows data for direct flights from Orlando to Miami for one airline. The airline claims that the flying time (time in the air) of direct flights from Orlando to Miami takes 45 minutes. The company would like to test the claim and collects a random sample of 90 flights. 1. Find the average and standard deviation for the flights' times for the random sample of flights. 2. Use Excel functions to find the critical value(s) that define(s) the rejection region. 3. Use formulas to find the test statistic, compare it with our critical value(s), and decide if we should reject or not reject the null hypothesis. 4. Use different alpha levels to test the hypothesis - instructions in the Excel file. 5. Find the observed level of significance and use it to make conclusions about the claim. 6. Identify possible errors made and their types. Assume that the distribution of the flight times is normal and the sample is randomly selected. The present study shows data for direct flights from Orlando to Miami for one airline. The airline claims that the flying time (time in the air) of direct flights from Orlando to Miami takes 45 minutes. The company would like to test the claim and collects a random sample of 90 flights. 1. Find the average and standard deviation for the flights' times for the random sample of flights. 2. Use Excel functions to find the critical value(s) that define(s) the rejection region. 3. Use formulas to find the test statistic, compare it with our critical value(s), and decide if we should reject or not reject the null hypothesis. 4. Use different alpha levels to test the hypothesis - instructions in the Excel file. 5. Find the observed level of significance and use it to make conclusions about the claim. 6. Identify possible errors made and their types. Assume that the distribution of the flight times is normal and the sample is randomly selected.