e 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. We will find the average and standard deviation for the flights’ times for the random sample of flights. We will use Excel functions to find the critical value(s) that define(s) the rejection region. We will 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. We will use different alpha levels to test the hypothesis. We will fi

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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. We will find the average and standard deviation for the flights’ times for the random sample of flights. We will use Excel functions to find the critical value(s) that define(s) the rejection region. We will 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. We will use different alpha levels to test the hypothesis. We will find the observed level of significance and use it to make conclusions about the claim. We will identify possible errors made and their types. Assume that the distribution of the flight times is normal and the sample is randomly selected.

Flight Duration (Time in the air) in minutes
45.0
42.0
41.0
38.0
41.0
44.0
51.0
47.0
43.0
40.0
46.0
45.0
43.0
44.0
43.0
39.0
44.0
48.0
48.0
51.0
50.0
43.0
41.0
51.0
40.0
45.0
49.0
55.0
41.0
41.0
40.0
41.0
45.0
50.0
47.0
50.0
42.0
46.0
48.0
44.0
42.0
47.0
46.0
48.0
48.0
51.0
48.0
59.0
46.0
47.0
52.0
49.0
50.0
50.0
52.0
49.0
42.0
42.0
43.0
45.0
39.0
49.0
48.0
49.0
43.0
41.0
45.0
43.0
43.0
50.0
42.0
46.0
41.0
47.0
43.0
51.0
48.0
47.0
43.0
50.0
44.0
42.0
56.0
49.0
46.0
44.0
48.0
51.0
51.0
49.0

1) find the Standard Deviation of the flight time for the sample flights

2) identify the degrees of freedom needed to find the critical values?

3) find a one-sided critical value from the appropriate probability table to test the claim at alpha = 0.05 (hint: use the T.INV.2T function with the appropiate alpha level and degrees of freedom)

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