Downtown Rural JAN 36 33 FEB 40 35 MAR 48 44 APR 63 59 MAY 75...

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Downtown Rural JAN 36 33 FEB 40 35 MAR 48 44 APR 63 59 MAY 75 70 JUN 82 77 JUL 85 81 AUG 84 79 SEP 78 74 OCT 69 62 NOV 54 47 DEC 41 36 The two samples are: "Downtown" and "Rural". Using these data, calculate two separate one-sample t-tests (one for each sample) to see how the 'Downtown' and 'Rural' samples compare to the population mean at Lambert International Airport, which is 61.38°F. 6) Calculate the sample means for Downtown and Rural. Here are the standard deviations for your calculations: Downtown SD = 18.44 Rural SD = 18.35 NOTE: we are testing to see whether or not there is a statistically significant difference in the means. We are NOT specifying the direction (> or <) of that difference. Test using significance levels of: 0.01 and 0.05. NOTE: take the absolute value of your calculated t-value when comparing it to your t-critical value. A negative t-value only means that the sample mean was less than the population mean. For example: if you calculate a t-value of -2.91, use the absolute value (2.91) as the value to compare to the t-critical value (see the small print at the bottom of p.98 in your text for more info). 6a) Construct null and alternate/research hypotheses for each test. 6b] What is your t-critical value? [at the 1% and 5% significance levels] 6c] What are your calculated t-values for each test? Downtown = Rural = Downtown Rural JAN 36 33 FEB 40 35 MAR 48 44 APR 63 59 MAY 75 70 JUN 82 77 JUL 85 81 AUG 84 79 SEP 78 74 OCT 69 62 NOV 54 47 DEC 41 36 The two samples are: "Downtown" and "Rural". Using these data, calculate two separate one-sample t-tests (one for each sample) to see how the 'Downtown' and 'Rural' samples compare to the population mean at Lambert International Airport, which is 61.38°F. 6) Calculate the sample means for Downtown and Rural. Here are the standard deviations for your calculations: Downtown SD = 18.44 Rural SD = 18.35 NOTE: we are testing to see whether or not there is a statistically significant difference in the means. We are NOT specifying the direction (> or <) of that difference. Test using significance levels of: 0.01 and 0.05. NOTE: take the absolute value of your calculated t-value when comparing it to your t-critical value. A negative t-value only means that the sample mean was less than the population mean. For example: if you calculate a t-value of -2.91, use the absolute value (2.91) as the value to compare to the t-critical value (see the small print at the bottom of p.98 in your text for more info). 6a) Construct null and alternate/research hypotheses for each test. 6b] What is your t-critical value? [at the 1% and 5% significance levels] 6c] What are your calculated t-values for each test? Downtown = Rural =

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60 The Null Research hypothesis for each test is 0 For Downtown ... View the full answer