The mean throwing distance of a football for Marco, a high school freshman quarterback, is 40 yards, with a standard deviation of two yards. The team coach tells Marco to adjust his grip to get more distance. The coach records the distances for 20 throws. For the 20 throws, Marcos mean distance was 45 yards. The coach thought the different grip helped Marco throw farther than 40 yards. Conduct a hypothesis test using a preset a = 0.05. Assume the throw distances for footballs are normal. First, determine what type of test this Is, set up the hypothesis test, find the p-value, sketch the graph, and state your conclusion. [} Using the T1-83, 83+. 84, 84+ Calculator Press STAT and arrow over to TESTS. Press l:Z-Test. Arrow over to Stats and press ENTER. Arrow down and enter 40 for p0 (null hypothesis), 2 for a. 45 for the sample mean, and 20 for n. Arrow down to p: (alternative hypothesis) and set it either as <, ≠ or >.. Press ENTER. Arrow down to Calculate and press ENTER. The calculator not only calculates the p-value but ft also calculates the test statistic (z-score) for the sample mean. Select <, ≠ or > for the alternative hypothesis. Do this set of instructions again except arrow to Draw (instead of Calculate). Press ENTER. A shaded graph appears with test statistic and p-value. Make sure when you use Draw that no other equations are highlighted In Y = and the plots are turned off.
The mean throwing distance of a football for Marco, a high school freshman quarterback, is 40 yards, with a standard deviation of two yards. The team coach tells Marco to adjust his grip to get more distance. The coach records the distances for 20 throws. For the 20 throws, Marcos mean distance was 45 yards. The coach thought the different grip helped Marco throw farther than 40 yards. Conduct a hypothesis test using a preset a = 0.05. Assume the throw distances for footballs are normal. First, determine what type of test this Is, set up the hypothesis test, find the p-value, sketch the graph, and state your conclusion. [} Using the T1-83, 83+. 84, 84+ Calculator Press STAT and arrow over to TESTS. Press l:Z-Test. Arrow over to Stats and press ENTER. Arrow down and enter 40 for p0 (null hypothesis), 2 for a. 45 for the sample mean, and 20 for n. Arrow down to p: (alternative hypothesis) and set it either as <, ≠ or >.. Press ENTER. Arrow down to Calculate and press ENTER. The calculator not only calculates the p-value but ft also calculates the test statistic (z-score) for the sample mean. Select <, ≠ or > for the alternative hypothesis. Do this set of instructions again except arrow to Draw (instead of Calculate). Press ENTER. A shaded graph appears with test statistic and p-value. Make sure when you use Draw that no other equations are highlighted In Y = and the plots are turned off.
The mean throwing distance of a football for Marco, a high school freshman quarterback, is 40 yards, with a standard deviation of two yards. The team coach tells Marco to adjust his grip to get more distance. The coach records the distances for 20 throws. For the 20 throws, Marcos mean distance was 45 yards. The coach thought the different grip helped Marco throw farther than 40 yards. Conduct a hypothesis test using a preset a = 0.05. Assume the throw distances for footballs are normal.
First, determine what type of test this Is, set up the hypothesis test, find the p-value, sketch the graph, and state your conclusion.
[} Using the T1-83, 83+. 84, 84+ Calculator
Press STAT and arrow over to TESTS. Press l:Z-Test. Arrow over to Stats and press ENTER. Arrow down and enter 40 for p0 (null hypothesis), 2 for a. 45 for the sample mean, and 20 for n. Arrow down to p: (alternative hypothesis) and set it either as <,
≠
or >.. Press ENTER. Arrow down to Calculate and press ENTER. The calculator not only calculates the p-value but ft also calculates the test statistic (z-score) for the sample mean. Select <,
≠
or > for the alternative hypothesis. Do this set of instructions again except arrow to Draw (instead of Calculate). Press ENTER. A shaded graph appears with test statistic and p-value. Make sure when you use Draw that no other equations are highlighted In Y = and the plots are turned off.
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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