et x be a random variable that represents the percentage of successful free throws a professional basketball player makes in a season. Let y be a random variable that represents the percentage of successful field goals a professional basketball player makes in a season. A random sample of n = 6 professional basketball players gave the following information. x 83 85 78 79 78 71 y 56 46 48 52 47 41 Given that Se ≈ 4.558, a ≈ 16.847, b ≈ 0.413, a critical value of 1.555, and , use a 1% level of significance to find the P-Value for when β is greater than zero. Since the P-Value is equal to α = 0.01, we reject the null hypothesis that the population slope β is not zero in favor of the alternate hypothesis that the population slope β is greater than zero. Since the P-Value is greater than α = 0.01, we reject the null hypothesis that the population slope β is not zero in favor of the alternate hypothesis that the population slope β is greater than zero. Since the P-Value is less than α = 0.01, we reject the null hypothesis that the population slope β is not zero in favor of the alternate hypothesis that the population slope β is greater than zero. Since the P-Value is equal to α = 0.01, we fail to reject the null hypothesis that the population slope β is not zero in favor of the alternate hypothesis that the population slope β is greater than zero. Since the P-Value is greater than α = 0.01, we fail to reject the null hypothesis that the population slope β is not zero in favor of the alternate hypothesis that the population slope β is greater than zero.
Let x be a random variable that represents the percentage of successful free throws a professional basketball player makes in a season. Let y be a random variable that represents the percentage of successful field goals a professional basketball player makes in a season. A random sample of n = 6 professional basketball players gave the following information.
|
x |
83 |
85 |
78 |
79 |
78 |
71 |
|
y |
56 |
46 |
48 |
52 |
47 |
41 |
Given that Se ≈ 4.558, a ≈ 16.847, b ≈ 0.413, a critical value of 1.555, and , use a 1% level of significance to find the P-Value for when β is greater than zero.
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Since the P-Value is equal to α = 0.01, we reject the null hypothesis that the population slope β is not zero in favor of the alternate hypothesis that the population slope β is greater than zero. |
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Since the P-Value is greater than α = 0.01, we reject the null hypothesis that the population slope β is not zero in favor of the alternate hypothesis that the population slope β is greater than zero. |
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Since the P-Value is less than α = 0.01, we reject the null hypothesis that the population slope β is not zero in favor of the alternate hypothesis that the population slope β is greater than zero. |
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Since the P-Value is equal to α = 0.01, we fail to reject the null hypothesis that the population slope β is not zero in favor of the alternate hypothesis that the population slope β is greater than zero. |
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|
Since the P-Value is greater than α = 0.01, we fail to reject the null hypothesis that the population slope β is not zero in favor of the alternate hypothesis that the population slope β is greater than zero. |
Given that Se ≈ 4.558, a ≈ 16.847, b ≈ 0.413, a critical value of 1.555, and , use a 1% level of significance.
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