Section 4.3: Determining Statistical Significance I only need help with the last two at the bottom Example 1: Red Wine and Weight Loss Resveratrol, an ingredient in red wine and grapes, has been shown to promote weight loss in animals. In one study, a sample of lemurs had various measurements taken before and after receiving resveratrol supplements for 4 weeks. For each p-value given, indicate the formal generic conclusion as well as a conclusion in context. Use a 5% significance level. a). In the test to see if the mean resting metabolic rate is higher after treatment, the p-value is 0.013. P-value (0.013) is Less then the level significance 0.05. We reject the null hypothesis. The conclusion is that the mean resting metabolic rate is higher after treatment. b). In the test to see if the mean body mass is lower after treatment, the p-value is 0.007. P-value (0.007) is less than the level of significance 0.05, thus we reject the null. The conclusion is that the mean body mass is lower after treatment. c). In the test to see if locomotor activity changes after treatment, the p-value is 0.980. P-value (0.980) is greater than the level of significance 0.05, thus fail to reject the null hypothesis. The conclusion is that Locomotors activity does not change after treatment. d). In the test to see if mean food intake changes after treatment, the p-value is 0.035. e). Which of the results given in (a) – (d) above are significant at a 1% level?
Section 4.3: Determining Statistical Significance
I only need help with the last two at the bottom
Example 1: Red Wine and Weight Loss
Resveratrol, an ingredient in red wine and grapes, has been shown to promote weight loss in animals. In one study, a sample of lemurs had various measurements taken before and after receiving resveratrol supplements for 4 weeks. For each p-value given, indicate the formal generic conclusion as well as a conclusion in context. Use a 5% significance level.
a). In the test to see if the
P-value (0.013) is Less then the level significance 0.05. We reject the null hypothesis. The conclusion is that the mean resting metabolic rate is higher after treatment.
b). In the test to see if the mean body mass is lower after treatment, the p-value is 0.007.
P-value (0.007) is less than the level of significance 0.05, thus we reject the null. The conclusion is that the mean body mass is lower after treatment.
c). In the test to see if locomotor activity changes after treatment, the p-value is 0.980.
P-value (0.980) is greater than the level of significance 0.05, thus fail to reject the null hypothesis. The conclusion is that Locomotors activity does not change after treatment.
d). In the test to see if mean food intake changes after treatment, the p-value is 0.035.
e). Which of the results given in (a) – (d) above are significant at a 1% level?
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