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Racheal Folorunsho

Racheal F.

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In a test of the effectiveness of garlic for lowering cholesterol, 49 subjects were treated with raw garlic. Cholesterol levels were measured before and after the treatment. The changes (before minus after) in their levels of LDL cholesterol (in mg/dL) have a mean of 0.4 and a standard deviation of 21.0 (based on data from “Effect of Raw Garlic vs Commercial Garlic Supplements on Plasma Lipid Concentrations in Adults with Moderate Hypercholesterolemia,” by Gardner et al., Archives of Internal Medicine, Vol. 167). Test the claim that with garlic treatment, the mean change in LDL cholesterol is greater than 0. What do the results suggest about the effectiveness of the garlic treatment?

In a test of the effectiveness of garlic for lowering cholesterol, 49 subjects were treated with raw garlic. Cholesterol levels were measured before and after the treatment. The changes (before minus after) in their levels of LDL cholesterol (in mg/dL) have a mean of 0.4 and a standard deviation of 21.0 (based on data from “Effect of Raw Garlic vs Commercial Garlic Supplements on Plasma Lipid Concentrations in Adults with Moderate Hypercholesterolemia,” by Gardner et al., Archives of Internal Medicine, Vol. 167). Test the claim that with garlic treatment, the mean change in LDL cholesterol is greater than 0. What do the results suggest about the effectiveness of the garlic treatment?

Elementary Statistics

Hypothesis Testing

Testing a Claim About a Mean

Questions asked

INSTANT ANSWER

Men Women mu mu 1 mu 2 n 11 59 x overbar 97.63degreesF 97.28degreesF s 0.91degreesF 0.69degreesF construct a a confidence interval suitable for testing the claim that men have a higher mean body temperature than women. using this data

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Men Women mu mu 1 mu 2 n 11 59 x overbar 97.63degreesF 97.28degreesF s 0.91degreesF 0.69degreesF what is the test statistic and p value please use this data

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Diet Regular mu mu 1 mu 2 n 32 32 x overbar 0.78115 lb 0.80772 lb s 0.00442 lb 0.00749 lb use this data and explain and solve the p value and test statistic

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President (cm) 178 183 183 180 180 180 193 183 176 185 182 185 188 194 Opponent (cm) 180 176 187 177 182 181 183 177 182 182 178 192 191 176 use this data and explain what is the linear correlation coefficients

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President (cm) 178 183 183 180 180 180 193 183 176 185 182 185 188 194 Opponent (cm) 180 176 187 177 182 181 183 177 182 182 178 192 191 176 use this data and explain and solve what t statistic and p value is of the data set and linear confidence interval

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Listed below are annual data for various years. The data are weights​ (metric tons) of imported lemons and car crash fatality rates per​ 100,000 population. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using alphaequals0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality​ rates? Do the results suggest that imported lemons cause car​ fatalities? use this data and solve the questions above Lemon_Imports_(x) 230 265 358 482 531 Crash_Fatality_Rate_(y) 15.8 15.7 15.4 15.3 14.8 please construct

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Male 29029 15760 6275 29156 24243 6156 20846 15850 26092 22388 10158 9411 11856 20034 18969 1318 20246 11997 22200 16687 14454 19459 7534 6680 26064 9201 13280 11176 14203 17815 14872 9059 20760 17369 10872 14331 13812 11754 21212 11713 12668 6170 18637 12579 15756 15765 17484 39476 16798 46976 27333 10378 16323 11231 5695 18927 Female 20607 23155 5016 17414 12645 14641 12708 19409 13610 18955 16157 12059 15349 24782 7852 18284 21895 18864 16334 12280 29624 7770 16258 7423 10838 18370 15155 21496 21898 14123 32599 6788 10035 10187 29393 21403 15415 17642 19430 14223 18533 12592 17650 18135 30832 37967 23829 33594 24243 31441 18537 5589 24986 14845 15373 27056 use this data and construct a confidence interval that could be used for the hypothesis test described in part​ (a). What feature of the confidence interval leads to the same conclusion explain and if null hypothesis you can reject or fail to reject

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Male 29029 15760 6275 29156 24243 6156 20846 15850 26092 22388 10158 9411 11856 20034 18969 1318 20246 11997 22200 16687 14454 19459 7534 6680 26064 9201 13280 11176 14203 17815 14872 9059 20760 17369 10872 14331 13812 11754 21212 11713 12668 6170 18637 12579 15756 15765 17484 39476 16798 46976 27333 10378 16323 11231 5695 18927 Female 20607 23155 5016 17414 12645 14641 12708 19409 13610 18955 16157 12059 15349 24782 7852 18284 21895 18864 16334 12280 29624 7770 16258 7423 10838 18370 15155 21496 21898 14123 32599 6788 10035 10187 29393 21403 15415 17642 19430 14223 18533 12592 17650 18135 30832 37967 23829 33594 24243 31441 18537 5589 24986 14845 15373 27056 use this data and explain t statistic and p value and explain significance level 0.05

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Before 10.1 5 10.2 7.4 7.4 8.1 1.9 0.9 After 6.8 2.8 7.3 8.7 8.8 6.8 3.3 2.7 use this data and contruct a confidence interval with 95% using the before and after data

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Before 10.1 5 10.2 7.4 7.4 8.1 1.9 0.9 After 6.8 2.8 7.3 8.7 8.8 6.8 3.3 2.7 use this data and give me the p value and test statistic please explain fully

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