TABLE 7-59 Cholesterol Levels by Treatment Sample Mean Std Dev Diet Program Cholesterol Cholesterol Size Low carbohydrate 225.4 24.5 50 Conventional 75 203.8 21.6 15. A study is conducted to compare mean cholesterol conventional (low-fat, low-calorie) diet for at least 6 months. The data are summarized in Table 7-59. levels for individuals following a low-carbohydrate diet for at least 6 months to individuals following a onventional (low-fat, low-calorie) diet for at least k months. The data are summarized in Table 7-59. Test if there is a significant difference in mean cho- lesterol levels between the diet programs using a 5% level of significance. 16. Another outcome variable in the study described in Problem 15 is hypercholesterolemia, defined as total cholesterol over 220. Among the individuals who follow the low-carbohydrate diet, 56% are hypercholesterolemic, and among the individu- als who follow the conventional diet, 40% are hypercholesterolemic. Test if there is a significant difference in the proportions using a 5% level of significance. 1 characteristics

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TABLE 7-59 Cholesterol Levels by Treatment
Sample
Mean
Std Dev
Diet Program
Cholesterol Cholesterol
Size
Low carbohydrate
225.4
24.5
50
Conventional
75
203.8
21.6
Transcribed Image Text:TABLE 7-59 Cholesterol Levels by Treatment Sample Mean Std Dev Diet Program Cholesterol Cholesterol Size Low carbohydrate 225.4 24.5 50 Conventional 75 203.8 21.6
15. A study is conducted to compare mean cholesterol
conventional (low-fat, low-calorie) diet for at least
6 months. The data are summarized in Table 7-59.
levels for individuals following a low-carbohydrate
diet for at least 6 months to individuals following a
onventional (low-fat, low-calorie) diet for at least
k months. The data are summarized in Table 7-59.
Test if there is a significant difference in mean cho-
lesterol levels between the diet programs using a 5%
level of significance.
16. Another outcome variable in the study described
in Problem 15 is hypercholesterolemia, defined as
total cholesterol over 220. Among the individuals
who follow the low-carbohydrate diet, 56% are
hypercholesterolemic, and among the individu-
als who follow the conventional diet, 40% are
hypercholesterolemic. Test if there is a significant
difference in the proportions using a 5% level of
significance.
1 characteristics
Transcribed Image Text:15. A study is conducted to compare mean cholesterol conventional (low-fat, low-calorie) diet for at least 6 months. The data are summarized in Table 7-59. levels for individuals following a low-carbohydrate diet for at least 6 months to individuals following a onventional (low-fat, low-calorie) diet for at least k months. The data are summarized in Table 7-59. Test if there is a significant difference in mean cho- lesterol levels between the diet programs using a 5% level of significance. 16. Another outcome variable in the study described in Problem 15 is hypercholesterolemia, defined as total cholesterol over 220. Among the individuals who follow the low-carbohydrate diet, 56% are hypercholesterolemic, and among the individu- als who follow the conventional diet, 40% are hypercholesterolemic. Test if there is a significant difference in the proportions using a 5% level of significance. 1 characteristics
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Hi! Thank you for posting the question. Since you have posted multiple questions, we are answering first question. If you need help with any other question, please re-post the question and mention the part you need help with.

The aim is to check whether there is difference in mean cholesterol levels between the diet programs using a 5% level of significance.

The null and alternative hypotheses are:

Here, µ1 is the average cholesterol level during low carbohydrate diet, and µ2 is the average cholesterol level during conventional diet.

H0:μ1=μ2H1:μ1μ2

It is assumed that variances are not equal.

The formula for test statistic for non pooled variance is as follows

tcalc=x1¯-x2¯s12n1+s22n2where, df=s12n1+s22n22s12n12n1-1+s22n22n2-1

Where y1-bar and y2-bar are the sample means.

(µ1-µ2)0 is the difference between hypothesized mean, s1 and s2 are the sample standard deviation.

n1 and n2 are the two sample sizes.

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