Question

Whole 30 Calorie Counters Standard Deviation 4.20 3.42 2.41 3.06 3.04 2.58 3.48 2.93 2.68 2.02 3.51 1.85 2.79 4.05 2.55 2.87 2.95 2.31 4.56 3.11 3.23 1.85 2.74 4.58 1.71 2.97 4.43 3.13 3.32 4.21 3.29 2.53 3.00 1.40 2.83 2.11 3.82 3.37 2.44 3.30 3.72 Mean Standard Deviation 5.06 4.36 5.13 6.22 6.89 6.89 4.78 3.85 4.30 4.52 5.79 5.25 6.90 4.53 4.03 5.55 5.28 6.25 5.29 5.51 3.51 5.04 4.51 5.51 4.60 4.57 4.53 5.14 3.38 4.98 4.16 6.11 6.68 4.28 4.77 6.37 4.35 4.44 5.21 4.63 3.84 Mean 7.0 10.6 10.6 10.2 7.0 7.0 10.5 10.0 10.4 10.6 Paired Differences Diet Simulation ResultsMICROSOFT EXCEL COMPONENT 2. Paired Difference Experiment: You pair 50 individuals by weight category and randomly assign one individual from each pair to the Whole 30 Diet and the other individual to the Calorie Counters Diet. After one month on the diet, you record the total one-month weight loss. The data is provided in the Excel data file entitled Paired Differences. Compute the average weight loss and standard deviation for each diet separately. Conduct a hypothesis test (Ho: μ,-Ha, α-0.05) examining the differences between groups without taking into account the pairing of individuals. Conduct a hypothesis test (Ho: μ,-Ha, α-0.05) examining the differences between groups with taking into account the pairing of individuals. Do your results differ in parts (b) and (c)? Explain. a. b. c. d.

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Answer #1

I have done the part "a" of the question in the pic that I have attached with "b".

b)

Column1 Column2 Column3
t-Test: Two-Sample Assuming Equal Variances
Variable 1 Variable 2
Mean 9.123809524 6.814285714
Variance 0.632590012 1.485644599
Observations 42 42
Pooled Variance 1.059117305
Hypothesized Mean Difference 0
df 82
t Stat 10.28395243
P(T<=t) one-tail 1.02818E-16
t Critical one-tail 1.663649184
P(T<=t) two-tail 2.05636E-16
t Critical two-tail 1.989318557

Ar cal an 2 2

c)

Column1 Column2 Column3
t-Test: Paired Two Sample for Means
Variable 1 Variable 2
Mean 9.123809524 6.81428571
Variance 0.632590012 1.4856446
Observations 42 42
Pearson Correlation 0.224564186
Hypothesized Mean Difference 0
df 41
t Stat 11.53789178
P(T<=t) one-tail 9.3677E-15
t Critical one-tail 1.682878002
P(T<=t) two-tail 1.87354E-14
t Critical two-tail 2.01954097

1 itM2 ahre of h loss is hofsall hand written conclusions are drawn on the basis of the tables that I have attached with answer "b" and "c",and answer "d" is based on them.

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