Table 1.. Anthropometric and body composition characteristics (mean s.d.)

Lean women (n= 10)

Obese women (n= 10)

P

Age (y)

39.6 5.9

38.5 6.1

0.68

Height (cm)

169 5

167 5

0.42

Day 1 wt (kg)

65.7 4.7

91.2 9.4

<0.001

Wt change (day 1-14, kg)

0.6 1.3

0.6 1.1

0.96

BMI (kg/m2)

23.0 1.6

32.7 3.1

<0.001

Waist circumference (cm)

74.1 5.0

97.3 7.0

<0.001

Abdomen circumference (cm)

83.9 6.3

111.1 7.1

<0.001

Hip circumference (cm)

98.5 4.1

118.3 5.1

<0.001

Waist/hip ratio

0.75 0.05

0.82 0.05

0.008

Fatfree mass (DXA, kg)

44.9 3.5

51.0 3.0

<0.001

Fat mass (DXA, kg)

17.1 3.5

36.2 6.7

<0.001

Percent (%) fat

26.5 4.4

40.1 3.7

<0.001

What trends do you notice in your data set?

Based on the trends and the history of your data set, make a claim. What kind of test (left, right, two tailed) would you have to complete? Explain the steps needed to complete the Hypothesis Test. What is needed?

1. Choose hypothesis (H) and the alternative hypothesis (H):

Null Hypothesis (H): mean and Alternative Hypothesis (H): mean

Observation: Is it right or left tail?

2. Use the significance level (alpha)

3. Compute the test statistic, z-score (Z)

4. Find the critical value using the alpha from Step 2.

5.Interpreting the results of the hypothesis test I compare Step 3 to Step 4 to either Reject H or Fail to Reject H.

6. HYPOTHESIS is rejected or not rejected? Why?