Question

In: Statistics and Probability

Anemia (low healthy blood cells or hemoglobin) has an important role in exercise performance. However, the...

Anemia (low healthy blood cells or hemoglobin) has an important role in exercise performance. However, the direct link between rapid changes of hemoglobin and exercise performance is still unknown. A study investigated 18 patients with a blood disorder (beta-thalassemia). Participants in the study performed an exercise test before and the day after receiving a blood transfusion. Data are given in the table.

ID

Change in HB

Obese

RER > 1.1

1

-1.4

No

No

2

-1.5

No

No

3

-2

No

Yes

4

-2.1

No

No

5

-1.9

Yes

Yes

6

-1.6

Yes

No

7

-1.8

No

Yes

8

-0.8

No

Yes

9

-1

No

No

10

-1.2

No

Yes

11

-0.8

No

No

12

-1.5

Yes

No

13

-1.4

No

Yes

14

-2.6

No

Yes

15

-1.7

No

Yes

16

-2.6

No

Yes

17

-2.7

Yes

No

18

-1.5

Yes

No

2. Is obesity associated with a RER greater than 1.1?

a. State the Null Hypothesis

b. Which test statistic would you use and what is the observed value

c. What conclusion would you reach (justify)?

          

Solutions

Expert Solution

Is obesity associated with a RER greater than 1.1?

a.

Null Hypothesis: Obesity and RER > 1.1 are associated.

b. Which test statistic would you use and what is the observed value

Since we are dealing with the categorical variable, the chi-square statistic is used to test the hypothesis,

The Chi-square test of independence is performed to test the association between Obesity and RER > 1.1

Step 1: The observed values are,

RER>1.1
Obesity No Yes Total
No 5 8 13
Yes 4 1 5
Total 9 9 18

Step 2: The expected values are obtained using the formula,

RER>1.1
Obesity No Yes Total
No 13
Yes 5
Total 9 9 18

Step 3: The Chi-Square Value is obtained using the formula

Step 4: The critical value for the chi-square statistic is obtained from the chi-square distribution table for,

Where r is the number of rows and c is the number of columns in the table.

For significance level = 0.05 and degree of freedom = 1, the critical value is,

Step 5: Since the chi-square value is less than the critical value, It can be concluded that the null hypothesis is not rejected at a 5% significance level.

c)

Hence both the variables Obesity and RER > 1.1 are independent.


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