Math  /  Data & Statistics

QuestionTriglycerides are a form of fat found in the body. Using data from a certain organization, determine whether men have higher triglyceride levels than women. a. Report the sample means and state which group had the higher sample mean triglyceride level. Refer to the Minitab output in figure (A). b. Carry out a hypothesis test to determine whether men have a higher mean triglyceride level than women. Assume that all necessary conditions for carrying out a hypothesis test hold. Refer to the Minitab output provided in figure (A). Output for three different alternative hypotheses is provided-see figures (B), (C), and (D)-and you must choose and state the most appropriate output. Use a significance level of 0.05 a. The sample mean for the women was \square . (Type an integer or a decimal.)
Minitab Output (A) (B)
B: T-Test of difference =0(=0( vs << ); T-Value =2.60P=-2.60 \quad P-value =0.006=0.006 (C)
C: T-Test of difference =0(=0( vs >):>): T-Value =2.60P=-2.60 \quad P-value =0.994=0.994 (D)
D: T-Test of difference =0(=0( vs )\neq) : T-Value =2.60=-2.60 \quad P-value =0.011=0.011 Clear all Check answer

Studdy Solution

STEP 1

What is this asking? Do men have higher triglyceride levels than women, and can we prove it statistically? Watch out! Don't mix up the means for men and women, and make sure you pick the right hypothesis test!
Also, understand *why* we're doing each step.

STEP 2

1. Find the sample means.
2. State which group has the higher sample mean.
3. Select the correct hypothesis test.
4. Interpret the results.

STEP 3

Alright, let's **locate** those sample means!
The problem gives us the Minitab output, which shows the **sample mean** for women is 84.384.3 and for men it's 114.1114.1.

STEP 4

Comparing the **means**, we see that 114.1114.1 is **greater** than 84.384.3.
So, men have the higher sample mean triglyceride level.

STEP 5

We're testing if men have a *higher* mean triglyceride level than women.
This means we're looking for a **one-tailed test** where the **alternative hypothesis** is that the difference (women minus men) is *less than* zero.
That's because if men have higher levels, subtracting the men's mean from the women's mean will result in a negative number.

STEP 6

Looking at the Minitab output, option (B) is the one we need: "T-Test of difference =0= 0 (vs <<)".
This corresponds to our **alternative hypothesis**.
Options (C) and (D) test for a greater than or not-equal-to relationship, which isn't what we're looking for.

STEP 7

The output for option (B) gives us a **T-value** of 2.60-2.60 and a **P-value** of 0.0060.006.
Since our **significance level** is 0.050.05, and our **P-value** (0.0060.006) is *less than* 0.050.05, we **reject the null hypothesis**.

STEP 8

This means there's **strong evidence** to suggest that men *do* have a higher mean triglyceride level than women!

STEP 9

The sample mean for women is **84.3**.
Men have the higher sample mean.
Using the results from the T-test (option B), we reject the null hypothesis and conclude that men have a statistically significantly higher mean triglyceride level than women.

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