Question

Foot-Length (Raw Data, Software Required):
It has been claimed that, on average, right-handed people have a left foot that is larger than the right foot. Here we test this claim on a sample of 10 right-handed adults. The table below gives the left and right foot measurements in millimeters (mm). Test the claim at the 0.01 significance level. You may assume the sample of differences comes from a normally distributed population.

Person	Left Foot (x)	Right Foot (y)
1	270	269
2	265	264
3	256	258
4	252	251
5	258	255
6	270	270
7	269	267
8	255	253
9	270	269
10	252	250

You should be able copy and paste the data directly into your software program.

(a) The claim is that the mean difference (x - y) is positive (μ_d > 0). What type of test is this?

-This is a two-tailed test.

-This is a left-tailed test.

-This is a right-tailed test.

(b) What is the test statistic? Round your answer to 2 decimal places.
t-_d =

(c) What is the P-value of the test statistic? Round to 4 decimal places.
P-value =

(d) What is the conclusion regarding the null hypothesis?

-reject H₀

-fail to reject H₀    

(e) Choose the appropriate concluding statement.

-The data supports the claim that, on average, right-handed people have a left foot that is larger than the right foot.

-There is not enough data to support the claim that, on average, right-handed people have a left foot that is larger than the right foot.    

-We reject the claim that, on average, right-handed people have a left foot that is larger than the right foot.

-We have proven that, on average, right-handed people have a left foot that is larger than the right foot.

Answer 1

The statistic software output for this problem is:

(a)

This is a right-tailed test.

(b)

Test statistic = 2.54

(c)

P-value = 0.0159

(d)

fail to reject H₀    

(e)

There is not enough data to support the claim that, on average, right-handed people have a left foot that is larger than the right foot.