Sibling IQ Scores: There have been numerous studies involving the correlation and differences in IQ's among siblings. Here we consider a small example of such a study. We will test the claim that, on average, older siblings have a higher IQ than their younger sibling. The results are depicted for a sample of 10siblings in the table below. Test the claim at the 0.01 significance level. You may assume the sample of differences comes from a normally distributed population.
Pair ID | Older Sibling IQ (x) | Younger Sibling IQ(y) | difference (d = x − y) |
1 | 86 | 84 | 2 |
2 | 89 | 92 | -3 |
3 | 93 | 89 | 4 |
4 | 94 | 94 | 0 |
5 | 101 | 97 | 4 |
6 | 106 | 104 | 2 |
7 | 107 | 107 | 0 |
8 | 112 | 111 | 1 |
9 | 116 | 110 | 6 |
10 | 123 | 115 | 8 |
Mean | 102.7 | 100.3 | 2.4 |
s | 12.2 | 10.5 | 3.2 |
If you are using software, you should be able copy and paste the
data directly into your software program.
(a) The claim is that the mean difference is positive (μd > 0). What type of test is this?
This is a right-tailed test.This is a two-tailed test. This is a left-tailed test.
(b) What is the test statistic? Round your answer to 2
decimal places.
td =
To account for hand calculations -vs- software, your answer
must be within 0.01 of the true answer.
(c) Use software to get the P-value of the test statistic.
Round to 4 decimal places.
P-value =
Data Summary
n | Mean (M) | Variance (SS) | Standard Deviation (SD) | |
Older Sibling IQ | 10 | 102.7 | 149.3445 | 12.2207 |
Younger Sibling IQ | 10 | 100.3 | 110.6778 | 10.5204 |
a) The null and alternative hypotheses
are
Ho : μd ≤ 0 μd is the
difference μ1 - μ2
Ha : μd > 0
This is a right-tailed test
b) We use independent Samples T test since population
standard deviation is unknown, and sample size is small
Using the formulae given below, we get
Degrees of Freedom
df1 = n1 - 1 df2 = n2 - 1 df = n1 + n2 - 2
df1 = 9 df2 = 9
df = 18
Pooled Variance Sp²
Sp² = 130.0111
Mean Squared Error S(M1-M2)
S(M1-M2) = 5.0992
t-statistic
td = 0.47
c) For t = 0.47, df = 18 we find the Right Tailed
p-value using Excel function t.dist
p-value = 1 - t.dist(0.4707, 18, TRUE)
p-value = 0.3218
Let the significance level α = 0.05
Decision
0.3218 > 0.05
that is p-value > α
Hence we DO NOT REJECT Ho
Conclusion
There does not exist enough statistical evidence at α
= 0.05 to show that
the mean difference is positive
In other words,
older siblings need not have higher IQ than their
younger siblings
Sibling IQ Scores: There have been numerous studies involving the correlation and differences in IQ's among...
Sibling IQ Scores: There have been numerous studies involving the correlation and differences in IQ's among siblings. Here we consider a small example of such a study. We will test the claim that, on average, older siblings have a higher IQ than their younger sibling. The results are depicted for a sample of 10 siblings in the table below. Test the claim at the 0.05 significance level. You may assume the sample of differences comes from a normally distributed population....
Sibling IQ Scores: There have been numerous studies involving the correlation and differences in IQ's among siblings. Here we consider a small example of such a study. We will test the claim that, on average, older siblings have a higher IQ than their younger sibling. The results are depicted for a sample of 10 siblings in the table below. Test the claim at the 0.01 significance level. You may assume the sample of differences comes from a normally distributed population....
Sibling IQ Scores (Raw Data, Software Required): There have been numerous studies involving the correlation and differences in IQ's among siblings. Here we consider a small example of such a study. We will test the claim that, on average, older siblings have a higher IQ than their younger sibling. The results are depicted for a sample of 10 siblings in the table below. Test the claim at the 0.05 significance level. You may assume the sample of differences comes from...
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