In: Statistics and Probability
9. Listed in the data table are amounts of strontium-90 (in millibecquerels, or mBq, per gram of calcium) in a simple random sample of baby teeth obtained from residents in two cities. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Complete parts (a) and (b) below.
City_#1 City_#2
104 117
86 92
121 100
114 85
101 84
104 107
213 110
144 111
290 135
100 133
306 101
145 209
The test statistic is ____
(Round to two decimal places as needed.)
The P-value is ____
(Round to three decimal places as needed.)
State the conclusion for the test.
A.Fail to reject the null hypothesis. There is sufficient evidence to support the claim that archbishops have lower mean longevity than monarchs.
B.Reject the null hypothesis. There is not sufficient evidence to support the claim that archbishops have lower mean longevity than monarchs.
C.Reject the null hypothesis. There is sufficient evidence to support the claim that archbishops have lower mean longevity than monarchs.
D.Fail to reject the null hypothesis. There is not sufficient evidence to support the claim that archbishops have lower mean longevity than monarchs.
b. Construct a confidence interval suitable for testing the claim that the mean longevity for archbishops is less than the mean for monarchs after coronation.
___<µ1-µ2<____
(Round to three decimal places as needed.)
Does the confidence interval support the conclusion of the test?
(No,Yes,) because the confidence interval contains (only negative values., zero, only positive values.)
City 1 | City 2 |
104 | 117 |
86 | 92 |
121 | 100 |
114 | 85 |
101 | 84 |
104 | 107 |
213 | 110 |
144 | 111 |
290 | 135 |
100 | 133 |
306 | 101 |
145 | 209 |
In this question, we will take the 2-sample T-Test using unequal variances. I'm assuming that the motive behind this test is to see if there is any statistically significant difference between the amounts of strontium-90 in the baby teeth of the kids of both the cities. Therefore, we will take the hypothesized mean difference to be equal to 0 i.e.
The null hypothesis will be given as the average amount of strontium-90 in the baby teeth of the children of both the cities is equal i.e. 1-2 = 0.
Alternate hypothesis: 1-2 0. Therefore, it's a two-tail T-test.
Though their are formulas to solve this T-test for unequal variances, we can simply use Excel to solve it for us. In Excel, go to Data Solver > T-Test assuming unequal variances > Enter the data variables, keep the hypothesized mean difference as 0 and select the value of = 0.05.
You will get the following result:
t-Test: Two-Sample Assuming Unequal Variances | ||
City 1 | City 2 | |
Mean | 152.3333333 | 115.3333333 |
Variance | 5751.515152 | 1134.424242 |
Observations | 12 | 12 |
Hypothesized Mean Difference | 0 | |
df | 15 | |
t Stat | 1.544581216 | |
P(T<=t) one-tail | 0.071640256 | |
t Critical one-tail | 1.753050356 | |
P(T<=t) two-tail | 0.143280511 | |
t Critical two-tail | 2.131449546 |
Here, you can see that the T-statistic for the data is 1.545(rounded) and the p-value is 0.14(since this is a two-tail test).
Thus, the result of this test is that there is no statistically significant evidence that the null hypothesis is true i.e. we fail to reject the null hypothesis. In other words, you can say that there is no statistically significant evidence that the average amount of strontium-90 in the baby teeth of the populations in the two cities is equal.