A random sample of
n1 = 49
measurements from a population with population standard deviation
σ1 = 5
had a sample mean of
x1 = 15.
An independent random sample of
n2 = 64
measurements from a second population with population standard deviation
σ2 = 6
had a sample mean of
x2 = 18.
Test the claim that the population means are different. Use level of significance 0.01.(a) Check Requirements: What distribution does the sample test statistic follow? Explain.
The Student's t. We assume that both population distributions are approximately normal with known standard deviations.The standard normal. We assume that both population distributions are approximately normal with unknown standard deviations. The standard normal. We assume that both population distributions are approximately normal with known standard deviations.The Student's t. We assume that both population distributions are approximately normal with unknown standard deviations.
(b) State the hypotheses.
H0: μ1 ≠ μ2; H1: μ1 = μ2H0: μ1 = μ2; H1: μ1 > μ2 H0: μ1 = μ2; H1: μ1 < μ2H0: μ1 = μ2; H1: μ1 ≠ μ2
(c) Compute
x1 − x2.
x1 − x2 =
Compute the corresponding sample distribution value. (Test the
difference μ1 − μ2. Round your answer to two
decimal places.)
(d) Find the P-value of the sample test statistic. (Round
your answer to four decimal places.)
(e) Conclude the test.
At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.
(f) Interpret the results.
Reject the null hypothesis, there is insufficient evidence that there is a difference between the population means.Reject the null hypothesis, there is sufficient evidence that there is a difference between the population means. Fail to reject the null hypothesis, there is insufficient evidence that there is a difference between the population means.Fail to reject the null hypothesis, there is sufficient evidence that there is a difference between the population means.
a)
The standard normal. We assume that both population distributions are approximately normal with known standard deviations.
b)
H0: μ1 = μ2; H1: μ1 ≠ μ2
c)
z = (x1-x2)/sqrt(s1^2/n1+s2^2/n2)
= ( 15 - 18)/sqrt(5^2/49 + 6^2/64)
= -2.90
d)
p value = 0.0038
e)
.At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.
f)
Reject the null hypothesis, there is sufficient evidence that there is a difference between the population means
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