Question

A random sample of n1 = 10 regions in New England gave the following violent crime...

A random sample of n1 = 10 regions in New England gave the following violent crime rates (per million population).

x1: New England Crime Rate

 3.5 3.7 4.2 4.1 3.3 4.1 1.8 4.8 2.9 3.1

Another random sample of n2 = 12 regions in the Rocky Mountain states gave the following violent crime rates (per million population).

x2: Rocky Mountain Crime Rate

 3.9 4.1 4.5 5.1 3.3 4.8 3.5 2.4 3.1 3.5 5.2 2.8

Assume that the crime rate distribution is approximately normal in both regions.

(i) Use a calculator to calculate x1, s1, x2, and s2. (Round your answers to three decimal places.)

 x1 = s1 = x2 = s2 =

(ii) Do the data indicate that the violent crime rate in the Rocky Mountain region is higher than in New England? Use α = 0.01.
(a) What is the level of significance?

State the null and alternate hypotheses.

H0: μ1 = μ2; H1: μ1 > μ2H0: μ1 = μ2; H1: μ1μ2    H0: μ1 = μ2; H1: μ1 < μ2H0: μ1 < μ2; H1: μ1 = μ2

(b) What sampling distribution will you use? What assumptions are you making?

The standard normal. We assume that both population distributions are approximately normal with unknown standard deviations.The Student's t. 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 known standard deviations.

What is the value of the sample test statistic? (Test the difference μ1μ2. Round your answer to three decimal places.)

(c) Find (or estimate) the P-value.

P-value > 0.2500.125 < P-value < 0.250    0.050 < P-value < 0.1250.025 < P-value < 0.0500.005 < P-value < 0.025P-value < 0.005

Sketch the sampling distribution and show the area corresponding to the P-value.

(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α?

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 not statistically significant.    At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.

(e) Interpret your conclusion in the context of the application.

Fail to reject the null hypothesis, there is insufficient evidence that violent crime in the Rocky Mountain region is higher than in New England.Reject the null hypothesis, there is insufficient evidence that violent crime in the Rocky Mountain region is higher than in New England.    Reject the null hypothesis, there is sufficient evidence that violent crime in the Rocky Mountain region is higher than in New England.Fail to reject the null hypothesis, there is sufficient evidence that violent crime in the Rocky Mountain region is higher than in New England.

(i)

 x1 x2 3.550 3.850 mean 0.841 0.909 std. dev.

(a) 0.01

H0: μ1 = μ2; H1: μ1 < μ2

(b) The Student's t. We assume that both population distributions are approximately normal with unknown standard deviations.

-0.797

(c)

0.125 < P-value < 0.250

(d)

At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.

(e)

Fail to reject the null hypothesis, there is insufficient evidence that violent crime in the Rocky Mountain region is higher than in New England.

 x1 x2 3.550 3.850 mean 0.841 0.909 std. dev. 10 12 n 20 df -0.3000 difference (x1 - x2) 0.7728 pooled variance 0.8791 pooled std. dev. 0.3764 standard error of difference 0 hypothesized difference -0.797 t .2174 p-value (one-tailed, lower)

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