Question

3.3) [8 pts] A sample of 29 randomly selected automobile owners were asked to keep a record of the kilometers they travel. Th please explain
Areas ander the Normal Curve 3 .00 .01 .02 34 0.00 0.00 0.00 -33 0.0005 0.0005 0.0005 -32 0.0007 0.0007 0.0006 -31 0.0010 0.0
Areas under the Normal Curve 2 .00 .01 .02 0.0 0.5000 0.5040 0.5080 0.1 0.5398 0.5438 0.5478 0.2 0.5793 0.5832 0.5871 0.3 0.6
0 0
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Answer #1

\mu_0 = 28000

n = 29

\\s = 5237 \\\bar{X} = 28350 \\\alpha = 0.1

The test hypothesis is

\\Null\;Hypothesis --> H_0: \mu = \mu_0 \\Alternate\;Hypothesis --> H_1: \mu > \mu_0

This is a one-sided test because the alternative hypothesis is formulated to detect the difference from the hypothesized mean on the upper side

Now, the value of test static can be found out by following formula:

\\t_0 = \frac{\bar{X} - \mu_0}{s/\sqrt{n}} \\t_0 = \frac{28350.0- 28000.0}{5237.0/\sqrt{29}} \\\\t_0 = 0.3599

Using Excel's function =T.DIST.RT(t0,n-1), the P-value for t0 = 0.3599 in an upper-tailed t-test with 28 degrees of freedom can be computed as

P = P(T_{28}>0.3599)=T.DIST.RT(0.3599,28)=0.3608.

Since P = 0.3608 > 0.1, we fail to reject the null hypothesis H_0:\mu=28000.0 \;at\; \alpha = 0.1.

Since the sample size is n = 29, degrees of freedom on the t-test statistic are n-1 = 29-1 = 28

This implies that

t_{\alpha, n-1} = t_{0.1, 28} = 1.3125

Since  t_0 = 0.3599<1.3125 =t_{0.1}, we fail to reject the null hypothesis H_0:\mu=28000.0 \;at\; \alpha = 0.1.

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