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8) A light-bulb manufacturer advertises that the averge life for its light bulbs random sample of 15 of its light bulbs resut

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Answer #1

8) H0: \mu = 900

    H1: \mu \neq 900

\bar x = 724.07

s = 156.924

The test statistic t = (\bar x - \mu)/(s/\sqrt n)

                             = (724.07 - 900)/(156.924/\sqrt 15)

                             = -4.342

P-value = 2 * P(T < -4.342)

             = 2 * 0.0003 = 0.0006

Since the P-value is less than the significance level(0.0006 < 0.10), so we should reject the null hypothesis.

At 10% significance level there is not sufficient evidence to support the claim that the sample is from a population with a mean life of 900 hours.

9) H0: \mu = 30000

    H1: \mu \neq 30000

The test statistic t = (\bar x - \mu)/(s/\sqrt n)

                             = (22298 - 30000)/(14200/\sqrt 17)

                             = -2.236

At alpha = 0.05, the critical values are t0.025, 16 = +/- 2.120

Since the test statistic value is less than the critical value (-2.236 < -2.120), so we should reject the null hypothesis.

There is not sufficient evidence to support the claim that the mean salary is $30000.

P-value = 2 * P(T < -2.236)

             = 2 * 0.0200 = 0.04

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