Question #63809

A researcher hypothesizes that people who listen to music via headphones have greater hearing loss and will thus score lower on a hearing test than those in the general population. On a standard hearing test u=19.2. The researcher gives this same test to a random sample of 12 individuals who regularly use headphones. Their scores on the test are 17,15,21,13,26,23,24,20,18,18,22,21. What is the tcv? compute t obt
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Expert's answer

2016-12-05T09:17:13-0500

Answer on Question #63809 – Math – Statistics and Probability

Question

A researcher hypothesizes that people who listen to music via headphones have greater hearing loss and will thus score lower on a hearing test than those in the general population. On a standard hearing test u=19.2u=19.2. The researcher gives this same test to a random sample of 12 individuals who regularly use headphones. Their scores on the test are 17,15,21,13,26,23,24,20,18,18,22,21. What is the tcv? compute t obt

Solution

H0:μ=19.2H_0: \mu = 19.2

H1:μ<19.2H_1: \mu < 19.2

If scores are 17, 15, 21, 13, 26, 23, 24, 20, 18, 18, 22, 21, then


xˉ=13+15+17+218+20+221+22+23+24+2612=19.83;\bar{x} = \frac{13 + 15 + 17 + 2 \cdot 18 + 20 + 2 \cdot 21 + 22 + 23 + 24 + 26}{12} = 19.83;=i=1N(Xixˉ)2N1=(1319.83)2+(1519.83)2+(1719.83)2+2(1819.83)211+(2019.83)2+2(2119.83)2+(2219.83)2+(2319.83)211+(2419.83)2+(2619.83)21114.333;= \frac{\sum_{i=1}^{N} (X_i - \bar{x})^2}{N - 1} = \frac{(13 - 19.83)^2 + (15 - 19.83)^2 + (17 - 19.83)^2 + 2(18 - 19.83)^2}{11} + \frac{(20 - 19.83)^2 + 2(21 - 19.83)^2 + (22 - 19.83)^2 + (23 - 19.83)^2}{11} + \frac{(24 - 19.83)^2 + (26 - 19.83)^2}{11} \approx 14.333;s=i=1N(Xixˉ)2N1=14.3333.79.s = \sqrt{\frac{\sum_{i=1}^{N} (X_i - \bar{x})^2}{N - 1}} = \sqrt{14.333} \approx 3.79.


If the significance level is α=0.05\alpha = 0.05, then the critical value is


tcv=t0.05,11=1.796.t_{cv} = -t_{0.05,11} = -1.796.


The value of test statistics is


tobt=xˉμs/n=19.8319.23.79/120.576.t_{obt} = \frac{\bar{x} - \mu}{s / \sqrt{n}} = \frac{19.83 - 19.2}{3.79 / \sqrt{12}} \approx 0.576.


Rejection region is tobttcvt_{obt} \leq t_{cv}.

The value of the test statistic, tobt0.576t_{obt} \approx 0.576, does not lie in the rejection region, because tobt>tcvt_{obt} > t_{cv}, so we cannot reject the null hypothesis at α=0.05\alpha = 0.05.

Answer: tcv=1.796;tobt0.576t_{cv} = -1.796; t_{obt} \approx 0.576.

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