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Tennis elbow is thought to be aggravated by the impact experienced when hitting the ball. The article Forces on the Hand in

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Answer #1

The symbols are used as they are defined in the question.

2.1

The 99% confidence interval for 11 - 12 is given by

((\bar{x}_1-\bar{x}_2)\pm s'\sqrt{\frac{1}{m_1}+\frac{1}{m_2}})

The subscript 1 corresponds to the advanced group and the subscript 2 corresponds to the intermediate group and

s'=\sqrt{\frac{(n_1-1)s_1^2+(n_2-1)s_2^2}{n_1+n_2-2}}

Hence from the given values,

s'=\sqrt{\frac{(6-1)11.3^2+(8-1)8.3^2}{6+8-2}}

\Rightarrow s'=\sqrt{93.39}=9.663850164

Hence the 99% confidence interval is given by

((40.3-21.4)\pm 9.663850164*t_{\;0.005,12}\sqrt{\frac{1}{6}+\frac{1}{8}})

i.e.\;\;(18.9\pm 9.663850164*3.055*0.5400617249)

i.e.\;\;(18.9\pm 15.94427592)

i.e.\;\;(2.95572408,34.84427592)

2.2

The null and the alternative hypotheses are given by

H_0:\mu_1=\mu_2\;\;against\;\;H_1:\mu_1\neq\mu_2

The test statistic is given by

t=\frac{\bar{x}_1-\bar{x}_2}{s'\sqrt{\frac{1}{n_1}+\frac{1}{n_2}}}

\Rightarrow t=\frac{40.3-21.4}{9.663850164\sqrt{\frac{1}{6}+\frac{1}{8}}}

\Rightarrow t=\frac{18.9}{28.56367464}=0.6616795717

Under the null hypothesis, the test statistic follows t distribution with df 12

The crtical value is obtained from the Biometrika table as 3.055

As the observed value is less than the critical value, we fail to reject the null hypothesis at 5% level of significance and hence conclude there is no significant difference between the average force of the two groups pf players.

2.3

The conclusion for paired t test may differ than the paired t test . The assumptions include the elimination of outliers.

Hopefully this will help you. In case of any query, do comment. If you are satisfied with the answer, give it a like. Thanks

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