A psychologist wanted to test the belief that eating fish makes one smarter. she took a random sample of 12 persons took them through a fish oil supplement for one year and then assessed their IQ. her results were as follows 116,111,101,120,99,94,106,115,107,101,110,92. test at 5% the hypothesis that the fish oil supplement made a significant increase in the average IQ. The average IQ is expected to be 100.
"+94+106+115+107+101+110+92)=106"
"Variance=s^2=\\dfrac{1}{12-1}((116-106)^2"
"+(111-106)^2+(101-106)^2+(120-106)^2"
"+(99-106)^2+(94-106)^2+(106-106)^2"
"+(115-106)^2+(107-106)^2+(101-106)^2"
"+(110-106)^2+(92-106)^2)=78"
"s=\\sqrt{s^2}=\\sqrt{78}\\approx8.83176"
The following null and alternative hypotheses need to be tested:
"H_0:\\mu\\leq100"
"H_1:\\mu>100"
This corresponds to a right-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
Based on the information provided, the significance level is "\\alpha=0.05,"
"df=n-1=12-1=11" degrees of freedom, and the critical value for a right-tailed test is "t_c=1.795885."
The rejection region for this right-tailed test is"R=\\{t:t>1.795885\\}."
The t-statistic is computed as follows:
"t=\\dfrac{\\bar{x}-\\mu}{s\/\\sqrt{n}}=\\dfrac{106-100}{8.83176\/\\sqrt{11}}"
"\\approx2.353394"
Since it is observed that "t=2.353394>1.795885=t_c," it is then concluded that the null hypothesis is rejected.
Using the P-value approach: The p-value for "\\alpha=0.05, df=11," "t=2.353394," right-tailed is "p=0.019129," and since "p=0.019129<0.05=\\alpha," t is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu"
is greater than "100," at the "\\alpha=0.05" significance level.
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