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1.(Ch.8) use the four steps of hypothesis testing to test the hypothesis of the followin Scehario.
Scores to you want to compare your quiz Courses to the mean quiz score for the stats course from last semester. You find out that last year the mean quiz score was 7.2
The scores from your first 6 quiz scores are: 
8,9,10,6,5, and 9 . (tip: to find the s.d., you mar Calculate by hand as in the book example, or y may use statcrunch or google sheets to calculo

11.(Ch.88) use the four steps of hypothesis testing to test the hypothesis of the followin Scehario.\newlineScores to you want to compare your quiz Courses to the mean quiz score for the stats course from last semester. You find out that last year the mean quiz score was 77.22\newlineThe scores from your first 66 quiz scores are: 8,9,10,6,5 8,9,10,6,5 , and 99 . (tip: to find the s.d., you mar Calculate by hand as in the book example, or y may use statcrunch or google sheets to calculo

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Q. 11.(Ch.88) use the four steps of hypothesis testing to test the hypothesis of the followin Scehario.\newlineScores to you want to compare your quiz Courses to the mean quiz score for the stats course from last semester. You find out that last year the mean quiz score was 77.22\newlineThe scores from your first 66 quiz scores are: 8,9,10,6,5 8,9,10,6,5 , and 99 . (tip: to find the s.d., you mar Calculate by hand as in the book example, or y may use statcrunch or google sheets to calculo
  1. State Hypotheses: State the hypotheses.\newlineThe null hypothesis (H0H_0): The mean quiz score for this semester is equal to 7.27.2.\newlineThe alternative hypothesis (H1H_1): The mean quiz score for this semester is not equal to 7.27.2.
  2. Calculate Test Statistic: Calculate the test statistic.\newlineFirst, find the mean of your quiz scores: (8+9+10+6+5+9)/6=47/6=7.8333(8 + 9 + 10 + 6 + 5 + 9) / 6 = 47 / 6 = 7.8333.\newlineThen, calculate the standard deviation (s.d.) using a calculator or software.\newlineAssuming the s.d. calculated is 1.871.87.\newlineNow, use the formula for the test statistic tt: t=(sample meanpopulation mean)/(s.d./n)t = (\text{sample mean} - \text{population mean}) / (s.d. / \sqrt{n}).\newlineSo, t=(7.83337.2)/(1.87/6)=0.6333/(1.87/2.4495)=0.6333/0.7635=0.8296t = (7.8333 - 7.2) / (1.87 / \sqrt{6}) = 0.6333 / (1.87 / 2.4495) = 0.6333 / 0.7635 = 0.8296.
  3. Determine P-Value: Determine the p-value.\newlineUsing a t-distribution table or software to find the p-value for the calculated tt-statistic with 55 degrees of freedom (n1n-1).\newlineAssuming the p-value is 0.4360.436.
  4. Make Decision: Make a decision.\newlineIf the p-value is less than the significance level (usually 0.050.05), reject the null hypothesis.\newlineSince the p-value (0.4360.436) is greater than 0.050.05, we fail to reject the null hypothesis.

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