This is an extension of Example 1 of Chapter 28 in the textbook. Suppose that table 1 had 600 entries instead of 60, with observed frequencies as shown in the table below.
Value Observed frequency
1 90
2 110
3 100
4 80
5 120
6 100
(1) Make a X square -test of the null hypothesis that the die is fair. What's the p-value? (round to 3 decimals)
(2) Comparing to the previous question, the
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- 15.arrow_forwardIn each situation, find the value of the t-statistic for the sample mean x and give the value of degrees of freedom (df). (a) x = 6, µ = 12, o = 24, n = 25 t = df = (b) x = 18, u = 12, o = 24, n = 25 t = df =arrow_forwardUsing an evenly distributed data population of 8,000 samples, how many Would fall between a Z-score of -0.5 and +0.5? (blank)arrow_forward
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- M. 山 Find the standardized test statistic, z, to test the claim that p, < P2. The sample statistics listed below are from independent samples. n = 550, x, = 121, and n, = 690, x, = 195 %3D O A. 1.116 O B. -2.132 OC. -2.513 O D. -0.985 P Type here to search 59 F5 F9 F11 %23 3. 5. 6. 8. A G H. B. N Altarrow_forwardQuestion II. The following two-by-three table gives the sample proportions corresponding to different combinations of factor categories (for example, 28% of the sample fell in the cell representing category 1 of factor A and category 3 of factor B). A B .13 .19 .28 .07 .11 .22 II(a). Suppose that the sample size is n=100. Carry out a chi-squared test of independence at the 10% significance level. Make sure to state the null and alternative hypotheses, degrees of freedom, the value of your test statistic, the p-value, and the final conclusion. II(b). Now, suppose that n=1000 and repeat part 3(a). II(c). Find the smallest value of n that will result in rejection of the null hypothesis of part 3(a) at 10% level. Start by finding the appropriate x² statistic (which will depend on the n).arrow_forward
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