Question

Suppose two independent random samples were taken. The following data were recorded: Quebec: 𝑛1 = 150, Number of deaths due to cancer = 𝑥1 = 47 Rest of Canada: 𝑛2 = 1000, Number of deaths due to cancer = 𝑥2 = 291 (Round your answers to 3 decimal places) (a) Test the appropriate hypothesis to determine whether the data provide sufficient evidence to indicate a difference between the two population proportion parameters. Use α = 0.01 and the critical value approach. (b) Find the p-value for the test and write your conclusion at the 1% significance level. (c) Use a 99% confidence interval to estimate the actual difference between the cancer death proportions for the people in Quebec versus the rest of Canada. Does your confidence interval estimate provide the same conclusion as in part (a)? Justify your answer.

          Suppose two independent random samples were taken. The following data were recorded:

Quebec: 𝑛1 = 150, Number of deaths due to cancer = 𝑥1 = 47

Rest of Canada: 𝑛2 = 1000, Number of deaths due to cancer = 𝑥2 = 291

(Round your answers to 3 decimal places)

(a) Test the appropriate hypothesis to determine whether the data provide sufficient evidence to indicate a difference between the two population proportion parameters. Use α = 0.01 and the critical value approach.

(b) Find the p-value for the test and write your conclusion at the 1% significance level.

(c) Use a 99% confidence interval to estimate the actual difference between the cancer death proportions for the people in Quebec versus the rest of Canada. Does your confidence interval estimate provide the same conclusion as in part (a)? Justify your answer.
        
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Added by Lindsey H.

Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Suppose two independent random samples were taken. The following data were recorded: Quebec: 𝑛1 = 150, Number of deaths due to cancer = 𝑥1 = 47 Rest of Canada: 𝑛2 = 1000, Number of deaths due to cancer = 𝑥2 = 291 (Round your answers to 3 decimal places) (a) Test the appropriate hypothesis to determine whether the data provide sufficient evidence to indicate a difference between the two population proportion parameters. Use α = 0.01 and the critical value approach. (b) Find the p-value for the test and write your conclusion at the 1% significance level. (c) Use a 99% confidence interval to estimate the actual difference between the cancer death proportions for the people in Quebec versus the rest of Canada. Does your confidence interval estimate provide the same conclusion as in part (a)? Justify your answer.
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Transcript

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00:01 Hello, let's have a look on the question.
00:02 Two samples are given to us.
00:04 For the first one, sample size is 150, mean x1 is 47.
00:10 So for this we can find out the value of p1, that is x1 by n1, which is 47 by 150, that is 0 .31.
00:19 This is the first data set.
00:21 Next we have n2 is equal to 1 ,000 and x2 is equal to 291.
00:27 For this, we can find out p2, x2, x2, x2.
00:30 X2 by n2 that is 291 by thousand so this will be equal to 0 .291 now null hypothesis and alternative hypothesis so for null hypothesis and alternative hypothesis we have for null p1 minus p2 is equal to 0 and for alternative p1 minus p2 is not equal to 0 now we need to find out test statistics for both the cases that is z is equal to p1 minus p2 divided by under root of p q multiplied by 1 upon n1 plus 1 upon n2 so p here is equal to x1 plus x2 by n1 plus n2 so this value will be equal to 0 .29 and q is equal to 1 minus p that is 1 minus 0 .29 which is equal to 0 .71 this is the value of q now we need to find out the value of z that is 0 .31 minus 0 .29 divided by under root of 0 .29 multiplied by 0 .71.
01:43 This will be 1 upon 150 plus 1 upon 1 ,000...
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