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Public health authorities want to estimate the proportion of Australians aged 18-65 who caught the flu during winter 2022. The sample used for estimating the prevalence of flu included 1,912 randomly-selected Australians aged 18-65. Of these, 276 reported having a "flu-like illness" during winter 2022. Use this data to calculate a 90% confidence interval for the proportion of Australians aged 18-65 who had a flu-like illness during winter 2022 by hand.

          Public health authorities want to estimate the proportion of Australians aged 18-65 who caught the flu during winter 2022. The sample used for estimating the prevalence of flu included 1,912 randomly-selected Australians aged 18-65. Of these, 276 reported having a "flu-like illness" during winter 2022. Use this data to calculate a 90% confidence interval for the proportion of Australians aged 18-65 who had a flu-like illness during winter 2022 by hand.
        
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Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Public health authorities want to estimate the proportion of Australians aged 18-65 who caught the flu during winter 2022. The sample used for estimating the prevalence of flu included 1,912 randomly-selected Australians aged 18-65. Of these, 276 reported having a "flu-like illness" during winter 2022. Use this data to calculate a 90% confidence interval for the proportion of Australians aged 18-65 who had a flu-like illness during winter 2022 by hand.
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(a) Public health authorities want to estimate the proportion of Australians aged 18-65 who caught the flu during winter 2018. If the true proportion is thought to be about 24%, how large a sample will be needed if we want to be 95% sure that our estimate will be within 0.02 of the true value? [3] (b) Due to a change in the available funding, the sample actually used for estimating the prevalence of flu included 1,712 randomly-selected Australians aged 18-65. Of these, 367 reported having a "flu-like illness" during winter 2018. Use these data to calculate a 90% confidence interval for the proportion of Australians aged 18-65 who had a flu-like illness during winter 2018.

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Transcript

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00:01 So in part a, we believe that the proportion with who had flu is 24%.
00:06 So we want to know how big of a sample size do we need for a 95 % confidence interval for the true proportion to have that margin of air be within 2 % or that needs to be our margin of air.
00:22 And so we know that the margin of air is to take the 1 .96, the z value, because our confidence interval looks like this.
00:30 This p hat, one minus p hat, and then over the sample size.
00:37 And this is our margin of error.
00:39 And so we use 1 .96 for 95%.
00:42 We will assume that that value is close to 0 .24.
00:46 And remember we use 0 .5 if we have no idea.
00:49 And so this 0 .76 is our complement, and we don't know what n is.
00:53 And we want that to be no more than 2%.
00:56 So doing our algebra, we end up having 1 .96.
01:00 Times the square root of 0 .24 times .76 divided by that .02.
01:08 And then if we square both sides, square that side and that square root cancels out, this becomes squared, this becomes squared, and then that square root will actually go away...
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