In the week before and the week after a holiday, there were 10,000 total deaths, and 4970 of them a. Construct a 90% confidence interval estimate of the proportion of deaths in the week before the holiday to the total deaths in the week before and the week after the holida b. Based on the result, does there appear to be any indication that people can temporarily postpone their death to survive the holiday?

MATLAB: An Introduction with Applications
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In the week before and the week after a holiday, there were 10,000 total deaths, and 4970 of them occurred in the week before the holiday
K
a. Construct a 90% confidence interval estimate of the proportion of deaths in the week before the holiday to the total deaths in the week before and the week after the holiday.
b. Based on the result, does there appear to be any indication that people can temporarily postpone their death to survive the holiday?
<p<(Round to three decimal places as needed.)
b. Based on the result, does there appear to be any indication that people can temporarily postpone their death to survive the holiday?
a.
O No, because the proportion could easily equal 0.5. The interval is not less than 0.5 the week before the holiday.
OYes, because the proportion could not easily equal 0.5. The interval is substantially less than 0.5 the week before the holiday.
Transcribed Image Text:In the week before and the week after a holiday, there were 10,000 total deaths, and 4970 of them occurred in the week before the holiday K a. Construct a 90% confidence interval estimate of the proportion of deaths in the week before the holiday to the total deaths in the week before and the week after the holiday. b. Based on the result, does there appear to be any indication that people can temporarily postpone their death to survive the holiday? <p<(Round to three decimal places as needed.) b. Based on the result, does there appear to be any indication that people can temporarily postpone their death to survive the holiday? a. O No, because the proportion could easily equal 0.5. The interval is not less than 0.5 the week before the holiday. OYes, because the proportion could not easily equal 0.5. The interval is substantially less than 0.5 the week before the holiday.
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