SOLUTION: You measure 45 backpacks' weights, and find they have a mean weight of 49 ounces. Assume the population standard deviation is 14.8 ounces. Based on this, what is the maximal margin
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-> SOLUTION: You measure 45 backpacks' weights, and find they have a mean weight of 49 ounces. Assume the population standard deviation is 14.8 ounces. Based on this, what is the maximal margin
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Question 1203901: You measure 45 backpacks' weights, and find they have a mean weight of 49 ounces. Assume the population standard deviation is 14.8 ounces. Based on this, what is the maximal margin of error associated with a 95% confidence interval for the true population mean backpack weight.
Give your answer as a decimal, to two places
population mean is 49
population standard deviation is 14.5
sample size is 45.
standard error is equal to standard devition divided by square root of sample size = 14.5/sqrt(45) = 2.16153.
z-score formula is z = (x-m)/s
z is the z-score
x is the samp[le mean
m is the population mean
s is the standard error.
95% confidence interval requires a z-score equal to plus or minus 1.95996.
that's a two tailed confience interval with 2.5% alpha on each end.
alpha is the area under the normal distribution curve that's not in the confidence interval.
using the z-score formula, you get:
on the high side z = (x-m/s becoms 1.95996 = (x-49)/2.16153.
solve for (x-49) to get (x-49) = 1.95996 * 2.16153 = 4.23651.
that's your margin of error.
solve for x to get high side raw score = 53.236517.
on the low side z = (x-m)/s becomes -1.95996 = (x-49)/2.16153.
solve for (x-49) to get (x-49) = -1.95996 * 2.16153 = -4.23651.
solve for x to get low side raw score = 44.76349.
round ansswers to two decimql places to get:
margin of error = 4.24
minimum value = 44.76.
maximum value = 53.34.
i used the calculator at https://davidmlane.com/hyperstat/z_table.html to confirm this answer is correct.
it is correct as long as you calculated the standard error correctly, which i think i did, and as long as my assumptions about what the problem is looking for is correct.
here's what the results from the calculator look like.