The police department in your city was asked by the mayor’s office to estimate the cost of crime. The police began their study with burglary records, taking a random sample of 500 files since there were too many crime records to calculate statistics for all of the crimes committed. If the average dollar loss in a burglary, for this sample size 500 is $678, with a standard deviation of $560, construct the 95% confidence interval for the true average dollar loss in burglaries rounded to the nearest dollar amount. We can be 95% confident that the upper limit of our interval of dollar loss in crimes committed is $________.
n = 500
x-bar = 678
s = 560
% = 95
Standard Error, SE = σ/√n = 560 /√500 = 25.04396135
z- score = 1.959963985
Width of the confidence interval = z * SE = 1.95996398454005 * 25.0439613479976 = 49.08526227
Lower Limit of the confidence interval = x-bar - width = 678 - 49.0852622722886 = 628.9147377
Upper Limit of the confidence interval = x-bar + width = 678 + 49.0852622722886 = 727.0852623
The 95% confidence interval is [$629, $727]
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