Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner, then do the same for Restaurant Y. Compare the results. 1 Click the icon to view the data on drive-through service times. Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant X. sec<μ< (Round to one decimal place as needed.) Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant Y. sec<μ< (Round to one decimal place as needed.) Compare the results. sec sec O A. The confidence interval estimates for the two restaurants do not overlap, so it appears that Restaurant X has a faster mean service time than Restaurant Y OB. The confidence interval estimates for the two restaurants overlap, so there does not appear to be a significant difference between the mean dinner times at the two restaurants. OC. The confidence interval estimates for the two restaurants do not overlap, so there does not appear to be a significant difference between the mean dinner times at the two restaurants. OD. The confidence interval estimates for the two restaurants overlap, so it appears that Restaurant X has a faster mean service time than Restaurant Y
Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner, then do the same for Restaurant Y. Compare the results. 1 Click the icon to view the data on drive-through service times. Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant X. sec<μ< (Round to one decimal place as needed.) Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant Y. sec<μ< (Round to one decimal place as needed.) Compare the results. sec sec O A. The confidence interval estimates for the two restaurants do not overlap, so it appears that Restaurant X has a faster mean service time than Restaurant Y OB. The confidence interval estimates for the two restaurants overlap, so there does not appear to be a significant difference between the mean dinner times at the two restaurants. OC. The confidence interval estimates for the two restaurants do not overlap, so there does not appear to be a significant difference between the mean dinner times at the two restaurants. OD. The confidence interval estimates for the two restaurants overlap, so it appears that Restaurant X has a faster mean service time than Restaurant Y
Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner, then do the same for Restaurant Y. Compare the results. 1 Click the icon to view the data on drive-through service times. Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant X. sec<μ< (Round to one decimal place as needed.) Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant Y. sec<μ< (Round to one decimal place as needed.) Compare the results. sec sec O A. The confidence interval estimates for the two restaurants do not overlap, so it appears that Restaurant X has a faster mean service time than Restaurant Y OB. The confidence interval estimates for the two restaurants overlap, so there does not appear to be a significant difference between the mean dinner times at the two restaurants. OC. The confidence interval estimates for the two restaurants do not overlap, so there does not appear to be a significant difference between the mean dinner times at the two restaurants. OD. The confidence interval estimates for the two restaurants overlap, so it appears that Restaurant X has a faster mean service time than Restaurant Y
Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95% confidence interval estimate of the mean drive-through service time for Restaurant X at dinner; then do the same for Restaurant Y. Compare the results.
Transcribed Image Text:30. Refer to the accompanying data set of mean drive-through service times at dinner in seconds at two fast food restaurants. Construct a 95% confidence
interval estimate of the mean drive-through service time for Restaurant X at dinner, then do the same for Restaurant Y. Compare the results.
1 Click the icon to view the data on drive-through service times.
Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant X.
sec<μ<
(Round to one decimal place as needed.)
Construct a 95% confidence interval of the mean drive-through service times at dinner for Restaurant Y.
sec
sec<μ<
(Round to one decimal place as needed.)
Compare the results.
sec
O A. The confidence interval estimates for the two restaurants do not overlap, so it appears that Restaurant X has a faster mean service time than
Restaurant Y.
OB. The confidence interval estimates for the two restaurants overlap, so there does not appear to be a significant difference
between the mean dinner times at the two restaurants.
OC. The confidence interval estimates for the two restaurants do not overlap, so there does not appear to be a significant difference
between the mean dinner times at the two restaurants.
OD. The confidence interval estimates for the two restaurants overlap, so it appears that Restaurant X has a faster mean service time than
Restaurant Y.
Definition Definition Method in statistics by which an observation’s uncertainty can be quantified. The main use of interval estimating is for describing a range that is made by transforming a point estimate by determining the range of values, or interval within which the population parameter is likely to fall. This range helps in measuring its precision.
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