In a study conducted by a credit card company, corporate clients were surveyed to determine the extent to which hotel room rates quoted by central reservation systems differ from the rates negotiated by the companies. The study found that the mean overcharge by hotels was $11.34 per night. Suppose a follow-up study was done in which a random sample of 30 corporate hotel bookings was analyzed. Only those cases in which an error occurred were included in the study. The accompanying data show the amounts by which the quoted rate differs from the negotiated rate. Positive values indicate an overcharge and negative values indicate an undercharge. Compute a 95% confidence interval estimate for the mean error in hotel charges. overpay.xlsx Upper Limit: $ [Select] Lower Limit: $ [Select ]

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Upper and lower limit of confidence interval 

In a study conducted by a credit card company, corporate clients were surveyed to determine the
extent to which hotel room rates quoted by central reservation systems differ from the rates
negotiated by the companies. The study found that the mean overcharge by hotels was $11.34 per
night. Suppose a follow-up study was done in which a random sample of 30 corporate hotel
bookings was analyzed. Only those cases in which an error occurred were included in the study.
The accompanying data show the amounts by which the quoted rate differs from the negotiated
rate. Positive values indicate an overcharge and negative values indicate an undercharge. Compute
a 95% confidence interval estimate for the mean error in hotel charges.
overpay.xlsx
Upper Limit: $ [ Select]
Lower Limit: $ [Select ]
Interpret the interval. Choose the correct answer below. (You may have to zoom your browser out
to see all the alternatives)
V [ Select ]
One can state with 95% confidence that the true population mean error in hotel charges is between these two values.
One can state that the true population mean error in hotel charges will fall between these two values 95% of the time.
There is a 0.95 probability that the true population mean error in hotel charges is between these two values.
One can state with 95% confidence that the sample mean error in hotel charges is between these two values.
Transcribed Image Text:In a study conducted by a credit card company, corporate clients were surveyed to determine the extent to which hotel room rates quoted by central reservation systems differ from the rates negotiated by the companies. The study found that the mean overcharge by hotels was $11.34 per night. Suppose a follow-up study was done in which a random sample of 30 corporate hotel bookings was analyzed. Only those cases in which an error occurred were included in the study. The accompanying data show the amounts by which the quoted rate differs from the negotiated rate. Positive values indicate an overcharge and negative values indicate an undercharge. Compute a 95% confidence interval estimate for the mean error in hotel charges. overpay.xlsx Upper Limit: $ [ Select] Lower Limit: $ [Select ] Interpret the interval. Choose the correct answer below. (You may have to zoom your browser out to see all the alternatives) V [ Select ] One can state with 95% confidence that the true population mean error in hotel charges is between these two values. One can state that the true population mean error in hotel charges will fall between these two values 95% of the time. There is a 0.95 probability that the true population mean error in hotel charges is between these two values. One can state with 95% confidence that the sample mean error in hotel charges is between these two values.
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