The accompanying data represent the total travel tax (in dollars) for a 3-day business trip in 88 randomly selected cities. A normal probability plot suggests the data could come from a population that is normally distributed. A boxplot indicates there are no outliers. Complete parts (a) through (c) below. 68.74 79.38 70.94 84.71 79.74 85.74 100.91 98.02 LOADING... Click the icon to view the table of critical t-values. (a) Determine a point estimate for the population mean travel tax. A point estimate for the population mean travel tax is $11.51 (Round to two decimal places as needed.) (b) Construct and interpret a 95% confidence interval for the mean tax paid for a three-day business trip. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to two decimal places as needed.) A. One can be nothing% confident that the all cities have a travel tax between $nothing and $nothing. B. One can be nothing% confident that the mean travel tax for all cities is between $nothing and $nothing. C. There is a nothing% probability that the mean travel tax for all cities is between $nothing and $nothing. D. The travel tax is between $nothing and $nothing for nothing% of all cities. (c) What would you recommend to a researcher who wants to increase the precision of the interval, but does not have access to additional data?
The accompanying data represent the total travel tax (in dollars) for a 3-day business trip in 88 randomly selected cities. A normal probability plot suggests the data could come from a population that is normally distributed. A boxplot indicates there are no outliers. Complete parts (a) through (c) below. 68.74 79.38 70.94 84.71 79.74 85.74 100.91 98.02 LOADING... Click the icon to view the table of critical t-values. (a) Determine a point estimate for the population mean travel tax. A point estimate for the population mean travel tax is $11.51 (Round to two decimal places as needed.) (b) Construct and interpret a 95% confidence interval for the mean tax paid for a three-day business trip. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to two decimal places as needed.) A. One can be nothing% confident that the all cities have a travel tax between $nothing and $nothing. B. One can be nothing% confident that the mean travel tax for all cities is between $nothing and $nothing. C. There is a nothing% probability that the mean travel tax for all cities is between $nothing and $nothing. D. The travel tax is between $nothing and $nothing for nothing% of all cities. (c) What would you recommend to a researcher who wants to increase the precision of the interval, but does not have access to additional data?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
Related questions
Question
The accompanying data represent the total travel tax (in dollars) for a 3-day business trip in
normally distributed. A boxplot indicates there are no outliers. Complete parts (a) through (c) below.
88
randomly selected cities. A normal probability plot suggests the data could come from a population that is |
68.74
|
79.38
|
70.94
|
84.71
|
79.74
|
85.74
|
100.91
|
98.02
|
|
LOADING...
(a) Determine a point estimate for the population mean travel tax.
A point estimate for the population mean travel tax is
$11.51
(Round to two decimal places as needed.)
(b) Construct and interpret a
95%
confidence interval for the mean tax paid for a three-day business trip.Select the correct choice below and fill in the answer boxes to complete your choice.
(Round to two decimal places as needed.)
One can be
nothing%
confident that the all cities have a travel tax between
$nothing
and
$nothing.
One can be
nothing%
confident that the mean travel tax for all cities is between
$nothing
and
$nothing.
There is a
nothing%
probability that the mean travel tax for all cities is between
$nothing
and
$nothing.
The travel tax is between
$nothing
and
$nothing
for
nothing%
of all cities.(c) What would you recommend to a researcher who wants to increase the precision of the interval, but does not have access to additional data?
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