EBK INTRODUCTION TO THE PRACTICE OF STA
8th Edition
ISBN: 9781319116828
Author: Moore
Publisher: VST
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Chapter 10, Problem 17E
(a)
To determine
To explain: The null and alternate hypotheses.
(b)
To determine
To find: The
(c)
To determine
To find: The 95% confidence interval.
To determine
To explain: The obtained 95% confidence interval.
(d)
To determine
To explain: The percent of the variability in 2011 tuition explained by a linear regression model using the 2008 tuition.
(e)
To determine
To explain: Why the inference of
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Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel). Hotel occupancy data for February in two consecutive years are as follows.
Current Year
Previous Year
OccupiedRooms
1,470
1,458
TotalRooms
1,750
1,800
(a)
Formulate the hypothesis test that can be used to determine if there has been an increase in the proportion of rooms occupied over the one-year period. (Let p1 = population proportion of rooms occupied for current year and p2 = population proportion of rooms occupied for previous year.)
H0: p1 − p2 ≤ 0
Ha: p1 − p2 > 0
(b) What is the estimated proportion of hotel rooms occupied each year?
current: 0.84
previous: 0.81
(c) Calculate the test statistic. (Round your answer to two decimal places.)
?
What is the p-value? (Round your answer to four decimal places.)
p-value = ?…
Does Cable Video on Demand (VOD D4 +) increase ad effectiveness? A recent VOD study compared general TV and VOD D4 + audiences after viewing a brand ad. Data were collected on whether the viewer indicated that the ad made them
want to visit the brand website, with the accompanying results. Complete parts (a) through (c) below.
E Click the icon to view the data on ad effectiveness.
a. Set up the null and alternative hypotheses to try to determine whether ad impact is stronger following VOD D4 + viewing than following general TV viewing.
Let population 1 correspond to VOD D4 + viewers and population 2 correspond
general TV viewers. What are the null and alternative hypotheses?
VA. Ho: 1 Sa2
H1: > 12
O B. Ho: 1 22
H: <12
OC. Ho: 1 + 2
H: 1 = 12
O D. Ho: 1 = a2
b. Conduct the hypothesis test defined in (a), using the 0.05 level of significance.
Calculate the test statistic.
ZSTAT = 1.38
- X
Ad effectiveness
(Type an integer or a decimal. Round to two decimal places as needed.)
Use…
You may need to use the appropriate technology to answer this question.
Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel). Hotel occupancy data for February in two consecutive years are as follows.
Current Year
Previous Year
OccupiedRooms
1,470
1,458
TotalRooms
1,750
1,800
(a)
Formulate the hypothesis test that can be used to determine if there has been an increase in the proportion of rooms occupied over the one-year period. (Let p1 = population proportion of rooms occupied for current year and p2 = population proportion of rooms occupied for previous year.)
H0: p1 − p2 ≥ 0
Ha: p1 − p2 < 0
H0: p1 − p2 ≠ 0
Ha: p1 − p2 = 0
H0: p1 − p2 ≤ 0
Ha: p1 − p2 > 0
H0: p1 − p2 < 0
Ha: p1 − p2 = 0
H0: p1 − p2 = 0
Ha: p1 − p2 ≠ 0
(b)
What is the estimated proportion of hotel rooms occupied each year?
currentprevious
(c)
Calculate the test statistic.…
Chapter 10 Solutions
EBK INTRODUCTION TO THE PRACTICE OF STA
Ch. 10.1 - Prob. 1UYKCh. 10.1 - Prob. 2UYKCh. 10.1 - Prob. 3UYKCh. 10.1 - Prob. 4UYKCh. 10.1 - Prob. 5UYKCh. 10.1 - Prob. 6UYKCh. 10.2 - Prob. 7UYKCh. 10 - Prob. 9ECh. 10 - Prob. 8ECh. 10 - Prob. 15E
Ch. 10 - Prob. 10ECh. 10 - Prob. 11ECh. 10 - Prob. 12ECh. 10 - Prob. 13ECh. 10 - Prob. 30ECh. 10 - Prob. 29ECh. 10 - Prob. 58ECh. 10 - Prob. 48ECh. 10 - Prob. 45ECh. 10 - Prob. 46ECh. 10 - Prob. 24ECh. 10 - Prob. 23ECh. 10 - Prob. 16ECh. 10 - Prob. 17ECh. 10 - Prob. 18ECh. 10 - Prob. 22ECh. 10 - Prob. 25ECh. 10 - Prob. 26ECh. 10 - Prob. 27ECh. 10 - Prob. 28ECh. 10 - Prob. 31ECh. 10 - Prob. 32ECh. 10 - Prob. 33ECh. 10 - Prob. 34ECh. 10 - Prob. 35ECh. 10 - Prob. 36ECh. 10 - Prob. 37ECh. 10 - Prob. 39ECh. 10 - Prob. 40ECh. 10 - Prob. 41ECh. 10 - Prob. 44ECh. 10 - Prob. 49ECh. 10 - Prob. 50ECh. 10 - Prob. 51ECh. 10 - Prob. 52ECh. 10 - Prob. 53ECh. 10 - Prob. 57ECh. 10 - Prob. 59ECh. 10 - Prob. 60ECh. 10 - Prob. 61ECh. 10 - Prob. 14ECh. 10 - Prob. 19ECh. 10 - Prob. 20ECh. 10 - Prob. 21ECh. 10 - Prob. 42ECh. 10 - Prob. 43ECh. 10 - Prob. 47ECh. 10 - Prob. 54ECh. 10 - Prob. 55ECh. 10 - Prob. 56ECh. 10 - Prob. 62E
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- Does Cable Video on Demand (VOD D4 +) increase ad effectiveness? A recent VOD study compared general TV and VOD D4 + audiences after viewing a brand ad. Data were collected on whether the viewer indicated that the ad made them want to visit the brand website, with the accompanying results. Complete parts (a) through (c) below. E Click the icon to view the data on ad effectiveness. a. Set up the null and alternative hypotheses to try to determine whether ad impact is stronger following VOD D4 + viewing than following general TV viewing. Let population 1 correspond to VOD D4 + viewers and population 2 correspond to general TV viewers. What are the null and alternative hypotheses? O A. Ho: 1 Saz H: 1 > 12 OC. Ho: 1 #2 O B. Ho: 1 212 O D. Ho: 1 = R2 - X Ad effectiveness Made Me Want To Visit The Brand Website Viewing Audience VOD D4 + Yes No 404 153 General TV 193 91 Print Donearrow_forwardHW Score: 0%, 0 of 60 pts Question Help ▼ For the following hypothesis test, determine the null and altemative hypotheses. Also, classify the hypothesis test as two tailed, left tailed, or right tailed. The mean local monthly bill for cell phone users in this country was $52.52 in 2001. A hypothesis test is to be performed to determine whether last year's mean local monthly bill for cell phone users has decreased from the 2001 mean of $52.52. Choose the correct null and alternative hypotheses below. O A. Ho: u= $52.52 O B. Ho u#$52.52 H: u> $52.52 OC. Ho: u# $52 .52 H: u $52.52 O E. Ho: u=552.52 H u#$52.52 OF. Ho: u#$52.52 Ha: # = $52.52arrow_forwardUSE THE 8-STEP HYPOTHESIS TESTING Refer to the study by Carter et al. [A-9], who investigated the effect of age at onset of bipolar disorder on the course of the illness. One of the variables studied was subjects' family history. Table 3.4.1 shows the frequency of a family history of mood disorders in the two groups of interest: early age at onset (18 years or younger) and later age at onset (later than 18 years). Family History of Mood Disorders Early ≤ 18(E) 28 19 41 53 Later > 18 (L) 35 38 44 60 141 Total 63 57 85 113 Negative (A) Bipolar disorder (B) Unipolar (C) Unipolar and bipolar (D) Total 177 318 Source: Tasha D. Carter, Emanuela Mundo, Sagar V. Parkh, and James L. Kennedy, "Early Age at Onset as a Risk Factor for Poor Outcome of Bipolar Disorder," Journal of Psychiatric Research, 37 (2003), 297-303. Can we conclude on the basis of these data that subjects 18 or younger differ from subjects older than 18 with respect to family histories of mood disorders? Let a = .05.arrow_forward
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