An advertising firm is trying to determine if a lower proportion of interactions from online advertising result in sales compared to the proportion of interactions from television advertising. The firm examines a random sample of each type of interaction. The results of the data collected are shown below. What are the population parameters? Pick Online Successes Observations Proportion Confidence level Z-score p-value Television 231 Successes 1000 Observations 0.231 Proportion 95% 2.926 0.00169 206 700 0.294 What is the level of significance? Ex: 0.12 The null hypothesis is Ho: Ponline Pick PTV The alternative hypothesis is Ha: Ponline Pick PTV Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that the proportion of sales generated by online advertising is lower than the proportion generated by television advertising.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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An advertising firm is trying to determine if a lower proportion of interactions from online advertising result in
sales compared to the proportion of interactions from television advertising. The firm examines a random sample
of each type of interaction. The results of the data collected are shown below.
What are the population parameters?
✓ Pick
The difference in the sample sizes
The difference in the two sample means
The proportion of all interactions in each category that result in sales
The proportion of interactions in the sample in each category that result in sales
Confluence 101
The alternative hypothesis is Ha: Ponline Pick
Succ
Obse
Prop
Z-score
p-value
370
2.926
0.00169
Should Ho be rejected or does Ho fail to be rejected? Pick
What conclusion can be drawn from the data?
Pick
PTV
✓evidence exists to support the claim that the proportion of sales generated by online advertising is
lower than the proportion generated by television advertising.
Transcribed Image Text:An advertising firm is trying to determine if a lower proportion of interactions from online advertising result in sales compared to the proportion of interactions from television advertising. The firm examines a random sample of each type of interaction. The results of the data collected are shown below. What are the population parameters? ✓ Pick The difference in the sample sizes The difference in the two sample means The proportion of all interactions in each category that result in sales The proportion of interactions in the sample in each category that result in sales Confluence 101 The alternative hypothesis is Ha: Ponline Pick Succ Obse Prop Z-score p-value 370 2.926 0.00169 Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick PTV ✓evidence exists to support the claim that the proportion of sales generated by online advertising is lower than the proportion generated by television advertising.
Jump to level 1
An advertising firm is trying to determine if a lower proportion of interactions from online advertising result in
sales compared to the proportion of interactions from television advertising. The firm examines a random sample
of each type of interaction. The results of the data collected are shown below.
What are the population parameters?
Pick
Online
Successes
Observations
Proportion
Confidence level
z-score
p-value
Television
231 Successes
1000 Observations
0.231 Proportion
95%
2.926
0.00169
206
700
0.294
What is the level of significance? Ex: 0.12
The null hypothesis is Ho: Ponline Pick PTV
The alternative hypothesis is Ha: Ponline Pick PTV
Should Ho be rejected or does Ho fail to be rejected? Pick
What conclusion can be drawn from the data?
Pick
evidence exists to support the claim that the proportion of sales generated by online advertising is
lower than the proportion generated by television advertising.
Transcribed Image Text:Jump to level 1 An advertising firm is trying to determine if a lower proportion of interactions from online advertising result in sales compared to the proportion of interactions from television advertising. The firm examines a random sample of each type of interaction. The results of the data collected are shown below. What are the population parameters? Pick Online Successes Observations Proportion Confidence level z-score p-value Television 231 Successes 1000 Observations 0.231 Proportion 95% 2.926 0.00169 206 700 0.294 What is the level of significance? Ex: 0.12 The null hypothesis is Ho: Ponline Pick PTV The alternative hypothesis is Ha: Ponline Pick PTV Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that the proportion of sales generated by online advertising is lower than the proportion generated by television advertising.
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