A recent survey reported that small businesses spend 24 hours a week marketing their business. A local chamber of commerce claims that small businesses in their area are not growing because these businesses are spending less than 24 hours a week on marketing. The chamber conducts a survey of 80 small businesses within their state and finds that the average amount of time spent on marketing is 23.0 hours a week. Assuming that the population standard deviation is 5.4 hours, is there sufficient evidence to support the chamber of commerce’s claim at the 0.02 level of significance? Step 3 of 3 : Draw a conclusion and interpret the decision. 1. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing. 2. We fail to reject the null hypothesis and conclude that there is insufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing. 3. We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing. 4. We reject the null hypothesis and conclude that there is sufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing.
A recent survey reported that small businesses spend 24 hours a week marketing their business. A local chamber of commerce claims that small businesses in their area are not growing because these businesses are spending less than 24 hours a week on marketing. The chamber conducts a survey of 80 small businesses within their state and finds that the average amount of time spent on marketing is 23.0 hours a week. Assuming that the population standard deviation is 5.4 hours, is there sufficient evidence to support the chamber of commerce’s claim at the 0.02 level of significance? Step 3 of 3 : Draw a conclusion and interpret the decision. 1. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing. 2. We fail to reject the null hypothesis and conclude that there is insufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing. 3. We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing. 4. We reject the null hypothesis and conclude that there is sufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
A recent survey reported that small businesses spend 24 hours a week marketing their business. A local chamber of commerce claims that small businesses in their area are not growing because these businesses are spending less than 24 hours a week on marketing. The chamber conducts a survey of 80 small businesses within their state and finds that the average amount of time spent on marketing is 23.0 hours a week. Assuming that the population standard deviation is 5.4 hours, is there sufficient evidence to support the chamber of commerce’s claim at the 0.02 level of significance?
Step 3 of 3 : Draw a conclusion and interpret the decision.
1. We reject the null hypothesis and conclude that there is insufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing.
2. We fail to reject the null hypothesis and conclude that there is insufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing.
3. We fail to reject the null hypothesis and conclude that there is sufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing.
4. We reject the null hypothesis and conclude that there is sufficient evidence at a 0.02 level of significance to support the chamber's claim that businesses are spending less than 24 hours a week on marketing.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman