Thumbs up if you achieve these in a few 1- The historical mean yield of soybeans from farms in Iowa is 32.9 bushels per acre. A hypothesis test is run to test the claim that the true mean yield of a dry summer was less than the historical mean. If the farmers believe they have evidence of a dry summer (smaller true mean yield), then they will spend a lot of money on irrigation system. Which of the following describes what making a Type I error for this problem is?     1. We do not support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean less than 32.9 bushels per acre.     2. We support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is at least 32.9 bushels per acre.     3. We support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is less than 32.9 bushels per acre.     4. We do not support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is at least 32.9 bushels per acre.   2- The historical mean yield of soybeans from farms in Iowa is 32.9 bushels per acre. A hypothesis test is run to test the claim that the true mean yield of a dry summer was less than the historical mean. If the farmers believe they have evidence of a dry summer (smaller true mean yield), then they will spend a lot of money on irrigation system. Which of the following describes what making a Type II error for this problem is?       1.   We do not support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is at least 32.9 bushels per acre.       2.   We support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is at least 32.9 bushels per acre.     3.   We do not support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is less than 32.9 bushels per acre.     4.   We support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is less than 32.9 bushels per acre.     3- The historical mean yield of soybeans from farms in Iowa is 32.9 bushels per acre. A hypothesis test is run to test the claim that the true mean yield of a dry summer was less than the historical mean. If the farmers believe they have evidence of a dry summer (smaller true mean yield), then they will spend a lot of money on irrigation system. Which of the following describes the likely consequence of making a Type I error for this problem is?     1. Farmers spend a lot of money on an irrigation system that is not needed.     2. Farmers do not spend a lot of money on an irrigation system that is not needed.     3. Farmers spend a lot of money on an irrigation system that is needed.     4. Farmers do not spend a lot of money on an irrigation system that is needed.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Topic Video
Question

Thumbs up if you achieve these in a few

1- The historical mean yield of soybeans from farms in Iowa is 32.9 bushels per acre. A hypothesis test is run to test the claim that the true mean yield of a dry summer was less than the historical mean. If the farmers believe they have evidence of a dry summer (smaller true mean yield), then they will spend a lot of money on irrigation system.

Which of the following describes what making a Type I error for this problem is?

 

  1.

We do not support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean less than 32.9 bushels per acre.

 

  2.

We support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is at least 32.9 bushels per acre.

 

  3.

We support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is less than 32.9 bushels per acre.

 

  4.

We do not support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is at least 32.9 bushels per acre.

 

2-

The historical mean yield of soybeans from farms in Iowa is 32.9 bushels per acre. A hypothesis test is run to test the claim that the true mean yield of a dry summer was less than the historical mean. If the farmers believe they have evidence of a dry summer (smaller true mean yield), then they will spend a lot of money on irrigation system.

Which of the following describes what making a Type II error for this problem is?

 

 

  1.

 

We do not support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is at least 32.9 bushels per acre.

 

 

  2.

 

We support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is at least 32.9 bushels per acre.

 

  3.

 

We do not support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is less than 32.9 bushels per acre.

 

  4.

 

We support the claim that the true mean yield is less than 32.9 bushels per acre when in fact the true mean is less than 32.9 bushels per acre.

 

 

3-

The historical mean yield of soybeans from farms in Iowa is 32.9 bushels per acre. A hypothesis test is run to test the claim that the true mean yield of a dry summer was less than the historical mean. If the farmers believe they have evidence of a dry summer (smaller true mean yield), then they will spend a lot of money on irrigation system.

Which of the following describes the likely consequence of making a Type I error for this problem is?

 

  1.

Farmers spend a lot of money on an irrigation system that is not needed.

 

  2.

Farmers do not spend a lot of money on an irrigation system that is not needed.

 

  3.

Farmers spend a lot of money on an irrigation system that is needed.

 

  4.

Farmers do not spend a lot of money on an irrigation system that is needed.

 

Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Knowledge Booster
Hypothesis Tests and Confidence Intervals for Means
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.
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
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 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…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
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
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman