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.

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

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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.

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.

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.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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