o study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow. Temperature 50°C 60°C 70°C 34 31 24 23 32 28 37 34 27 38 23 30 28 25 36 Construct an analysis of variance table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.) Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Error Total Use a 0.05 level of significance to test whether the temperature level has an effect on the mean yield of the process. State the null and alternative hypotheses. H0: ?50°C = ?60°C = ?70°C Ha: Not all the population means are equal.H0: Not all the population means are equal. Ha: ?50°C = ?60°C = ?70°C H0: ?50°C ≠ ?60°C ≠ ?70°C Ha: ?50°C = ?60°C = ?70°CH0: At least two of the population means are equal. Ha: At least two of the population means are different.H0: ?50°C = ?60°C = ?70°C Ha: ?50°C ≠ ?60°C ≠ ?70°C Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. Do not reject H0. There is not sufficient evidence to conclude that the mean yields for the three temperatures are not equal.Do not reject H0. There is sufficient evidence to conclude that the mean yields for the three temperatures are not equal. Reject H0. There is sufficient evidence to conclude that the mean yields for the three temperatures are not equal.Reject H0. There is not sufficient evidence to conclude that the mean yields for the three temperatures are not equal.

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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Question

To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow.

Temperature
50°C	60°C	70°C
34	31	24
23	32	28
37	34	27
38	23	30
28	25	36

Construct an analysis of variance table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.)

Source of Variation	Sum of Squares	Degrees of Freedom	Mean Square	F	p-value
Treatments
Error
Total

Use a 0.05 level of significance to test whether the temperature level has an effect on the mean yield of the process.

State the null and alternative hypotheses.

H₀: ?_50°C = ?_60°C = ?_70°C
H_a: Not all the population means are equal.H₀: Not all the population means are equal.
H_a: ?_50°C = ?_60°C = ?_70°C H₀: ?_50°C ≠ ?_60°C ≠ ?_70°C
H_a: ?_50°C = ?_60°C = ?_70°CH₀: At least two of the population means are equal.
H_a: At least two of the population means are different.H₀: ?_50°C = ?_60°C = ?_70°C
H_a: ?_50°C ≠ ?_60°C ≠ ?_70°C

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

State your conclusion.

Do not reject H₀. There is not sufficient evidence to conclude that the mean yields for the three temperatures are not equal.Do not reject H₀. There is sufficient evidence to conclude that the mean yields for the three temperatures are not equal. Reject H₀. There is sufficient evidence to conclude that the mean yields for the three temperatures are not equal.Reject H₀. There is not sufficient evidence to conclude that the mean yields for the three temperatures are not equal.

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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