To test whether or not there is a difference between treatments A, B, and C, a sample of 12 observations has been randomly assigned to the 3 treatments. You are given the results below. Treatment Observation A 20 30 25 33 B 22 26 20 28 C 40 30 28 22 The null hypothesis for this ANOVA problem is

Answer:

H0 : //μA = μB = μC

Step-by-step explanation:

Given the data:

Treatment | Observation

A | 20 | 30 | 25 | 33

B | 22 | 26 | 20 | 28

C | 40 | 30 | 28 | 22

To test whether there is a difference between the group means of a sample ; the ANOVA test is employed ;

The appropriate hypothesis test:

The alternative hypothesis will habour the notion that there is a difference in sample means while the alternative will be opposite, that is, no difference exists in the sample means for the three treatments :

Null hypothesis ; H0 : μA = μB = μC ;

The alternative hypothesis, takes the opposite of the null ;

H1 : μA ≠ μB ≠ μC (this means that the mean values of the treatments are not the same

The null hypothesis will

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Use the weight on the scales to determine the weight of each egg.
Note: Identical eggs weigh the same amount,

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DIAGRAM:
WORK:
ANSWER:

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O No, the order of the questions is unknown.
O Yes, all four conditions in BINS have been met.
O No, the answers are not independent of one another.
O No, we do not know how many quizzes this teacher will give.
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16.
There are two adjacent supplementary angles. The larger angle is 2
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A 95% confidence interval for the slope of the regression line relating the number of grams of carbohydrates and the number of kilocalories per 100-gram sample of various raw foods is given by (2.505,6.696). The confidence interval is based on a random sample of n raw foods. A check of the conditions for inference on the slope shows they are reasonably met. Which of the following is a correct interpretation of the interval?
A. 95% of all such samples of size n will produce a sample slope between 2.505 and 6.696 for the regression line relating grams of carbohydrates and kilocalories per 100- g sample of various raw foods.
B. The probability is 0.95 that the true slope of the regression line relating grams of carbohydrates and kilocalories per 100-g sample of various raw foods is between 2.505 and 6.696.
C. We are 95% confident that the slope of the regression line for the random sample of n raw foods is between 2.505 and 6.696.
D We are 95% confident that the predicted number of kilocalories per 100-g sample will be between 2.505 and 6.696.
E. We are 95% confident that the true slope of the regression line relating grams of carbohydrates and kilocalories per 100-g sample of various raw foods is between 2.505 and 6.696.