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A Group of People Received the Same Treatment

Question 36

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A group of people received the same treatment. Then the members of the initial group were randomly assigned to two new groups. Would the proportion of success be the same for the two groups? The variable A group of people received the same treatment. Then the members of the initial group were randomly assigned to two new groups. Would the proportion of success be the same for the two groups? The variable represents the observed proportion for the group 1 and the variable represents the observed proportion for the group 2. What does it mean when the ? ​ A) The observed proportion of success would necessarily be the same for these groups.The value represents the null hypothesis, which is not rejected.There is not convincing evidence the treatment proportions are different.​ B) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 1 is greater than the proportion for the group 2. C) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 2 is greater than the proportion for the group 1. D) ​ a. The observed proportion of success would necessarily be the same for these groups. The value p<sub>1</sub>-p<sub>2</sub>=0 represents the null hypothesis, which is not rejected. There is not convincing evidence the treatment proportions are different. represents the observed proportion for the group 1 and the variable A group of people received the same treatment. Then the members of the initial group were randomly assigned to two new groups. Would the proportion of success be the same for the two groups? The variable represents the observed proportion for the group 1 and the variable represents the observed proportion for the group 2. What does it mean when the ? ​ A) The observed proportion of success would necessarily be the same for these groups.The value represents the null hypothesis, which is not rejected.There is not convincing evidence the treatment proportions are different.​ B) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 1 is greater than the proportion for the group 2. C) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 2 is greater than the proportion for the group 1. D) ​ a. The observed proportion of success would necessarily be the same for these groups. The value p<sub>1</sub>-p<sub>2</sub>=0 represents the null hypothesis, which is not rejected. There is not convincing evidence the treatment proportions are different. represents the observed proportion for the group 2. What does it mean when the A group of people received the same treatment. Then the members of the initial group were randomly assigned to two new groups. Would the proportion of success be the same for the two groups? The variable represents the observed proportion for the group 1 and the variable represents the observed proportion for the group 2. What does it mean when the ? ​ A) The observed proportion of success would necessarily be the same for these groups.The value represents the null hypothesis, which is not rejected.There is not convincing evidence the treatment proportions are different.​ B) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 1 is greater than the proportion for the group 2. C) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 2 is greater than the proportion for the group 1. D) ​ a. The observed proportion of success would necessarily be the same for these groups. The value p<sub>1</sub>-p<sub>2</sub>=0 represents the null hypothesis, which is not rejected. There is not convincing evidence the treatment proportions are different. ? ​


A) The observed proportion of success would necessarily be the same for these groups.The value A group of people received the same treatment. Then the members of the initial group were randomly assigned to two new groups. Would the proportion of success be the same for the two groups? The variable represents the observed proportion for the group 1 and the variable represents the observed proportion for the group 2. What does it mean when the ? ​ A) The observed proportion of success would necessarily be the same for these groups.The value represents the null hypothesis, which is not rejected.There is not convincing evidence the treatment proportions are different.​ B) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 1 is greater than the proportion for the group 2. C) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 2 is greater than the proportion for the group 1. D) ​ a. The observed proportion of success would necessarily be the same for these groups. The value p<sub>1</sub>-p<sub>2</sub>=0 represents the null hypothesis, which is not rejected. There is not convincing evidence the treatment proportions are different. represents the null hypothesis, which is not rejected.There is not convincing evidence the treatment proportions are different.​
B) The observed proportion wouldn't necessarily be the same for these groups.The value A group of people received the same treatment. Then the members of the initial group were randomly assigned to two new groups. Would the proportion of success be the same for the two groups? The variable represents the observed proportion for the group 1 and the variable represents the observed proportion for the group 2. What does it mean when the ? ​ A) The observed proportion of success would necessarily be the same for these groups.The value represents the null hypothesis, which is not rejected.There is not convincing evidence the treatment proportions are different.​ B) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 1 is greater than the proportion for the group 2. C) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 2 is greater than the proportion for the group 1. D) ​ a. The observed proportion of success would necessarily be the same for these groups. The value p<sub>1</sub>-p<sub>2</sub>=0 represents the null hypothesis, which is not rejected. There is not convincing evidence the treatment proportions are different. represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 1 is greater than the proportion for the group 2.
C) The observed proportion wouldn't necessarily be the same for these groups.The value A group of people received the same treatment. Then the members of the initial group were randomly assigned to two new groups. Would the proportion of success be the same for the two groups? The variable represents the observed proportion for the group 1 and the variable represents the observed proportion for the group 2. What does it mean when the ? ​ A) The observed proportion of success would necessarily be the same for these groups.The value represents the null hypothesis, which is not rejected.There is not convincing evidence the treatment proportions are different.​ B) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 1 is greater than the proportion for the group 2. C) The observed proportion wouldn't necessarily be the same for these groups.The value represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 2 is greater than the proportion for the group 1. D) ​ a. The observed proportion of success would necessarily be the same for these groups. The value p<sub>1</sub>-p<sub>2</sub>=0 represents the null hypothesis, which is not rejected. There is not convincing evidence the treatment proportions are different. represents the null hypothesis, which is rejected.There is a convincing evidence that the proportion for the group 2 is greater than the proportion for the group 1.
D) ​ a. The observed proportion of success would necessarily be the same for these groups. The value p1-p2=0
represents the null hypothesis, which is not rejected. There is not convincing evidence the treatment proportions are different.

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