Can you help me with these questions, please?
Thank you.
1. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation of 30 items. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day.
The statistisians should answer the question: Is the difference of 230 and 200 statistically significant?
What is the correct formula of the Null Hypothesis for this study?
2.. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation of 30 items. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day.
What would be the sample error in this study?
3. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation of 30 items. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day.
What would be the test-statistics in this study?
4. Identify the correct formula for Z-test, if the mean of the population is μ, the mean of the sample is x̅
the standard deviation of the population is σ, and the size of the sample is n.
5.
The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation of 30 items. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day.
The statistisians should answer the question: Is the difference of 230 and 200 statistically significant?
If the Z-test is 10, and Z-critical = + or - 1.96, what is the result of the test.
b. Z-critical < Z-test, therefore, I will reject the null. The difference of productivity after the training is statistically significant.
6. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation unknown. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day, with standard deviation 100. The statistisians should answer the question: Is the difference of 230 and 200 statistically significant? Calculate the sampling error?
7. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation unknown. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day, with standard deviation 100. The statistisians should answer the question: Is the difference of 230 and 200 statistically significant?
What is the degree of freedom in this case?
8. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation unknown. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day, with standard deviation 100. The statistisians should answer the question: Is the difference of 230 and 200 statistically significant?
If the level of significance is alpha = 0.05, what would be the critical value for the t-test?
9. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation unknown. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day, with standard deviation 100. The statistisians should answer the question: Is the difference of 230 and 200 statistically significant?
Calculate the t-test?
10.
Can you help me with these questions, please?
Thank you.
1. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation of 30 items. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day.
The statistisians should answer the question: Is the difference of 230 and 200 statistically significant?
What is the correct formula of the Null Hypothesis for this study?
2.. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation of 30 items. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day.
What would be the sample error in this study?
3. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation of 30 items. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day.
What would be the test-statistics in this study?
4. Identify the correct formula for Z-test, if the mean of the population is μ, the mean of the sample is x̅
the standard deviation of the population is σ, and the size of the sample is n.
5.
The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation of 30 items. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day.
The statistisians should answer the question: Is the difference of 230 and 200 statistically significant?
If the Z-test is 10, and Z-critical = + or - 1.96, what is the result of the test.
b. Z-critical < Z-test, therefore, I will reject the null. The difference of productivity after the training is statistically significant.
6. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation unknown. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day, with standard deviation 100. The statistisians should answer the question: Is the difference of 230 and 200 statistically significant? Calculate the sampling error?
7. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation unknown. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day, with standard deviation 100. The statistisians should answer the question: Is the difference of 230 and 200 statistically significant?
What is the degree of freedom in this case?
8. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation unknown. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day, with standard deviation 100. The statistisians should answer the question: Is the difference of 230 and 200 statistically significant?
If the level of significance is alpha = 0.05, what would be the critical value for the t-test?
9. The researcher is testing a hypothesis about the productivity. In the last three years, the average productivity of workers was 200 items per day, with standard deviation unknown. To increase the productivity, managers conducted special training. After the training, a random sample with size 100 was selected from the population of all workers. The average productivity for this sample was 230 items per day, with standard deviation 100. The statistisians should answer the question: Is the difference of 230 and 200 statistically significant?
Calculate the t-test?