Hey folks,
I was hoping someone would understand this better than I do. I am trying to solve the following problem:
We are testing the hypothesis that the average gas consumption per day in Billings, Montana is greater than 7 gallons per day; we want 95% confidence.
We sample 30 drivers. The average is 8.4, and the sample standard deviation is 4.29. Our null hypothesis is H0:μ≤7
1) What is the Z-value for our sample mean of 8.4?
2) What is the p-value for our sample mean of 8.4?
3) Do we reject the null hypothesis?
Now, my first reaction is to use the z-score formula for converting sample mean: z = (x – μ) / (σ / √n), but I don't seem to have all the data required for this, since there is just one mean given. I can't figure out what I am missing! I don't expect a calculation for me (obviously!), but could someone lead me to the right way of calculating this? Many thanks in advance!
I was hoping someone would understand this better than I do. I am trying to solve the following problem:
We are testing the hypothesis that the average gas consumption per day in Billings, Montana is greater than 7 gallons per day; we want 95% confidence.
We sample 30 drivers. The average is 8.4, and the sample standard deviation is 4.29. Our null hypothesis is H0:μ≤7
1) What is the Z-value for our sample mean of 8.4?
2) What is the p-value for our sample mean of 8.4?
3) Do we reject the null hypothesis?
Now, my first reaction is to use the z-score formula for converting sample mean: z = (x – μ) / (σ / √n), but I don't seem to have all the data required for this, since there is just one mean given. I can't figure out what I am missing! I don't expect a calculation for me (obviously!), but could someone lead me to the right way of calculating this? Many thanks in advance!