build your own hypothesis test similar to the example below.In your initial post, you only need to set up the problem

Be sure to include (a) the Context of your problem, (b) mean, sample size, and standard deviation for your sample and (c) the claim that you wish to test

here is a example

Let's say that XYZ car company boasts that it's new car Eco Auto gets more than 55 miles to the gallon, with a standard deviation of 1.5.Let's say that we tested 35 cars and found a sample mean of 57.Test the company's claim.

Sample Response Post:

1. Null and alternative hypothesis:
2. Let = average miles per gallon for all Eco Auto carsHo: = 55 (or less)Ha: > 55(this is the company's claim - "more than 55 mpg")
3. Using the z-score calculator, I find the z-score is 1.33(Raw score is 57, population mean is 55).Using the p-value calculator, I find that the p-value is 0.092 (rounded to 2 significant digits)
4. with =.05, 1 tailed test, I find that the result is not significant at alpha = .05.Since my p-value is greater than .05, we FAIL TO REJECT the null hypothesis.We do not have evidence that the fuel efficiency of the cars is greater than 55 mpg.