A manufacturer of trucks wishes to test if the hoods being received from a supplier have an average weight greater than 17 pounds with a level of significance of 0.05. A random sample size of size 12 produced a sample mean of 17.2 pounds and a test statistic value of 1.54 calculated using the sample standard deviation. Which one of the following is the correct decision to make for this hypothesis test?

Use the following scenario to answer the next 6 questions. An engineer has designed a valve that will regulate water pressure on an automobile engine.  The valve was tested on 30 engines and the mean pressure was 4.8 psi with a standard deviation of 1 psi.  If the valve was designed to produce an overall mean pressure of 5.0 psi, is there sufficient evidence at the 10% level of significance that the valve performs below specifications? The appropriate hypothesis test for this scenario is:   Group of answer choices right-tailed two-tailed left-tailed

You are a manager of a building that hosts the local farmers market for a town. You want to investigate if the average amount of sales for a vendor per week at your building is greater than $2040. After surveying 17 of their vendors, you find that mean sales per week of the vendors sampled was $2110 with a standard deviation of $114.03. What is the value of the test statistic for your hypothesis test? Note: 1- Only round your final answer. Round your final answer to two decimal places.

A manufacturer of potato chips would like to know whether its bag filling machine works correctly at the 433 gram setting. It is believed that the machine is underfilling or overfilling the bags. A 11 bag sample had a mean of 428 grams with a standard deviation of 26. Assume the population normally distributed. A level of significance of 0.05 will be used. Specify the type of hypothesis test.

The coach of a very popular men’s basketball team claims that the average distance the fans travel to the campus to watch a game is 35 miles. The team members feel otherwise. A sample of 16 fans who travel to games was randomly selected and yielded a mean of M= 36 miles and s= 5 miles. Test the coach’s claim at the 5% (.05) level of significance.    one-tailed or two-tailed test:  State the hypotheses: df= tα or t value for the critical region =  sM =    t (test statistic)= Decision:

According to a large oil company, the average cost per barrel of oil last year was $47. You believe that due to the current oil crisis in Russia and Iran that the cost of a barrel of oil has decreased. You collect a simple random sample of 60 barrels of oil and find an average price of $42 and a standard deviation of $12. Use this information to answer the following questions and conduct the hypothesis test with a level of significance of a = .01. You may use Statcrunch or a calculator. Write all non-calculation answers in complete sentences. a. Which test would you use and why? b. Write the null and alternative hypothesis in complete sentences. (Make sure you mark which is the null and which is the alternative.) c. Write the null and alternative hypothesis as symbols. d. State the requirements that have been met to run the test. e. What is the test statistic and the p-value? (Make sure you use the right notation.) f. Should you reject or fail to reject the null hypothesis? g. State…

We want to conduct a hypothesis test of the claim that for middle-aged adults the population's mean of their cholesterol levels is more than 199.3 mgdL. We choose a random sample of such levels. The sample has a mean of 197.3 mgdL and a standard deviation of 19.5 mgdL. For each of the following sampling scenarios, choose an appropriate test statistic for our hypothesis test on the population mean. Then calculate that statistic. Round your answers to two decimal places. (a) The sample has size 105, and it is from a non-normally distributed population with a known standard deviation of 19.2.       z =       t =        It is unclear which test statistic to use.   (b) The sample has size 12, and it is from a normally distributed population with an unknown standard deviation.       z =        t =        It is unclear which test statistic to use.

The cost of a car is $30k at Joe's Garage. You cant to see if the cost is lower at Pete's Garage. To test, you collect data from 64 buyers who recently bought cars. The average of your sample is $29,760, with a sample standard deviation of $7,450. Using this data to perform the hypothesis test with H0: u=30,000 vs H0:u<30,000, what is the p-value of this test, and what is the conclusion of this test at the a=.05 level?