Question

In: Math

Companies often develop and test hypotheses about their products. For example, car manufacturers will test their...

Companies often develop and test hypotheses about their products. For example, car manufacturers will test their cars to determine fuel efficiency and miles per gallon. To ensure that products are safe and that they perform as advertised, regulatory and consumer protection groups also test companies’ claims.

For this Assignment, you are working at a firm that conducts independent testing for heavy industry. Recently, an automobile manufacturer has been in the news for complaints about the highway gas mileage of their latest model minivan. You receive a contract from a consumer action group to test and write a report on the company’s claim that its minivans get 28 miles per gallon on the highway. The car company agrees to allow you to select randomly 35 low-mileage fleet minivans to test their highway mileage. Your test results gave you the following data:

29.7     24.5     27.1     29.8     29.2     27.0     27.8     24.1     29.3

            25.9     26.2     24.5     32.8     26.8     27.8     24.0     23.6     29.2

            26.5     27.7     27.1     23.7     24.1     27.2     25.9     26.7     27.8                

            27.3     27.6     22.8     25.3     26.6     26.4     27.1     26.1

Complete the following and include your results and responses in your report (use alpha = 0.05):

  • List the null and alternative hypotheses for the two-tail test for the mean. Calculate the observed value of the test statistic and the associated p-value. (75–150 words, or 1–2 paragraphs)
    • Is the observed test statistic in the critical region? Is the p-value higher or lower than your alpha? (75–150 words, or 1–2 paragraphs)
    • Note: Include your calculations. If your calculations are submitted separately, make note of where they can be found.
  • List the null and alternative hypotheses for the one-tail test of the mean. Calculate the observed value of the test statistic and the associated p-value. (75–150 words, or 1–2 paragraphs)
    • Is the observed test statistic in the critical region? Will the p-value be higher or lower than your alpha? (75–150 words, or 1–2 paragraphs)
    • Note: Include your calculations. If your calculations are submitted separately, make note of where they can be found.

Conclusions

In your report, use the confidence interval information and the results of the hypothesis testing to provide support for your conclusions and recommendations to the company. Specifically:

Question 1. What conclusions did you reach? What did you learn about the situation by using each method? Did one method offer more conclusive proof than another? (150–225 words, or 2–3 paragraphs)

Question 2. Based on your results, do you support the company’s claim that their minivans get 28 miles per gallon? (75 words, or 1 paragraph)

Question 3. Summarize the details of your test methods and the results from each statistical method you used. Explain the findings so that executives from both the agency and the company can understand your conclusion. (150–225 words, or 2–3 paragraphs)

Question 4. Finally, present recommendations for actions that the company might take to use your findings to better serve their customers in the future. (75 words, or 1 paragraph)

Solutions

Expert Solution


Related Solutions

14.       In formulating hypotheses for a statistical test of significance, the null hypothesis is often            ...
14.       In formulating hypotheses for a statistical test of significance, the null hypothesis is often             a.   a statement of “no effect” or “no difference.”             b.   the probability of observing the data you actually obtained.             c.   a statement that the data are all 0.             d.   0.05. 15.       In assessing the validity of any test of hypotheses, it is good practice to             a.   examine the probability model that serves as a basis for the test by using...
Hypothesis test It is often useful for companies to know who their customers are and how...
Hypothesis test It is often useful for companies to know who their customers are and how they became customers. In a study of credit card use, random samples were drawn of cardholders who applied for the credit card and credit card holders who were contacted by telemarketers or by mail. The total purchases made by each last month were recorded. Can we conclude from these data that differences exist on average between the two types of customers? Test the claim...
Here we are going to test a couple of hypotheses about the Old Faithful data in...
Here we are going to test a couple of hypotheses about the Old Faithful data in R. Remember, this is the faithful data frame that is built in to R. You can use data(faithful) to load data set. First split faithful into two separate data frames: (1) those entries with eruption times less than 3 minutes (eruptions < 3) and (2) those entries with eruption times greater than or equal to 3 minutes (eruptions >= 3). Answer the following about...
Food companies have often been accused of targeting children with adverts for unhealthy products such as...
Food companies have often been accused of targeting children with adverts for unhealthy products such as fast food, confectionery and snacks. Assess the extent of advertising of ‘unhealthy food’ to children based on this evidence is it more or less than other products? Are children targeted more than adults?
Businesses often sample products to test the proportion of defectives. Suppose a company that assemble automobiles...
Businesses often sample products to test the proportion of defectives. Suppose a company that assemble automobiles wants to check the quality of batteries it buys from a supplier. Out of each shipment of 1,000 batteries, they will take a sample of 10 and test them. Assuming that, in fact, 2% of the batteries are defective, how likely are they to reject a shipment? Generate the binomial table (Even though it may seem illogical, consider a defective to be a ‘success’...
9 The product life cycle model ________________________________________. helps companies develop new products explains the time it...
9 The product life cycle model ________________________________________. helps companies develop new products explains the time it takes for a population to fully accept a new product describes reasons for why consumers buy or don't buy a particular product helps managers understand how marketing strategies need to be adapted as market conditions change helps managers predict how much time it will take to bring a product to market
give some example about a cross-border mergers and acquisitions company. the companies must be lised companies.
give some example about a cross-border mergers and acquisitions company. the companies must be lised companies.
give some example about a cross-border mergers and acquisitions company. the companies must be lised companies.
give some example about a cross-border mergers and acquisitions company. the companies must be lised companies.
When calculating premiums on life insurance products insurance companies often use life tables which enable the...
When calculating premiums on life insurance products insurance companies often use life tables which enable the probability of a person dying in any age interval to be calculated. The following table gives the number out of 100,000 females who are still alive during each five-year period of life between the age of 20 to 60 (inclusive): Out of 100,000 females born                         Exact age (years)                                          Number alive at exact age 20                                                                                                99,150 25                                                                                                 98,983 30                                                                                           ...
CHAPTER 10 LECTURE NOTES EXAMPLE #3 A car manufacturer wants to test a new engine to...
CHAPTER 10 LECTURE NOTES EXAMPLE #3 A car manufacturer wants to test a new engine to see whether it meets new air pollution standards. The mean emission, μ, of all engines of this type must be less than 20 parts per million of carbon. Ten engines are manufactured for testing purposes, and the mean and standard deviation of the emissions for this sample of engines are determined to be: X¯¯¯=17.1 parts per million     s=3.0 parts per million     n = 10X¯=17.1 parts per...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT