
Concept explainers
Question 1
It is widely assumed that the average cost to produce a film is $60 million. A random sample of 15 action movies was selected and they had an average production cost of $62.3 million with a standard deviation of $3.25 million. At the 0.05 level of significance, can it be concluded that it costs more than average to produce an action movie?
Question 2
Suppose a fair six-sided die is tossed to see if it fair. We roll the die 300 times and observe the frequency of occurrence of each of the faces. Since the die contains six sides, we expect that the number on each side will occur 50 times. The following frequencies were observed:
Face value Occurrence
1 42
2 55
3 38
4 57
5 64
6 44
Conduct a Chi-sq Goodness of Fit test to see if the die should still be considered fair.
Question 3
An analyst wanted to analyze the relationship between the speed of a car (x) measured in mph and its gas mileage (y). As an experiment a car is operated at several different speeds and for each speed the gas mileage is measured. These data are shown below.
Speed 25 35 45 50 60 65 70
Gas Mileage 40 39 37 33 30 27 25
What is the dependent variable?
What is the independent variable?
Question 4
The following output was generated using statistical software.
Coefficients Standard Error t Stat P-value
Intercept 50.65625 1.891010513 26.79 0.13529
Speed -0.353125 0.036201476 -9.754 0.00019
List the prediction equation for gas mileage based on speed.
What gas mileage is expected for a vehicle traveling 80 mph?
Is speed a good predictor of gas mileage based on the output? Explain your answer.

Trending nowThis is a popular solution!
Step by stepSolved in 4 steps with 5 images

- Which of the following statements are true? There may be more than one true statement; check all that are true. Question 11 options: a) The only reason to carry out an observational study instead of an experiment is if we do not have enough money to run the experiment. b) The variance of the sample mean depends on the sample size and the population variance. c) For large sample sizes, the sample mean will tend to have a normal distribution, whereas for small sample sizes it will tend to have a uniform distribution. d) Randomization can be a useful tool in statistical studies, but only for large sample sizes.arrow_forwardQuestion 4 The mean room and board expense per year at four-year colleges is €7,540 and standard deviation is €1245. Assume the room and board yearly expense is normally distributed. You select a simple random sample of 9 colleges. a. What is the probability that the mean room and board is less than €7800? b. What is the probability that the mean room and board is between €7295 and €8765?arrow_forward. Each member of a large genetics class grows 12 pea plants from an independent pea family. Each family is expected to have 3/4 plants with smooth peas and 1/4 plants with wrinkled peas. a. On average, how many wrinkled pea plants will a student see in her 12 plants? b. What is the standard deviation of the proportion of wrinkled pea plants per student? c. What is the variance of the proportion of wrinkled pea plants per student? d. Predict what proportion of the students saw exactly two wrinkled pea plants in their sample.arrow_forward
- Question 3 – Sampling Distribution (10 marks)The Economics Policy Institute periodically issues reports on wages of entry-level workers.The Institute reported that entry-level wages for male college graduates were $43.36 perhour, and for female college graduates were $37.60 per hour. Assume the standard deviationfor male graduates is $2.30 and for female graduates is $2.05.a. What is the probability that a sample of 50 male graduates will provide a sample meanwithin $0.50 of the population mean, $43.36? (3 marks)b. What is the probability that a sample of 50 female graduates will provide a sample meanwithin $0.50 of the population mean, $37.60? (3 marks)c. In which of the preceding two cases, part (a) or part (b), do we have a higher probabilityof obtaining a sample estimate within $0.50 of the population mean? Why? (2 marks)d. What is the probability that a sample of 120 female graduates will provide a sample meanmore than $0.30 below the population mean? (2 marks)arrow_forwardQUESTION 26 A sample of n = 7 scores has a mean of M = 65 and an estimated standard error of 2 points. What is the sample variance? a. s2 = 24 b. s2 = 36 c. s2 = 28 d. s2 = 14arrow_forwardIf an analysis of variance produces a value of F = 0, then all of the samples have exactly the same mean. Question 10 options: True Falsearrow_forward
- Problem 3: The mean yearly mileage of the vehicles in a delivery company's fleet is 51,400 miles, with a standard deviation of 4,800 miles. You take a random sample of 30 vehicles and another of 45 vehicles. What is the probability that the difference between the mean mileage of the two samples will be a) less than 2,000 miles? b) More than 500?arrow_forwardIf two large random samples are drawn from two populations, each having a mean of $100, the relevant sampling distribution of their difference has a mean of a. 200 b. The Sum of the 2 Sample Means C. 0 D. The difference between the two sample means.arrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman





