A car dealership claims that 25% of people that take a test-drive end up buying a car at your dealership within one month of the test-drive. You sample 300 people that took a test-drive and find that 20% of them bought a car at the dealership within one month. a. Test the dealership’s claim at the 0.05 alpha level. b. what is the p-value. c. State the hypothesis that you are checking and summarize your results.

A car dealership claims that 25% of people that take a test-drive end up buying a car at your dealership within one month of the test-drive. You sample 300 people that took a test-drive and find that 20% of them bought a car at the dealership within one month. a. Test the dealership’s claim at the 0.05 alpha level. b. what is the p-value. c. State the hypothesis that you are checking and summarize your results.

Name: A car dealership claims that 25% of people that take a test-drive end
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: A car dealership claims that 25% of people that take a test-drive end up buying a car at your dealership within one month of the test-drive. You sample 300 people that took a test-drive and find that 20% of them bought a car at the dealership within

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

See similar textbooks

Similar questions

A District manager kept track of the sales of 14 stores before the start of an advertisement campaign and after the sales campaign. Check for significant gains in sales at the 0.05 alpha level. State the hypothesis that you are checking. Summarize your results. Store number Daily sales: Pre-sales campaign Daily sales: Post-sales campaign 1 $10,000 $7,000 2 $9,000 $7,500 3 $8,500 $8,000 4 $8,000 $8,500 5 $9,000 $8,500 6 $10,000 $7,500 7 $9,000 $8,000 8 $8,000 $8,500 9 $8,500 $9,000 10 $9,000 $9,500 11 $11,000 $10,000 12 $10,000 $11,000 13 $8,000 $11,500 14 $7,000 $12,000
I’m interested in whether or not kids get hyper based on the type of drink they consume. I measure/define “hyper” as the time they spend running around. I recruited six kids to try 4 different drinks: water (my control), milk, Coke, and Coffee. I record the time (in minutes) spent running around after consuming each beverage. Using the data below, run a repeated measures ANOVA and assess whether the type of beverage impacts how much time kids spend active at an alpha level of 0.05. Kid Water Milk Coke Coffee Row means 1 5 3 10 12 2 6 3 12 15 3 4 4 9 14 4 4 4 14 16 5 7 4 13 15 6 5 3 10 15 What is the null hypothesis? What is the alternative hypothesis? What is my total df? ___________ Between-groups (Drink) df? ___________ Between-persons df? ___________ Error df? _____________ What is the critical F value? _______________ Fill in the ANOVA…
I’m interested in whether or not kids get hyper based on the type of drink they consume. I measure/define “hyper” as the time they spend running around. I recruited six kids to try 4 different drinks: water (my control), milk, Coke, and Coffee. I record the time (in minutes) spent running around after consuming each beverage. Using the data below, run a repeated measures ANOVA and assess whether the type of beverage impacts how much time kids spend active at an alpha level of 0.05. Kid Water Milk Coke Coffee Row means 1 5 3 10 12 2 6 3 12 15 3 4 4 9 14 4 4 4 14 16 5 7 4 13 15 6 5 3 10 15 1. Fill in the ANOVA summary tables below: Source Sum of Squares df MS (Variance) F Between-groups (Drink) ________ 3 _____ _____ Error ________ _____ _____ Total ________ _____ Source Sum of Squares df…
What statistical test would you use for each of the following scenarios? What would you set your alpha-level at? Dahlia is interested in how depression impacts willingness to exercise and go to the gym. In order to do this, she has to have a large sample size, so she decides to send out a survey to all college students at SUNY Cortland. Once she receives 80% of the surveys back from the students she begins to record the data. Because of the responses to her questionnaires, she will not have normally distributed data. In this case, what might be the best statistical test to use to determine whether going to the gym/willingness to exercise is impacted by depression? Why?
If you have a hypothesis test with alpha = 0.09, which of the following P-Values does NOT imply statistical significance? 0.007 0.033 0.086 0.149
In general, changing the alpha level from .05 to .01 will… Select one: a. increase the likelihood of rejecting the Ho, and increase the risk of a Type I error b. decrease the likelihood of rejecting the Ho, and increase the risk of a Type I error c. increase the likelihood of rejecting the Ho, and decrease the risk of a Type II error d. decrease the likelihood of rejecting the Ho, and increase the risk of a Type II error
Dr. Stevenson reported the following in a journal: “F (4, 106) = 10.09, p = .04.” Should Dr. Stevenson state that there are significant differences among the variable means at a .01 alpha level?
Which of the following statements is true regarding the influence of a small alpha level in the context of hypothesis testing? a. A small alpha level reduces the likelihood of a Type I error. b. A small alpha level reduces the effect size. c. A small alpha level increases statistical power. d. A small alpha level increases the likelihood of detecting statistical significance.
You complete a hypothesis test using alpha = .05 and based on the evidence from the sample, your decision is to fail to reject the null hypothesis. If the treatment actually does have an effect, which of the following is true?
A researcher first decided to conduct a two-tailed hypothesis test, with alpha = .05, but then decided she wants to reduce the risk of a Type I error. What should she do? a. Calculate her statistics more carefully. b. Decrease alpha to .01 c. Increase alpha to .15 e. Conduct a three-tailed test
A random sample of 10 professional athletes produced the following data where X is the number of endorsements the player has and Y is the amount of money made (in millions of dollars). Use the 4 steps of hypothesis testing to see if the prediction is significant with a criteria of alpha=.05 on the following data. x y 0 2 3 8 2 7 1 3 5 13 5 12 4 9 3 9 0 3 4 10
The following data were collected from a repeated-measures study. Perform an ANOVA. Use a .05 alpha level. Treatment A B _____________ G = 36 2 6 2 6 ΣX2 = 192 4 4 4 8 ______________ T = 12 T = 24 SS = 4 SS = 8 1) State the null hypothesis. 2) Calculate necessary statistics (USE AN ANOVA even though K=2, and a = .05). 3) Make a decision about your null hypothesis and explain what that decision means. 4) Make a conclusion about your IV and DV that includes an APA format summary of your statistical analysis