Movie theatres like AMC, Regal, and Cinemark estimate that 4…
Movie theatres like AMC, Regal, and Cinemark estimate that 40% of their customers buy popcorn when they see a movie at the theatre. Create a sampling distribution of n = 600. i. What type of data best describes the parameter of this problem? Type p for proportion, m for mean, sd for standard deviation. [ans1] ii. What type of data best describes the middle value of the sampling distribution? Type p for proportion, m for mean, sd for standard deviation. [ans2] Round your answers to 2 decimal places if necessary. iii. Find the value of the statistic for the sampling distribution. [ans3] iv. Find the standard error associated with the sampling distribution. [ans4] v. Find the probability that a random sample size of 600 would have between 39 and 41% of the customers saying they would buy popcorn at the movie theatre. [ans5] vi. Is it safe to assume that for a sample size of 600 people, you are pretty confident that less than 50% of the customers will be buying popcorn at the theatre. [ans6] Type y for yes or n for no.
Read DetailsRefer to the 4 scatterplots below to answer the first three…
Refer to the 4 scatterplots below to answer the first three questions. i. Which scatterplot has the strongest correlation between points? Type in a, b, c, or d [ans1] ii. How many of the given scatterplots show “no correlation” between the points? Type in 0, 1, 2, or 4. [ans2] iii. For scatterplot (c), the best estimate for the r value from the choices below is: [ans3] a. -0.70 b. 0.90 c. 0.10 d. 0.60 —————————————————————————————– Use a linear regression to model the scatterplot given by the x/y table below: iv. Describe the correlation between the given x & y values: Type in a, b, c, d, or e from the choices below: [ans4] a. weak positive b. weak negative c. strong positive d. strong negative e. no correlation v. Find the slope and y-intercept value for the linear regression equation: Round the slope to TWO DECIMAL places. Round the y-intercept to the nearest WHOLE number. slope = [ans5] y-intercept = [ans6] vi. Using the EXACT VALUES from the calculator to build your linear regression equation, the predicted value of 51 most likely occurs at an x value = [ans7] a. 78 b. 79 c. 80 d. 81 vii. The predicted line is most accurate with the scatterplot at x = Type in a, b, c, or d from the choices below: [ans8] a. 50 b. 55 c. 70 d. 82 e. 90
Read DetailsThe average cost of a men’s haircut in Los Angeles County is…
The average cost of a men’s haircut in Los Angeles County is $18 with a standard deviation of $6. Assume the data follows a normal distribution. From a sample of 30 barbershops in the West Hollywood area of Yelp, it was found that the average cost of a men’s haircut was $22 with a standard deviation of $8. Is there enough evidence to suggest that an average men’s haircut is not $22? Test the claim with a level of significance = 0.05. The population parameter in this problem = [ans1] The standard deviation associated with the statistic in this problem = [ans2] Step 2: Test the Claim What type of test score should you convert the statistic into? [ans3] Which formula below would you use to calculate the test score? [ans4] What is the value of that test score? [ans5] What is the value of the critical score? [ans6]
Read DetailsWhen the alternative hypothesis is true and your conclusion…
When the alternative hypothesis is true and your conclusion is to reject the null, what type of error is this? [ans1] When the null hypothesis is false and your conclusion is to reject the null, what type of error is this? [ans2] When the null hypothesis is false and your conclusion is to fail to reject the null, what type of error is this? [ans3]
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