was $2.62 per gallon.The following data show the price per gallon of regular gasoline for 15 randomly selected stations in the state.Complete parts a through c below.2.612.532.512.692.562.632.552.672.742.682.672.622.522.752.72a. Construct a 95% confidence interval to estimate the average price per gallon of gasoline in the state.The 95% confidence interval to estimate the average price per gallon of gasoline in the state is from $$ .to(Round to the nearest cent.)

Answered: Image /qna-images/answer/b071fea5-9aa6-4f97-8a4d-bdaeee560ea2.jpg

Answered: was $2.62 per gallon. The following…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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This table contains the cost per ounce ($USD) for a sample of 14 dark chocolate bars: 0.66 0.74 0.97 1.33 1.56 0.91 0.73 0.57 1.57 0.53 a. Construct a 98% Confidence Interval estimate for the population cost per ounce of dark chocolate bars. (Have to find the sample mean and standard deviation first; sample mean becomes your point estimate) b. Construct a 90% confidence interval estimate using the same data. Which estimate gives the larger range of data?
Refer to the accompanying data set and construct a 95% confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results. a. Construct a 90% confidence interval of the mean pulse rate for adult females. (Round to one decimal place as needed.) b. Construct a 90% confidence interval of the mean pulse rate for adult males. (Round to one decimal place as needed.)
a. interpret the corresponding 95% confidence intervals for both Birth weight and Age. b. What is the predicted average SBP of an infant born with birth weight 8lbs (128oz) measured at 3 days old? c. Calculate the Pearson correlation between Age and Birth weight, and test if this correlation is significant at the 0.05 level. Does this answer surprise you, why or why not?
Refer to the accompanying data set and construct a 95% confidence interval estimate of the mean pulse rate of adult females; then do the same for adult males. Compare the results. Click the icon to view the pulse rates for adult females and adult males. Pulse Rates Pulse Rates (beats per minute) 84 76 50 61 53 63 52 74 55 63 75 60 62 77 82 64 69 94 41 88 Males 74 63 75 71 57 66 55 80 75 63 63 97 60 63 57 58 65 73. 82 56 4 Print Females 79 92 60 68 56 81 77 85 88 58 37 63 87 77 81 63 67 80 58 62 82 82 71 76 88 92 89 91 91 97 66 92 80 78 72 53 102 73 76 74 Done - X
According to recent data by the American Marketing Association, 76.5%of people in the 18-24 age group used social media in 2017. You want to find out what the social media proportion is among your classmates who are all between 18 and 24 years old. Suppose you obtain a random sample of 229 students and find that 202 students in this sample are active social media users. Complete parts a through c below. a. Construct a 99% confidence interval to estimate the actual proportion of social media users. A 99% confidence interval to estimate the actual proportion has a lower limit of------ and an upper limit of------- (Round to three decimal places as needed.) b. What is the margin of error for this sample? c. Is there evidence that this proportion matches that of the overall population based on the sample?
A statistics instructor randomly selected four bags of oranges, each bag labeled 10 pounds, and weighed the bags. They weighed 10.3, 10.8, 10.4, and 10.6 pounds. Assume that the distribution of weights is Normal. Find a 95% confidence interval for the mean weight of all bags of oranges. Use technology for your calculations. Answer parts a and b below. a. Choose the correct interpretation of the confidence interval below and, if necessary, fill in the answer boxes to complete your choice. A. We are 95% confident the population mean is between and B. There is a 95% chance that all intervals will be between and C. We are 95% confident that the sample mean is between and D. The requirements for constructing a confidence interval are not satisfied. (Type integers or decimals rounded to the nearest thousandth as needed. Use ascending order.)
Given below are the sodium contents in milligrams for seven brands of hot dogs rated as “very good” by Consumer Reports. Find a 99.9% confidence interval for the true mean amount of sodium for “very good” hotdogs. 400 470 350 365 270 550 530
Use the accompanying data set to complete the following actions. a. Find the quartiles. b. Find the interquartile range. c. Identify any outliers. 40 51 36 45 41 37 39 48 44 37 34 55 42 36 15 51 39 50 29 30 D a. Find the quartiles. The first quartile, Q,, is The second quartile, Q2, is The third quartile, Q3, is (Type integers or decimals.) b. Find the interquartile range. The interquartile range (IQR) is. (Type an integer or a decimal.) Calculator
Use the following sample information below to calculate the confidence interval to estimate the population proportion. Let x be the number of items in the sample having the characteristic of interest. a. n = 116 and x = 57, with 99% confidence b. n = 800 and x = 479, with 97% confidence c. n = 240 and x = 106, with 85% confidence d. n = 60 and x = 21, with 90% confidence
A survey of 32,782 adults in 2004 indicated that 24.6% of adults were current smokers. A similar study conducted in 1995 of 40,000 adults indicated that 29.7% were current smokers. a. Find and interpret a point estimate of the difference between the proportion of current smokers in 1995, and the proportion of current smokers in 2004. b. A 95% confidence interval for the true difference is (-0.058,-0.045). Interpret. c. What assumptions must you make for the confidence interval i part b to be valid? (…) a. Find a point estimate of the difference between the proportion of current smokers in 1995 and the proportion of current smokers in 2004. (Round to three decimal places as needed.)
You are a researcher studying the antler size of male Alaskan Moose in a certain Alaska location. You gather a random sample of 18 male moose and record the width (in feet) of the antlers. The data is displayed in the table below. Estimate the mean antler width of all Alaskan male moose in this area. Use a 90% confidence level. 3.6 5.6 3.4 3.4 4 5.2 4.6 4.3 4.6 4.6 2.2 6.4 3.6 3.1 5.4 4.4 3.3 4.3 a) Find the confidence interval: < μμ < b) What is the margin of error of your interval? c) Interpret your 90% confidence interval in context.
The following data show the number of hours per day 12 adults spent in front of screens watching television-related content. Complete parts a and b below. 1.1 5.5 5.3 2.3 3.8 5.8 4.8 1.5 7.8 2.7 7.1 8.4 a. Construct a 99% confidence interval to estimate the average number of hours per day adults spend in front of screens watching television-related content. The 99% confidence interval to estimate the average number of hours per day adults spend in front of screens watching television-related content is from hours to hours. (Round to two decimal places as needed.)

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