Data collected by a price reporting agency from more than 90,000 gasoline and convenience stores throughout the U.S. showed that the average price for a liter of unleadgasoline was $0.87. The following data show the price per liter ($) for a sample of 20 gasoline and convenience stores located in San Francisco.0.970.931.290.960.961.000.940.931.010.960.960.970.961.071.080.990.980.970.970.96(a) Use the sample data to estimate the mean price in dollars for a liter of unleaded gasoline in San Francisco. (Round your answer to three decimal places.)(b) Compute the sample standard deviation in dollars. (Round your answer to three decimal places.)%24%24

Introduction : Sample mean is said to be unbiased estimate of the population. Unbiased Estimator :…

Answered: Data collected by a price reporting…

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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Determine whether the given percentage is a statistic or a parameter and why. In a study of all 1018 students at Guttman, data showed that 10% live in Queens. a. Parameter because the value is a numerical measurement describing a characteristic of a sample. b. Statistic because the value is a numerical measurement describing a characteristic of a sample. c. Parameter because the value is a numerical measurement describing a characteristic of a population. d. Statistic because the value is a numerical measurement describing a characteristic of a population.
Please please answer that
1. Calculate the incidence rate from June 1, 2018 to May 31, 2019 using the midpoint population as the denominator. Express your answer as a percentage. 2. Calculate the point prevalence on December 1, 2018. Express your answer as a percentage. 3. Calculate the period prevalence from June 1, 2018 to May 31, 2019. Express your answer as a percentage.
Blue 0.143 Freckles 0.030 eyes No Freckles 0.857 0.182 Black 0.047 Green hair eyes 0.818 0.018 0.923 Brown eyes 0.982 0.278 0.061 Blue 0.259 eyes 0.722 0.232 Brown 0.327 Green hair eyes 0.768 0.153 Brown 0.461 0.414 eyes Caucasian 0.847 child 0.319 Blue 0.562 0.453 eyes 0.681 0.315 Green 0.302 Blonde hair eyes 0.698 0.164 Brown 0.123 eyes 0.025 0.836 0.857 Blue 0.473 eyes 0.143 0.767 Green Red hair 0.405 eyes 0.233 0.778 Brown 0.122 eyes 0.222
An instructor recorded the following number of correct items (in a quiz with 10 questions) for the 12 students present: 7, 4, 2, 2, 2, 9, 10, 6, 7, 3, 8, 5. What is the level of measurement of the data obtained? Nominal Ordinal Ratio Interval
The summary statistics for the amount of rainfall received in San Diego, CA over the past 117 years is as follows: N Mean Median Std. Dev. Minimum Maximum 117 14.91 13.07 6.75 4.85 38.18 A California newspaper article reported that, “in 2008 only 10 inches of rain fell, an extremely dry year and a rare occurrence for the city”. Comment on the accuracy of this statement
The following relative frequency histogram presents the weights (in lb) of a sample of visitors to a health clinic. What percent of visitors to the health clinic weighed less than 150 lb?
Any quantity that is computed from a sample is called
The following data are collected from pregnant women to compare the Plasma ascorbic acid level of smokers and non-smokers. Table: Plasma ascorbic acid values Non-smokers 0.97, 0.72, 1.00, 0.81, 0.62, 1.32, 1.14, 1.22, 0.90, 0.74, 0.88, 0.94 Smokers 0.88, 0.71, 0.98, 0.79, 1.01, 1.16, 0.78, 1.28 Test whether there is any difference between plasma ascorbic acid levels of smokers and non-smokers. Also find 95% confidence interval for the difference of two means. Describe your findings. Use alpha=0.05 [Hint: use hypothesis, test statistics confidence interval etc.]
Construct simple average price relative index number using geometric mean for the year 2015 for the data showing the expenditure in education of the children taking different courses. Expenditure per year 2014 2015 B.Sc 24000 26000 B.Com 20000 22000 B.E 108000 12000 M.B.B.S 150000 168000
Find the Proportion estimate of the following. 1. n = 625 x = 125 2. n = 50 x = 21 3. n = 118 x = 67 4. n = 1, 137 x = 20 5. n = 2,517 x = 1,007
You want to conduct a study on the proportion of Penn State students who miss class when it is raining. Suppose here is the data you collect for students who live on-campus versus students who live off-campus: Never Miss Sometimes Miss Always Miss On-Campus 20 12 13 Off-Campus 45 14 22 a. For on-campus students (only), estimate the true difference in proportions for those who never miss class versus those who always miss class, when it is raining. Place a bound on the error of estimation. b. Estimate the true difference between the proportions of on-campus students who always miss class versus the proportion of off-campus students who always miss class, when it is raining. Place a bound on the error of estimation.

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