. The average Stats' score of a sample of JMU students ontest 1 was 75.7% and the standard deviation (SD) of thepopulation was 5.5%. The standard error (SE) was at2.4%. The total population of JMU students was 22,000.Answer the following (no calculations needed)İ. In what direction will SE shift if the JMU studentshad an average of 75.7% and an SD of populationof 10% ? Increase, decrease, or stay the same?ii. If the population size increased from 22,000 to30,000? Increase, decrease, or stay the same?

The average stat score of JMU students is, μ=75.7%The standard deviation of the population is,…

Answered: . The average Stats' score of a sample…

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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A manufacturer of light bulbs finds that one light bulb model has a mean life span of 1030 h with a standard deviation of 83 h.Find the z-scores for lightbulbs which last 840 and 890 h. (Round your answers to two decimal places.) The z-score for 840 h is -2.29; the z-score for 890 h is -1.69.Using the answers from Step 1, what percent of these light bulbs will last between 840 and 890 h? (Round your answer to one decimal place.)
A California lake has been stocked with rainbow trout. These trout have an average length of 24 inches, with a standard deviation of 3 inches. Someone goes fishing and catches a trout that is 26.25 inches long. Express the length of this trout in standard units, relative to all the trout that were used to stock the lake. Choose the answer below that is closest.
Suppose that the hemoglobin levels among healthy females are normally distributed with a mean of 14. Research shows exactly 95% of healthy females have hemoglobin levels below 15.9. What is the standard deviation of the distribution of hemoglobin levels in healthy females?carry computations to four decimal places and round your answer to two.
For a data set of the pulse rates for a sample of adult females, the lowest pulse rate is 39 beats per minute, the mean of the listed pulse rates is x = 78.0 beats per minute, and their standard deviation is s = 13.1 beats per minute. %3D a. What is the difference between the pulse rate of 39 beats per minute and the mean pulse rate of the females? b. How many standard deviations is that [the difference found in part (a)]? c. Convert the pulse rate of 39 beats per minutes to a z score. d. If we consider pulse rates that convert to z scores between - 2 and 2 to be neither significantly low nor significantly high, is the pulse rate of 39 beats per minute significant? a. The difference is beats per minute. (Type an integer or a decimal. Do not round.)
Mason earned a score of 226 on Exam A that had a mean of 250 and a standard deviation of 40. He is about to take Exam B that has a mean of 550 and a standard deviation of 25. How well must Mason score on Exam B in order to do equivalently well as he did on Exam A? Assume that scores on each exam are normally distributed.
The next five questions refer to the following scenario: • sample mean T = 10 • sample size n = 100 • population standard deviation O = 4
The regression line for a set of data will have little meaning unless: Select one: a. the correlation coefficient is significant. b. the slope of the regression line is zero. c. the standard deviation of errors is zero. d. there are at least 30 data points chosen.
To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.7 feet. The mean braking distance for Make B is 45 feet. Assume the population standard deviation is 4.4 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) rari rz (b) Find the critical value(s) and identify the rejection region(s). The critical value(s) is/are (Round to three decimal places as needed. Use a comma to separate answers as needed.)
Consider two completely different data sets: price per gallon of gas in Fort Pierce and SAT scores of students at a certain high school. The price per gallon of gas data set has a mean of $2.95 and a standard deviation of S1.15. The high school SAT scores data set has a mean of 1078 and a standard deviation of 198. Calculate the Coefficient of Variation for both data sets. Round solutions to one decimal place, if necessary. Coefficient of Variation for the price per gallon of gas data set: Coefficient of Variation for high school SAT scores data set: Which data set has greater variability? Price per gallon of gas Thus, we see that when comparing two data sets, the data set with the larger standard deviation does not v necessarily have greater variabilty. Check All Parts
In the past, the mean age of consumers of a product was 38 years. Recently the product has been drastically changed. In order to determine whether there has been a change in the mean age of the product consumers, a sample of 16 consumers is selected. The mean age in the sample is 33 years and the standard deviation in the sample is 10 years. Let u = the mean age of the current product (Problem Set #7) consumers. The value of the test statistic is Oa. -2.00 O b.-1.60 OC .0.8 O d. 4.21
Jeremiah earned a score of 530 on Exam A that had a mean of 450 and a standard deviation of 40. He is about to take Exam B that has a mean of 63 and a standard deviation of 20. How well must Jeremiah score on Exam B in order to do equivalently well as he did on Exam A? Assume that scores on each exam are normally distributed.
Use the following information to answer the next four questions. A manager of a fast-food chain wants to analyze the length of time a vehicle spends at the drive-through window waiting for an order. According to records obtained from the chain, the population mean time spent waiting at the window was 236.5 seconds with a population standard deviation of 34.8 seconds. It is known that the distribution of time waiting at the window is extremely right-skewed. The waiting time was recorded for a random sample of 21 vehicles. For the random sample obtained, the sample mean waiting time was found to be 254.6 seconds with a sample standard deviation of 23.1 seconds. In this example, for the numerical values 236.5 and 254.6 O a. 236.5 is a parameter, 254.6 is a statistic O b. Both are parameters O C. Both are statistics O d. 236.5 is a statistic, 254.6 is a parameter

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