At a polling station, the amount of time it takes a given voter to cast their vote after arriving at the station can be modeled by an exponential distribution with 3 = 3.584 minutes. Arandom sample of 61 voters are observed. Let Y be the amount of time it takes each voter to cast their vote. Use this information to answer the following questions.a. Describe the distribution of the sample mean Y. Round all values to at least FIVE decimals if necessaryThe distribution of Y is ?with a mean ofMyminutes and a standard deviation ofoyminutes.b. What is the probability that the average amount of time it takes voters to cast their vote in this sample is at least 3.93 minutes?Answer: Round to at least FIVE decimals if necessaryc. What is the probability that, for an individual voter, the amount of time it takes them to cast their vote is less than 4 minutes?Answer: Round to at least FIVE decimals if necessary

Solution: Let Y be the amount of of time it takes each voter to cast their vote is exponential…

Answered: At a polling station, the amount of…

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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In the US, 43.9% of all people have type O blood, 40.6% have type A blood, 10.8% have type B blood and 4.7% have type AB blood. A researcher wants to see if the distribution of blood type is different for millionaires. The table below shows the results of a random sample of 3488 millionaires. What can be concluded at the a = 0.05 significance level? a. Complete the table by filling in the expected frequencies. Round to the nearest whole number: Frequencies of Blood Type Outcome Frequency Expected Frequency 1521 A 1427 В 376 АВ 164
The data in the accompanying table are from a paper. Suppose that each person in a random sample of 49 male students and in a random sample of 88 female students at a particular college was classified according to gender and whether they usually or rarely eat three meals a day. Find the test statistic and P-value. (Use SALT. Round your test statistic to three decimal places and your P-value to four decimal places.) Usually Eat3 Meals a Day Rarely Eat3 Meals a Day Male 26 23 Female 35 53
Assuming that the data are normally distributed, a. Determine the z-score such that the area to its right is 18%. z= b. Determine the z-score such that the area to its left is 91%. z=
J11.
4c.) Draw the graphs. Round your final answers up to 6 decimal places, if applicable. Give the correct units.
X is a point estimator of: Select one: a. Population mean b. Sample mean c. Sample variance d. Population variance
Use the given data values (a sample of female arm circumferences in centimeters) to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution. a. List the z scores for the normal quantile plot. (Round to two decimal places as needed. Use ascending order.) b. identify the coordinates of each point in the normal quantile plot. Use ordered pairs for the form (x,y), where x is the sorted arm circumferences in ascending order, and y is the corresponding z score. (Round to two decimal places as needed. Use ascending order.)
A political newspaper, Politically Sound, is interested in the distances voters in Rising Falls County live from their nearest polling station. Politically Sound has hired you to estimate the population mean of all such distances for voters in this county. To estimate this population mean, you select a random sample of 17 Rising Falls County voters and record the distance (in km) each voter lives from their nearest polling station. Assume the population is approximately normally distributed. Based on your sample, follow the steps below to construct a 99% confidence interval for the population mean of all the distances voters in Rising Falls County live from their nearest polling station. (If necessary, consult a list of formulas.) (a) Click on "Take Sample" to see the results for your random sample. Take Sample Number of voters 17 Sample mean 4.757 Sample standard deviation 2.363 Enter the values of the sample size, the point estimate of the mean, the sample standard deviation, and the…
The age of a tree can be determined by counting each annual growth ring in the trunk of the tree. A common measure of the size of a tree is the "diameter at breast height" DBH. "Breast height" is defined as 4 ½ feet above the uphill side of the tree. Consider the following data on 12 northern red oaks from southwestern Wisconsin: 11 15 28 1.5 1.0 6.0 45 12 52 16.5 11.0 | 10.5 9.0 Age(years) | 97 93 88 81 75 57 1.0 DBH(inch) | 12.5 12.5 8.0 9.5 d) What is the range of validity of this model?
An article reported on a long-term study of the effects of hurricanes on tropical streams of a forest. The study shows that a hurricane had a significant impact on stream water chemistry. The following shows a sample of 10 ammonia fluxes in the first year after the hurricane. Data are in kilograms per hectare per year. Complete parts (a) through (c) below. 99 85 147 147 177 116 57 57 89 156 D a. Find the mean. The mean is. (Type an integer or decimal rounded to one decimal place as needed.) b. Find the median. The median is (Type an integer or decimal rounded to one decimal place as needed.) c. Find the mode(s). Select the correct choice below and, if necessary, fill in the answer box within your choice. O A. The mode(s) is(are) (Use a comma o separate answers as needed.) O B. There is no mode.
The Law of Large Numbers states that as the number of observations in a sample increases, the mean of this is sample becomes a. exactly equal to the mean. b. closer and closer to the population mean. c. close to 0. d. further and further from the population mean.
Today, the waves are crashing onto the beach every 4.3 seconds. The times from when a person arrives at the shoreline until a crashing wave is observed follows a Uniform distribution from 0 to 4.3 seconds. Round to 4 decimal places where possible. 1. 66% of the time a person will wait at least how long before the wave crashes in?

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