Use the Central Limit Theorem to find the mean and standard error of the mean of the indicated sampling distribution.The monthly rents for studio apartments in a certain city have a mean of $1,020 and a standard deviation of $170. Random samples of size 60 are drawn from the population and the mean of each sample is determined. Roundthe answers to the nearest hundredth.O A. $1,020.00, $2.83OB. $1,020.00, $21.95O C. $131.68, $170.00O D. $131.68, $21.95View Instructor TipCalculatorNextPType here to search70°F Clear ^ O 4)6:46 PM直 03)10/8/202110/05/17DG521 AUF7F8PrtScDeleteF10F11F12Insert&*Backspace4.8.6GK15工Pl// +

Given that The monthly rents for studio appo1intments in certain city has a mean $1,020 Mean (μ) =…

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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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The scores on a psychology exam were normally distributed with a mean of 56 and a standard deviation of 4. A failing grade on the exam was anything 2 or more standard deviations below the mean. What was the cutoff for a failing score? Approximately what percentage of the students failed? ..... The cutoff for a failing score was 49 (Simplify your answer.) Approximately 2.28 percent of the students failed. (Round to one decimal place as needed.)
A study wanted to compare the weight loss between two drugs. They sampled 60 people. 30 who took drug A and 30 who took drug B. With drug A the average weight loss was 15 pounds with a standard deviation of 8 pounds. With drug B the average weight loss was 18 pounds with a standard deviation of 9 pounds. Find the p-value with drug A population 1. Round to 4 decimal places.
The annual salary for one particular occupation is normally distributed, with a mean of about $128,000 and a standard deviation of about $21,000. Random samples of 42 are drawn from this population, and the mean of each sample is determined. Find the mean and standard deviation of the sampling distribution of these sample means. Then, sketch a graph of the sampling distribution. The mean is and the standard deviation is %3D (Round to the nearest integer as needed. Do not include the $ symbol in your answers.)
The scores on an economics examination are normally distributed with a mean of 72 and a standard deviation of 16. If the instructor assigns a grade of A to 14% of the class, what is the lowest score a student may have and still obtain an A? (Round your answer to two decimal places.)
The amount people pay for electric service varies quite a bit, but the mean monthly fee is $168 and the standard deviation is $34. The distribution is not Normal. Many people pay about $90 in rural areas of the country and about $150 in urban areas of the country, but some pay much more. A sample survey is designed to ask a simple random sample of 1,200 people how much they pay for electric services. Let X be the mean amount paid. Part A: What are the mean and standard deviation of the sample distribution of x? Show your work and justify your reasoning. Part B: What is the shape of the sampling distribution of X? Justify your answer. Part C: What is the probability that the average electric service paid by the sample of electric service customers will exceed $170? Show your work.
The scores on an economics examination are normally distributed with a mean of 75 and a standard deviation of 15. If the instructor assigns a grade of A to 13% of the class, what is the lowest score a student may have and still obtain an A? (Round your answer to two decimal places.)
A student scores 74 on a geography test and 264 on a mathematics test. The geography test has a mean of 80 and a standard deviation of 5. The mathematics test has a mean of 300 and a standard deviation of 24. If the data for both tests are normally distributed, on which test did the student score better relative to the other students in each class? OA. The student scored better on the mathematics test. OB. The student scored better on the geography test. OC. The student scored the same on both tests.
The systolic blood pressure of adults in the USA is nearly normally distributed with a mean of 118 and standard deviation of 24 .Someone qualifies as having Stage 2 high blood pressure if their systolic blood pressure is 160 or higher.a. Around what percentage of adults in the USA have stage 2 high blood pressure? Give your answer rounded to two decimal places. ________%b. If you sampled 2000 people, how many would you expect to have BP> 160? Give your answer to the nearest person.________ peoplec. Stage 1 high BP is specified as systolic BP between 140 and 160. What percentage of adults in the US qualify for stage 1?________ %d. Your doctor tells you you are in the 30th percentile for blood pressure among US adults. What is your systolic BP? Round to 2 decimal places._______ lbs
For a data set of the pulse rates for a sample of adult females, the lowest pulse rate is 38beats per minute, the mean of the listed pulse rates is x =73.0 beats per minute, and their standard deviation is sequals=23.2 beats per minute. a. What is the difference between the pulse rate of 38 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 38 beats per minutes to a z score. d. If we consider pulse rates that convert to z scores between minus−2 and 2 to be neither significantly low nor significantly high, is the pulse rate of 38 beats per minute significant?
Use z scores to compare the given values. The tallest living man at one time had a height of 225 cm. The shortest living man at that time had a height of 104.3 cm. Heights of men at that time had a mean of 173.55 cm and a standard deviation of 5.15 cm. Which of these two men had the height that was more extreme? Since the z score for the tallest man is z= and the z score for the shortest man is z= the V man had the height that was more extreme. (Round to two decimal places.)
Exhibit 9-2: The manager of a grocery store has taken a random sample of 100 customers. The average length of time it took the customers in the sample to check out was 3.1 minutes. The population standard deviation is known to be 0.5 minutes. We want to test to determine whether or not the mean waiting time of all customers is significantly more than 3 minutes. Refer to Exhibit 9-2. The p-value is
Find the mean and standard error of the mean of the sampling distribution. Then sketch a graph of the sampling distribution. The prices of photo printers on a website are normally distributed with a mean of $238 and a standard deviation of $67. Random samples of size 33 are drawn from this population and the mean of each sample is determined.

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The monthly rents for studio apartments in a certain city have a mean of $1,020 and a standard deviation of $170. Random samples of size 60 are drawn from the population and the mean of each sample is determined. Rc the answers to the nearest hundredth. ...