The mean and standard deviation of a normally distributed population are 1,200 and 12,respectively.į. Calculate the likelihood that a single randomly picked element x of the population is between1,100 and 1,300 in number.For a sample size of 25, calculate the mean and standard deviation of the variable x.iii. Calculate the likelihood that the mean of a sample of size 25 taken from this population will fllbetween 1,100 and 1,300 on a scale from 1 to 10.

Normal Distribution: A continuous random variable X is said to follow Normal distribution with…

Answered: The mean and standard deviation of a…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The following data set are four replicas for the measurements of the concentration in Molarity of NaCl in Human Serum (0.161, 0.163, 0.165, and 0.169) calculate: The arithmetic mean or sample mean The Median The sample standard deviation The range or spread Conduct the t-student’s test with 95% confidence
A population of N = 5 scores has a mean of u = 20 and a standard deviation of o = 4. Which of the following is the correct Interpretation of the standard deviation? O The average distance of scores from the mean of p- 20 is 5 points. O The average distance of scores from the mean of u = 20 is 1 point. The average distance of scores from the mean of u = 20 is 4 points. O The average squared distance of scores from the mean of u = 20 is 4 points.
The finite population correction is most useful for which of the following? a. It adjusts the estimated mean when the sample size is a large fraction of the population size. b. It adjusts the standard error of the mean when the sample size is a small fraction of the population size. c. It adjusts the estimated mean when the sample size is a small fraction of the population size. d. It adjusts the standard error of the mean when the sample size is a large fraction of the population size.
Answer number 3 to 5 pls. I don't want to waste my money here
1. Calculate the mean speed in miles per hour attained between zero (0) and (7) for this distribution. A. 56.73 B. 75.63 C. 73.56 D. 76.05 2. Calculate the variance for the distribution given in figure 1. A. 429.84 B. 492.98 C. 924.86 D. 942.99 3. Calculate the standard deviation and the co-efficient of variation respectively for the distribution given in figure 1. A. 73.20, 28.20 B. 20.73, 0.28 C. 27.30, 20.28 D. 0.28, 0.21
For a population that has a standard deviation of 22, figure the standard deviation of the distribution of means for samples of size (a)2, (b)4, (c)5 and (d)10.
In a population of a certain species of newt, the mean length of the newts is μ= 63 inches and the standard deviation is σ= 3.4 inches. You collect a random sample of n=16 newts. The bell curve below represents the distribution of these sample means. The scale on the horizontal axis is the standard error of the sampling distribution. Complete the indicated boxes, correct to two decimal places. mean of distribution= standard error= Note: The left box is 2 standard errors below the mean. The middle box is the mean. The right box is 2 standard errors above the mean.
Which of the following are true? There is more than one correct answer.
Solve part a,b and c of practice question #2. Please and thank you.
Which of the following is the best statement of the Law of Large Numbers? If the parent population (from which the data are drawn) is normally distributed, then the sample mean, , will follow a normal distribution. For bell-shaped data, approximately 68% of the data will be within one standard deviation of the mean, about 95% of the data will be within two standard deviations of the mean, and approximately 99.7% of the data will be within three standard deviations of the mean. If the sample size is large, the sample mean will be close to the population mean µ If the sample size is large, the shape of the sampling distribution of the sample mean will be approximately normal.
A Find the standard error of the mean for each sampling situation (assuming a normal population). (Round your answers to two decimal places). 1. O=56, n=4 2. O=56, n=16 3. O=56, n=64 B. What happens to the standard error each time you quadruple the sample size? The standard error is ________ by half.

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