Frequency120100Susan collects data on three random variables, X, Y, and Z. She plotshistograms of her data to help her decide which probability distributionis likely to be most suitable for each of these three random variables.(a) Based on the histogram below, which of the followingdistributions; Bernoulli; discrete uniform; continuous uniform:normal or exponential distribution is the most likely distributionfor the random variable X?8889Frequency(b) Based on the histogram below, which of the followingdistributions; Bernoulli; discrete uniform; continuous uniform orexponential distribution is the most likely distribution for therandom variable Y?2502001508Histogram of XX12Histogram of Ya

We have to recognize the distribution

Answered: Frequency 100 (a) Based on the…

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 distribution of average years to degree for random samples of 100 PhD students in the U.S. has a mean of 5.8 with a standard error of 0.2. What type of distribution is this? population distribution sampling distribution sample distribution
16
5. Question from 8.3: Variance and Standard Deviation Find the variance of the probability distribution for the histogram shown. 0.3 0.2 0.1 1 2 3 4 5 X
Suppose x has a normal distribution with mean ? = 26 and standard deviation ? = 7.Describe the distribution of x values for sample size n = 4. (Round ?x to two decimal places.) ?x = ?x = Describe the distribution of x values for sample size n = 16. (Round ?x to two decimal places.) ?x = ?x = Describe the distribution of x values for sample size n = 100. (Round ?x to two decimal places.) ?x = ?x = How do the x distributions compare for the various samples sizes? The standard deviations are the same, but the means are decreasing with increasing sample size.The standard deviations are the same, but the means are increasing with increasing sample size. The means are the same, but the standard deviations are decreasing with increasing sample size.The means are the same, but the standard deviations are increasing with increasing sample size.The means and standard deviations are the same regardless of sample size.
"When a distribution is positively skewed, it means that:" O there are more scores piled up at the low end of the range there are more scores piled up at the high end of the range O all scores have the same frequency the scores are normally distributed
A population is normally distributed with mean 19 and standard deviation 1.1. (a) Find the intervals representing one, two, and three standard deviations of the mean. one standard deviation (smaller value) (larger value) two standard deviations (smaller value) (larger value) three standard deviations (smaller value) (larger value) (b) What percent of the data lies in each of the intervals in part (a)? (Round your answers to two decimal places.) one standard deviation % two standard deviations % three standard deviations % (c) Draw a sketch of the bell curve.
Given a normal distribution wth u= 100 and o - 10, complete parts (a) through (d) E Click here to view page 1 of the cumulative standardized normal distribution table E Click here to view page 2 of the cumulative standardized normal distribution table i Cumulative standardized norma distribution table (page 1) - X Cumulative standardized normal distribution table (page 2) a What is the probability that X>75? Z 0.00 0.01 - 3.0 0 0014 0.0013 0.0013 0.0012 0.0012 0.0011 0 0011 0.0011 0.0010 0.0010 -2.9 0.0019 0.0018 0.0018 0.0017 0.0016 0 0016 00015 0.0015 0.0014 0 0014 2.8 0.0026 0 .0025 0 0024 0.0023 0.0023 0 0022 0.0021 0.0021 0.0020 0.0019 -2.7 00035 O 0034 0.0033 0.0032 0 0031 0.0030 0 0029 0.0028 0.0027 0.0026 -2.6 0 0047 0.0045 0.0044 0.0043 0.0041 0.0040 0.0039 0 0036 0.0037 0,0036 -2.5 0.0062 0.0060 0 0059 0.0057 0 0055 0.0054 00052 0.0051 0 0049 0.0048 -2.4 0 0082 0 0080 0.0078 0 0075 0.00/3 0 0071 0.0069 0 0063 0.0066 O 0064 -2.3 00107 0.0104 0 0102 0.0009 0.0095 0.0094 0.0091…
When asked: "What is the distribution of X ? X ~ N(___,___)." This notation is referring to N, a normal distribution, with the mean given in the first space and the standard deviation in the second space. Remember that the standard deviation of the sample means is different from the population standard deviation. The lengths of adult males' hands are normally distributed with mean 190 mm and standard deviation 7 mm. Suppose that 11 individuals are randomly chosen. Round final answers to 4 decimal places. a. What is the distribution of x? x N( b. For the group of 11, find the probability that the average hand length is more than 189. c. Find the first quartile for the average adult male hand length for this sample size. d. For part b), is the assumption that the distribution is normal necessary? Yes No
6.2 The Standard Normal Distribution Table: Z-score and Probability In the country of United States of Heightlandia, the height measurements of ten-year-old children are approximately normally distributed with a mean of 53.7 inches, and standard deviation of 5.1 inches. What is the probability that the height of a randomly chosen child is between 40.95 and 43.35 inches? Probability = (Use 4 decimal places.)
When should a s distribution be used? When there are how many cases in a sample? When should a t distribution be used? When there are how many cases in a sample?
Question (c) only
#1). show work, need help solving First picture is sample, second picture is the ones that need to be solved.

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