A sample of size 8 was collected from an unknown population7 9 10 11-21. Use the table of expected z-scores (rounded to the nearest tenth) below to construct the normality plotwith expected z-scores on the x-axis and the observations on the y-axis:5-1.2-0.500.51.2-1Clear All Draw:16-15-14not normalO normal22200, 001312-1110-7+11 12 13 15106-1.3-0.6-0.20.20.61.3127-1.4-0.8-0.400.40.81.48-1.4-0.9-0.5-0.20.20.50.91.42. Based on whether the pattern above is linear or not, in your opinion, was the sample drawn from anormal population or not?9-1.5-0.9-0.6-0.300.30.60.91.5

Given data: 7, 9, 10, 11, 11, 12, 13, 15

Answered: A sample of size 8 was collected from…

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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18.20 Immigration. Suppose that 29% of all adult Americans think that the level of immigration to the United States should be decreased. An opinion poll interviews 1520 randomly chosen Americans and records the sample proportion who feel that the level of immigration to this country should be decreased. This statistic will vary from sample to sample if the poll is repeated. The sampling distribution is approximately Normal with mean 0.29 and standard deviation about 0.012. Sketch this Normal curve and use it to answer the following questions. a. The mean of the population is 0.29. In what range will the middle 95% of all sample results fall? b. What is the probability that the poll gets a sample in which fewer than 27.8% say the level of immigration to this country should be decreased?
sisin, 2 Calculate Quartile Deviation and its Coefficient from the following data : Weight (in pounds) 140 150 160 120 122 124 126 130 No, of Students 1 1 3. 10 Solutian
1. For a normal distribution, find the percent of scores that lie between the scores having z values of z = -4 and z = 6
A sample of size 6 was collected from an unknown population 2 10 12 15 16 17 1. Use the table of expected z-scores (rounded to the nearest tenth) below to construct the normality plot with expected z-scores on the x-axis and the observations on the y-axis: 5 -1.2 -0.5 0 0.5 1.2 Clear All Draw: 19 18 17 16 15 14 13 12 11 20 9 8 7 normal O not normal 6 5 3 2 6 -1.3 -0.6 -0.2 0.2 0.6 1.3 7 -1.4 -0.8 -0.4 0 0.4 0.8 1.4 8 -1.4 -0.9 -0.5 -0.2 0.2 0.5 0.9 1.4 9 -1.5 -0.9 -0.6 -0.3 0 0.3 0.6 0.9 1.5 2. Based on whether the pattern above is linear or not, in your opinion, was the sample drawn from a normal population or not?
Scores on a statistics final in a large class were normally distributed with a mean of 75 and a standard deviation of 8. The instructor wants to give an A to the students whose scores were in the top 08% of the class (Provide your answer with two decimal places). Find the Z-score that is associated with the lowest possible score to get an A. What is the minimum score needed to get an A?
Use the given data values (a sample of female arm circumferences in centimetors) to identity the corresponding z scores that are used for a normal quanile plot, then identify the coordinates of each point in the nomal quantile plot. Construct the normal quantile plot, theon determine whether the data appear to be from a population with a normal distribution 40.9. 39 0, 443, 33.7, 326 o List the z ocores for the normal quantile plot (Round to two decimal places as noeded Use ascending order)
Find the variance from the following sample. (Please round your answers to two decimal places, ex: 1.23) +-----------------------------------+ | X: 2 2 3 5 6 |
The frequency distribution of scale categories for a 7-point off- flavor scale follows: Category Frequency 1 (none) 75 86 3 93 4 74 5 60 6 36 7 (very strong) 21 1. What is the rational origin of the foregoing 7-point scale? 2. Scale the categories using Guilford's method and interpret the results. Also find Guilford's adjusted scores. Detemine the mean and the standard deviation of the estimated category scale. 3.
I attached.
A researcher would like to evaluate the effectiveness of a pain-relief patch designed for back pain. Prior to testing the patch, each of n = 8 patients rates their current level of back pain on a scale from 1 to 10. After wearing the patch for 90 minutes, a second pain rating is recorded. The data are as follows: Before After 6 2 8 3 9 4 8 1 10 2 5 3 9 8 7 7 a. Compute the mean and variance for the sample of difference scores. b. Do the results indicate that the pain-relief patch has an effect? Use a two-tailed test with α = .05 c. Compute Cohen’s d to measure the size of the effect.
2. For a Normal Distribution where u = 3 and o = 3, where does approximately 95% of the scores fall between?

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