4. For each of the states, use the summary statistics and find the P(x<=11) using z-statistics. Assume the underlying data is normally distributed. Mean8.413793Standard Error0.393973Median8Mode9Standard Deviation2.121611Sample Variance4.501232Kurtosis1.878055Skewness0.975031Range9.5Minimum5.5Maximum15Sum244Count29

We have given that. X~N( μ , ?^2 ) μ =8.413793 , ? =2.121611 Z-score =( x - μ )/?

Answered: For each of the states, use the summary…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

iger 2. Hypothesis: College students sleep less than the recommended 8 hours. Data: Sample mean (X) = 7.25, sample standard deviation (Sx) = 2.1, N = 25.
For each of the states, use the summary statistics and find the P(x<=11) using z-statistics. Assume the underlying data is normally distributed. Mean 12.65517 Standard Error 1.077394 Median 12 Mode 15 Standard Deviation 5.801945 Sample Variance 33.66256 Kurtosis -1.16087 Skewness 0.546696 Range 17 Minimum 5.5 Maximum 22.5 Sum 367 Count 29
a)Determine the mean of sample means distribution b) Determine the standard deviation (standard error) of sample means distributionc) Draw a Normal (bell-shaped) graph for sample means distribution byhand on a paper showing x and y axes without any values marked on them. However,label the values of mean and standard deviation as described below. The adult male heights in a country vary normally with mean of 70 inches and standarddeviation of 4 inches. We draw many samples of size 100 from the above populationusing repeated random sampling and record the mean height for each sample to constitutea sample means distribution (?̅ -distribution). Do the above for the distribution.
let x be a ramdom variable with mean= 150 and standard deviation =4.2. Ramdom samples of fixed size n=30 are drawn from the distribution of x. determine the distribution, mean, and standard deviation of sample mean
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.
7. Calculate -scores for the following raw scores taken from a population with a mean of 100 and standard deviation of 16: 112, 109, 56, 88, 135, 99 Answer: 2 = 0.75, 0.56, -2.75, -0.75, 2.19, -0.06 show work for these please
D A small amount of the trace element selenium, 50-200 micrograms (ug) per day, is considered essential to good health. Suppose that random samples of 50 adults were selected from two regions of the United States and that each person's daily selenium intake was recorded. The means and standard deviations of the selenium daily intakes for the two groups are shown in the table. Sample Mean (ug) Sample Standard Deviation (ug) Find a 95% confidence interval for the difference (₁-₂) in the mean selenium intakes for the two regions. (Round your answers to three decimal places.) 49 Region Phase One-Tw_docx 1 167.4 22.8 ug to Interpret this interval, O The probability that the difference in the average daily selenium intake for the populations in Region 1 and Region 2 is exactly in the middle of the Interval is 95%. A 2 140.5 17.3 O The probability that the difference in the average daily selenium intake for the populations in Region 1 and Region 2 is within the interval is 95%. We are 95%…
please interpet seperately. there are tw coountries
Consider the sample data 2, 4, and 6 with population standard deviation of 1.633. Compute the following using the formulas in Central Limit Theorem. N=3 n=2 sample mean sample standard deviation Choose... sample variance Choose... + Please answer all parts of the question.
Find the variance and standard deviation
Using the R studio dataset: tsa <- read.csv("https://remiller1450.github.io/data/tsa.csv") From this dataset, take a sample of n = 10 claims. Record the mean Close Amount of this sample. Repeat this 500 times using a for-loop. What is the mean and the standard deviation of these 500 sample means. Draw a histogram (use freq = FALSE option) of these 500 sample means.
It is only appropriate and possible to calculate the variance and standard deviation as measures of variability for variables measured using a(n) _____ scale of measurement.

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

Mean	8.413793
Standard Error	0.393973
Median	8
Mode	9
Standard Deviation	2.121611
Sample Variance	4.501232
Kurtosis	1.878055
Skewness	0.975031
Range	9.5
Minimum	5.5
Maximum	15
Sum	244
Count	29