Question 1PoveAccording to GSMA real-time intelligence data, 65.49% of the world's population have a mobile device (cellphone, tablet orcellular enabled loT devices). A random sample of size 19 was obtained. Let p be theproportion of the sample that have a mobile device (cell phone, tablet orcellular enabled loT devices).Explain why the Central Limit Theorem cannot be usedSelect an answerSelect an answerthe sample is large enough but not randomthe sample is not large enough, i.e. np<10 or n(1-p)<10the sample is large enough but the sampling technique is biasedthe Central Limit Theorem can be used only for sample means

Given information p=65.49%, n=19

Answered: Question 1 According to GSMA real-time…

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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Topic: Central Limit Theorem 2. Suppose a random sample of size 16 is taken from a normal population X with mean 51 and standard deviation 4. (a) Find the sampling distribution of the sample mean (b) Find the probability that the sample mean is greater than 52 (c) Find the probability that the sample mean lies between 49.5 and 51.5 Llease answer it in computerized manner. Thanks!
What type of bias and variability does this graph show? Graph is in the attached picture! Thanks! 1) high bias, high variability 2) cannot be determined 3) low bias, high variability 4) high bias, low variability 5) low bias, low variability
The Central Limit Theorem (CLT) requires a sample be randomly collected. This is to... Reduce bias and reduce accuracy. Reduce standard error and reduce precision Reduce the standard error and increase precision. Reduce bias and increase accuracy
Library Construct a 95% confidence interval to estimate the population mean with x = 110 and o = 28 for the following sample sizes. Accessit a)n = 33 b)n = 44 c)n = 66 Purchas Commu a) With 95% confidence, when n = 33, the population mean is between the lower limit of and the upper limit of (Round to two decimal places as needed.) Enter your answer in the edit fields and then click CheckK Answer. parts remaining Olear All Type here to search acer F2 F3 F4 F5 F6 F7 F8 Esc
Based on the frequency polygon above, what could be the initial lower bound interval? * Test Scores 45 40 35 30 25 20 15 10 44.5 54.5 64.5 74.5 84.5 94.5 104.5 Scores Frequency
The range and interquartile range can be equal if there is no variability in the distribution 1) True 2) False
Question 6 with clear expectations, and diagram please
Eggs Hens usually begin laying eggs when they areabout 6 months old. Young hens tend to lay smaller eggs,often weighing less than the desired minimum weight of54 grams.a) The average weight of the eggs produced by the younghens is 50.9 grams, and only 28% of their eggs exceedthe desired minimum weight. If a Normal model isappropriate, what would the standard deviation of theegg weights be?b) By the time these hens have reached the age of 1 year,the eggs they produce average 67.1 grams, and 98%of them are above the minimum weight. What is thestandard deviation for the appropriate Normal modelfor these older hens?c) Are egg sizes more consistent for the younger hens orthe older ones? Explain.
GIVEN DATA, a) graph the frequency distribution of errorsb) determine the most appropriate distribution. justify your answer.
Histogram of random samples data are often used as an indication of the shape of the underlying population distribution. The histograms on the next page are based on random samples of 30, 50 and 100 from the same population. A) Using the midpoint labels of the three histograms, what wouldyou say about the estimated range of the population data from the smallest to largest? Does the bulk of the data seem to be between8 and 12 in all histogram? B) The population distribution from which the sample were drawn in symmetric and mound-shaped, with the top of the mound at 10.95% of the data between 8 and 12 and 99.7% of data between 7 and 13. How well does each histogram reflect these characteristics?
When finding a class for frequency distribution, do you just pick one or is there a certain reasoning process to select one?Also when using the class width is it a convience reason to pick a number? Or is there a certain process?
Chapter 6, Section 1-CI, Exercise 028 Standard Error from a Formula and a Bootstrap DistributionUse StatKey or other technology to generate a bootstrap distribution of sample proportions and find the standard error for that distribution. Compare the result to the standard error given by the Central Limit Theorem, using the sample proportion as an estimate of the population proportion p.Proportion of peanuts in mixed nuts, with n=93 and p^=0.60.Click here to access StatKey.Round your answer for the bootstrap S⁢E to two decimal places, and your answer for the formula S⁢E to three decimal places.Bootstrap SE= .Formula SE= .

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