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Is inflation too high? We will examine this by taking a random sample of n = 4320 adults and asking whether they feel inflation is too high? Of these sampled adults, x = 2050 said that inflation is too high. (Assume nobody lies.) Let p be the (unknown) true proportion of adults who feel inflation is too high. We want to estimate p. X is the random variable representing the number of sampled adults who say inflation is too high a) What type of probability distribution does X have? O binomial O Poisson gamma exponential Weibull b) What was the sample proportion, p, of sampled adults who say inflation is too high? c) What is the R formula for the expected value of X in terms of n and p? O n*p O 1/p O n^2 sqrt(n*p*(1-p))

Is inflation too high? We will examine this by taking a random sample of n = 4320 adults and asking whether they feel inflation is too high? Of these sampled adults, x = 2050 said that inflation is too high. (Assume nobody lies.) Let p be the (unknown) true proportion of adults who feel inflation is too high. We want to estimate p. X is the random variable representing the number of sampled adults who say inflation is too high a) What type of probability distribution does X have? O binomial O Poisson gamma exponential Weibull b) What was the sample proportion, p, of sampled adults who say inflation is too high? c) What is the R formula for the expected value of X in terms of n and p? O n*p O 1/p O n^2 sqrt(n*p*(1-p))

MATLAB: An Introduction with Applications
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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Is inflation too high? We will examine this by taking a random sample of n = 4320 adults and asking whether they feel inflation is too high? Of these sampled adults, x = 2050 said that inflation is too high. (Assume nobody lies.) Let p be the (unknown) true proportion of adults who feel inflation is too high. We want to estimate p. X is the random variable representing the number of sampled adults who say inflation is too high a) What type of probability distribution does X have? O binomial O Poisson gamma exponential Weibull b) What was the sample proportion, p, of sampled adults who say inflation is too high? c) What is the R formula for the expected value of X in terms of n and p? O n*p O 1/p O n^2 sqrt(n*p*(1-p)) O n*p*(1-P) d) What is the z critical value that we would use to construct a classical 94% confidence interval for p? e) Construct a 94% classical confidence intervall for p? f) How long is the 94% classical confidence interval for p? g) If we are creating a 94% classical confidence interval for p based upon the sample size of 4320, then what is the longest possible length of this interval?
Transcribed Image Text:Is inflation too high? We will examine this by taking a random sample of n = 4320 adults and asking whether they feel inflation is too high? Of these sampled adults, x = 2050 said that inflation is too high. (Assume nobody lies.) Let p be the (unknown) true proportion of adults who feel inflation is too high. We want to estimate p. X is the random variable representing the number of sampled adults who say inflation is too high a) What type of probability distribution does X have? O binomial O Poisson gamma exponential Weibull b) What was the sample proportion, p, of sampled adults who say inflation is too high? c) What is the R formula for the expected value of X in terms of n and p? O n*p O 1/p O n^2 sqrt(n*p*(1-p)) O n*p*(1-P) d) What is the z critical value that we would use to construct a classical 94% confidence interval for p? e) Construct a 94% classical confidence intervall for p? f) How long is the 94% classical confidence interval for p? g) If we are creating a 94% classical confidence interval for p based upon the sample size of 4320, then what is the longest possible length of this interval?
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