Which distribution should be used to find the critical value/multiplier for a 98% confidence-interval?N(0, 1)O t(0, 1)t(32)O t(33)O t(97)O t(98) A statistician wonders what the mean combined city/highway fuel efficiency is for their 2020Subaru Outback. Each time they filled the gas tank, they recorded the number of miles drivensince the last fill up and the number of gallons they put in the gas tank. Their first step was toexamine the data for their 33 fill ups during the 2-year period. A histogram of the data is shownbelow. These fill ups had a mean combined city/highway fuel efficiency of 25.91 mpg and astandard deviation of 1.46 mpg.Histogram of Subaru Outback Fuel Efficier.2830Frequency2492426

From the given information we find the 98 % confidence interval.

Answered: Which distribution should be used to…

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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A 100(1 - α)% confidence interval for the mean μ of a normal population when the value of σ is known is given by (x-²a/2" Six+ .za/2 VM). By how much must the sample size n be increased if the width of the CI above is to be halved? Halving the length requires n to be increased by a factor of If the sample size is increased by a factor of 16, what effect will this have on the width of the interval? Increasing the sample size by a factor of 16 will ---Select-- the length by a factor of ---Select-- increase Need Help? Read It decrease
I need help with this one, please. I need it to be step-by-step please for me to understand.
is being approxin Let X1,..., Xn be an iid with mean, µ = E(X), and variance, o2 = Var(X). True or False, and briefly explain: The sample average, X, can be expected to be closer and closer to µ as n gets bigger and pigger. Confidence Intervals
Q1. Using 625 trading days of data, you estimated the daily log return follows a normal distribution with a mean of 5 bps and and a stdev of 125 bps. Q1b. what is the 90, 95, and 99% confidence interval for your mean return estimate?
The width of the confidence interval estimate of the population mean μ is a function of only two quantities: the population standard deviation σ and the sample size n
4. A 95% confidence inter val for a population mean µ, based on a sample of size 49, is (12.5, 20.1). (a) The sample mean, , is (i) 3.8. (ii) 16.3. (iii) 7.6. (iv) 32.6. (v) 1.96. (b) The maximum error for this confidence interval, E, is (i) 3.8. (ii) 16.3. (iii) 7.6. (iv) 32.6. (v) 1.96. (c) Compared to the 95% confidence interval, (12.5, 20.1), a 90% confidence interval based on the same sample will be (i) wider. (ii) narrower. (iii) of the same width.
Let X1, X2, ..., X, be a random sample from f(x;0) = 0e-tI(0,00)(x). Find a 100y or (1- a)100 percent confidence interval for the mean of the population.
What critical value t∗t∗ from Table C would you use for a confidence interval for the mean of the population in each of the following situations? (a)96% confidence interval based on n = 25 observations.(b) A 95% confidence interval from an SRS of 17 observations.(c) A 90% confidence interval from a sample of size 13.
Assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) find the critical value tα/2, (b) find the critical value zα/2, or (c) state that neither the normal distribution nor the t distribution applies. The confidence level is 90%, σ is not known, and the normal quantile plot of the 17 salaries (in thousands of dollars) of basketball players on a team is as shown.
How would you find a 95% confidence interval for μX -μY for these distributions?
For a one-tailed test (lower tail) with n = 10 at 90% confidence (i.e. α = 0.10), the appropriate tα (critical value) is a. -1.383 b. 2.821 c. 1.383 d. -2.821
IF n < 30 AND T = Ý−µ -H, √n SHOW HOW THE 100(1-2x)% CONFIDENCE INTERVAL FOR U IS DERIVED

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Which distribution should be used to find the critical value/multiplier for a 98% confidence- interval? O N(0, 1) O t(0, 1) O t(32) O t(33) O t(97) O t(98)