Question 2: use the following sample information to calculate the confidence interval to estimate the population proportion. Let x be the number of items in the sample having the characteristic of interest. n=800 and x=489 with 95% confidence. Use the following sample information to calculate theconfidence interval to estimate the population proportion. Letx be the number of items in the sample having thecharacteristic of interest.n = 800 and x =489, with 95% confidence.(0.57, 0.64)(0.58, 0.65)(0.58, 0.64)(0.57, 0.65)

Givenn=800x=489confidence inerval(c)=95%p^=xn=489800=0.6113α=1-0.95=0.05α2=0.025zα2=z0.0250=1.96…

Use the following sample information to calculate the confidence interval to estimate the population proportion. Let x be the number of items in the sample having the characteristic of interest. n = 800 and x = 489, with 95% confidence. (0.57, 0.64) (0.58, 0.65) (0.58, 0.64) (0.57, 0.65)

Use the following sample information to calculate the confidence interval to estimate the population proportion. Let x be the number of items in the sample having the characteristic of interest. n = 800 and x = 489, with 95% confidence. (0.57, 0.64) (0.58, 0.65) (0.58, 0.64) (0.57, 0.65)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 13PPS

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Question

Question 2: use the following sample information to calculate the confidence interval to estimate the population proportion. Let x be the number of items in the sample having the characteristic of interest. n=800 and x=489 with 95% confidence.

Use the following sample information to calculate the
confidence interval to estimate the population proportion. Let
x be the number of items in the sample having the
characteristic of interest.
n = 800 and x =
489, with 95% confidence.
(0.57, 0.64)
(0.58, 0.65)
(0.58, 0.64)
(0.57, 0.65)

Definition Definition Method in statistics by which an observation’s uncertainty can be quantified. The main use of interval estimating is for describing a range that is made by transforming a point estimate by determining the range of values, or interval within which the population parameter is likely to fall. This range helps in measuring its precision.

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