Verizon would like to estimate the proportion of household that use Verizon cell phone service without a land line. A random sample of 100 households was selected and 88 of them used their cell phone service without a land line.What is the 90% confidence interval for the proportion of households which use their cell phone service without land lines?Use the fact that P(z < 1.645) = 0.95 and P(z < 1.282) = 0.9 for z which follows the standard normal distribution.If the population size is known as 1000, what is the margin of error for a 90% confidence interval for the proportion of households which use their cell phone service without land lines?

Name: Verizon would like to estimate the proportion of household that use Ve
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Description: Verizon would like to estimate the proportion of household that use Verizon cell phone service without a land line. A random sample of 100 households was selected and 88 of them used their cell phone service without a land line.What is the 90% confid

It is given that sample size n =100 and x =88.

Answered: Verizon would like to estimate the…

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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Verizon would like to estimate the proportion of household that use Verizon cell phone service without a land line. A random sample of 100 households was selected and 88 of them used their cell phone service without a land line.

What is the 90% confidence interval for the proportion of households which use their cell phone service without land lines?

Use the fact that P(z < 1.645) = 0.95 and P(z < 1.282) = 0.9 for z which follows the standard normal distribution.
If the population size is known as 1000, what is the margin of error for a 90% confidence interval for the proportion of households which use their cell phone service without land lines?

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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