A telephone survey of 100 randomly selected US adults found that 41% of them say they believe in ghosts. For each of the following, determine whether you are being asked to do a Confidence Interval or Hypothesis test, then do all the steps for this procedure.Does this provide evidence that fewer than half (50%) of all US adults believe in ghosts?Include all steps (including checking conditions for Normality using the null proportion) and show your work on the calculations. An approximate standard error is .Find and interpret a 90% confidence interval for the proportion of all US adults who believe in ghosts using the normal distribution. Include all steps (including checking conditions for normality using the sample proportion) and show your work on the calculations. An approximate standard error is .

Sample size: Sample proportion:

Answered: A telephone survey of 100 randomly…

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 telephone survey of 100 randomly selected US adults found that 41% of them say they believe in ghosts. For each of the following, determine whether you are being asked to do a Confidence Interval or Hypothesis test, then do all the steps for this procedure.

1. Does this provide evidence that fewer than half (50%) of all US adults believe in ghosts?
  Include all steps (including checking conditions for Normality using the null proportion) and show your work on the calculations. An approximate standard error is .
2. Find and interpret a 90% confidence interval for the proportion of all US adults who believe in ghosts using the normal distribution.
  Include all steps (including checking conditions for normality using the sample proportion) and show your work on the calculations. An approximate standard error is .

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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