Answered: Telephone Calls A researcher knew that…

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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Telephone Calls A researcher knew that before cell phones, a person made on average 2.5 calls per day. He believes that the number of calls made per day today is higher. He selects a random sample of 32 individuals who use a cell phone and asks them to keep track of the number of calls that they made on a certain day. The mean was 2.8. At α=0.05, is there enough evidence to support the researcher's claim? The standard deviation for the population found by a previous study is 0.6. Assume that the variable is normally distributed. Use the P-value method with tables.

Compute the test value. Always round z score values to at least two decimal places.

Find the P-value. Round the answer to four decimal places.

P-value=

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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