A psychiatrist is interested in finding a 98% confidence interval for the tics per hour exhibited by children with Tourette syndrome. The data below show the tics in an observed hour for 15 randomly selected children with Tourette syndrome. Round answers to 3 decimal places where possible. 12829110121085412123 a. To compute the confidence interval use a distribution.b. With 98% confidence the population mean number of tics per hour that children with Tourette syndrome exhibit is between and .c. If many groups of 15 randomly selected children with Tourette syndrome are observed, then a different confidence interval would be produced from each group. About percent of these confidence intervals will contain the true population mean number of tics per hour and about percent will not contain the true population mean number of tics per hour. A psychiatrist is interested in finding a 98% confidence interval for the tics per hourexhibited by children with Tourette syndrome. The data below show the tics in anobserved hour for 15 randomly selected children with Tourette syndrome. Roundanswers to 3 decimal places where possible.12 8 2 91 10 12 10 8 5 41 2 12 3a. To compute the confidence interval use a ? distribution.b. With 98% confidence the population mean number of tics per hour that childrenwith Tourette syndrome exhibit is betweenandc. If many groups of 15 randomly selected children with Tourette syndrome areobserved, then a different confidence interval would be produced from each group.Aboutpercent of these confidence intervals will contain the truepercent will notpopulation mean number of tics per hour and aboutcontain the true population mean number of tics per hour.

12,8,2,9,1,10,12,10,8,5,4,1,2,12,3 sample size(n)=15

Answered: A psychiatrist is interested in finding…

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 psychiatrist is interested in finding a 98% confidence interval for the tics per hour exhibited by children with Tourette syndrome. The data below show the tics in an observed hour for 15 randomly selected children with Tourette syndrome. Round answers to 3 decimal places where possible.

a. To compute the confidence interval use a distribution.

b. With 98% confidence the population mean number of tics per hour that children with Tourette syndrome exhibit is between and .

c. If many groups of 15 randomly selected children with Tourette syndrome are observed, then a different confidence interval would be produced from each group. About percent of these confidence intervals will contain the true population mean number of tics per hour and about percent will not contain the true population mean number of tics per hour.

A psychiatrist is interested in finding a 98% confidence interval for the tics per hour
exhibited by children with Tourette syndrome. The data below show the tics in an
observed hour for 15 randomly selected children with Tourette syndrome. Round
answers to 3 decimal places where possible.
12 8 2 91 10 12 10 8 5 4
1 2 12 3
a. To compute the confidence interval use a ? distribution.
b. With 98% confidence the population mean number of tics per hour that children
with Tourette syndrome exhibit is between
and
c. If many groups of 15 randomly selected children with Tourette syndrome are
observed, then a different confidence interval would be produced from each group.
About
percent of these confidence intervals will contain the true
percent will not
population mean number of tics per hour and about
contain the true population mean number of tics per hour.

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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