You believe the population is normally distributed. Find the 98% confidence interval. Enter your answer as an open-interval (i.e., parentheses) accurate to twp decimal places (because the sample data are reported accurate to one decimal place). You intend to estimate a population mean u with the following sample.10.51622.127.220.530.627.133.829.926.328.829.7You believe the population is normally distributed. Find the 98% confidence interval. Enter youranswer as an open-interval (i.e., parentheses) accurate to twp decimal places (because the sampledata are reported accurate to one decimal place).98% C.I. =Answer should be obtained without any preliminary rounding. However, the critical value may berounded to 3 decimal places.Check Answer

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Description: You believe the population is normally distributed. Find the 98% confidence interval. Enter your answer as an open-interval (i.e., parentheses) accurate to twp decimal places (because the sample data are reported accurate to one decimal place). You i

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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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You believe the population is normally distributed. Find the 98% confidence interval. Enter your answer as an open-interval (i.e., parentheses) accurate to twp decimal places (because the sample data are reported accurate to one decimal place).

You intend to estimate a population mean u with the following sample.
10.5
16
22.1
27.2
20.5
30.6
27.1
33.8
29.9
26.3
28.8
29.7
You believe the population is normally distributed. Find the 98% confidence interval. Enter your
answer as an open-interval (i.e., parentheses) accurate to twp decimal places (because the sample
data are reported accurate to one decimal place).
98% C.I. =
Answer should be obtained without any preliminary rounding. However, the critical value may be
rounded to 3 decimal places.
Check Answer

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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