(a) Does the Normal Probability plot show apparent curvature? What does your answer imply regard- ing the population distribution?(b) Report the sample mean, its estimated standard error and the 95% confidence interval for the population mean. You can find all these answers from Summary Statistics.(c) Construct a 99% confidence interval for the average mercury concentration from this lake after the smelter accident. DistributionsMercury0.95Summary Statistics1.28-0.9Мean1.466Std Dev0.3764648Std Err Mean0.0972028-0.80.67--0.7Upper 95% Mean 1.6744792Lower 95% Mean 1.2575208150.6-0.0--0.50.40.3-0.67--0.2-1.28- 0.1-1.64.-0.050.811.21.41.61.822.2Normal Quantile Plot

The formula to calculate the confidence interval for mean is,

Answered: (a) Does the Normal Probability plot…

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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Related questions

Question

(a) Does the Normal Probability plot show apparent curvature? What does your answer imply regard- ing the population distribution?

(b) Report the sample mean, its estimated standard error and the 95% confidence interval for the population mean. You can find all these answers from Summary Statistics.

Distributions
Mercury
0.95
Summary Statistics
1.28-0.9
Мean
1.466
Std Dev
0.3764648
Std Err Mean
0.0972028
-0.8
0.67-
-0.7
Upper 95% Mean 1.6744792
Lower 95% Mean 1.2575208
15
0.6
-0.0--0.5
0.4
0.3
-0.67-
-0.2
-1.28- 0.1
-1.64.
-0.05
0.8
1
1.2
1.4
1.6
1.8
2
2.2
Normal Quantile Plot

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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