Pennies (n=800) OutputOptionsSummary statistics:ColumnMeanStd. dev. Median Range Min Max Q1Q3 IQR SkewnessKurtosisModenYear800 1989.8475 12.439561199163 1948 2011 1981 200019 -0.39373882 -0.48524393 2000Normal: Mean-1989.8, SD-12.44YearFrequency1202001002000801980196019602000Nomal QuantileYear QUESTION 1The U.S. Mint produces approximately 13 billion pennies a year. A random sample (n-800) of pennies were collected and their minted years were recorded. The output, histogram, box-plot, andQQ plot for the distribution of the years of production for the pennies can be found on the attached document.PenniesNormalitylnformation 200405.pdfThe mean is only slightly less than theis left skewed.which suggests the distribution1. histogramv Thisis within the acceptable range (between -1 and +1).Interquartile range2.Theis also between the acceptable range of -3 and +3.3. kurtosisv Thehas only one mode and the tails are approximately equal length.4. longer5. medianThe box and whisker plot shows the median is approximately in the center of the6. Normalv The left whisker is slightlythan the right whisker.7. QQ Plotv The raw scores hug the theoretical line on the8. shorterTherefore, there is enough evidence to assume that the data can be considered9. skewness10. Skewed>

Mode is the highest frequency Q2= Median = middle most observation when data arrange in the…

The U.S. Mint produces approximately 13 billion pennies a year. A random sample (n=800) of pennies were collected and their minted years were recorded. The output, histogram, box-plot, and QQ plot for the distribution of the years of production for the pennies can found on the attached document. PenniesNormalitylnformation 200405.pdf

The U.S. Mint produces approximately 13 billion pennies a year. A random sample (n=800) of pennies were collected and their minted years were recorded. The output, histogram, box-plot, and QQ plot for the distribution of the years of production for the pennies can found on the attached document. PenniesNormalitylnformation 200405.pdf

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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Concept explainers

Confidence Intervals

When we calculate intervals in probability and statistics, it can be simply termed as finding out a confidence interval. The confidence interval is usually calculated from the data set which is observed. The value of the parameter that needs to be calculated is present here only.

Question

100%

Pennies (n=800) Output
Options
Summary statistics:
Column
Mean
Std. dev. Median Range Min Max Q1
Q3 IQR Skewness
Kurtosis
Mode
n
Year
800 1989.8475 12.439561
1991
63 1948 2011 1981 2000
19 -0.39373882 -0.48524393 2000
Normal: Mean-1989.8, SD-12.44
Year
Frequency
120
200
100
2000
80
1980
1960
1960
2000
Nomal Quantile
Year

QUESTION 1
The U.S. Mint produces approximately 13 billion pennies a year. A random sample (n-800) of pennies were collected and their minted years were recorded. The output, histogram, box-plot, and
QQ plot for the distribution of the years of production for the pennies can be found on the attached document.
PenniesNormalitylnformation 200405.pdf
The mean is only slightly less than the
is left skewed.
which suggests the distribution
1. histogram
v This
is within the acceptable range (between -1 and +1).
Interquartile range
2.
The
is also between the acceptable range of -3 and +3.
3. kurtosis
v The
has only one mode and the tails are approximately equal length.
4. longer
5. median
The box and whisker plot shows the median is approximately in the center of the
6. Normal
v The left whisker is slightly
than the right whisker.
7. QQ Plot
v The raw scores hug the theoretical line on the
8. shorter
Therefore, there is enough evidence to assume that the data can be considered
9. skewness
10. Skewed
>

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