Statistics Through Applications
Statistics Through Applications
2nd Edition
ISBN: 9781429219747
Author: Daren S. Starnes, David Moore, Dan Yates
Publisher: Macmillan Higher Education
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Concept explainers

Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of tw…
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency o…
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow compar…
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Chapter 2.2, Problem 2.46E
To determine

To Explain: that which measure of centre and spread would be use to summarize the distribution on the basis of the figure.

Expert Solution & Answer
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Explanation of Solution

Given:

  Statistics Through Applications, Chapter 2.2, Problem 2.46E

By seeing the stem plot the median and IQR would be condense the centre and spread better, because the there is 4 outlier which is 27, 31, 34, 55 and the median and IQR are not affected by outliers while the mean and standard deviation are affected by the outliers

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Chapter 2 Solutions

Statistics Through Applications

Ch. 2.1 - Prob. 2.1ECh. 2.1 - Prob. 2.2ECh. 2.1 - Prob. 2.3ECh. 2.1 - Prob. 2.4ECh. 2.1 - Prob. 2.5ECh. 2.1 - Prob. 2.6ECh. 2.1 - Prob. 2.7ECh. 2.1 - Prob. 2.8ECh. 2.1 - Prob. 2.9ECh. 2.1 - Prob. 2.10E
Ch. 2.1 - Prob. 2.11ECh. 2.1 - Prob. 2.12ECh. 2.1 - Prob. 2.13ECh. 2.1 - Prob. 2.14ECh. 2.1 - Prob. 2.15ECh. 2.1 - Prob. 2.16ECh. 2.1 - Prob. 2.17ECh. 2.1 - Prob. 2.19ECh. 2.1 - Prob. 2.20ECh. 2.1 - Prob. 2.21ECh. 2.1 - Prob. 2.23ECh. 2.1 - Prob. 2.24ECh. 2.1 - Prob. 2.25ECh. 2.1 - Prob. 2.26ECh. 2.2 - Prob. 2.27ECh. 2.2 - Prob. 2.28ECh. 2.2 - Prob. 2.29ECh. 2.2 - Prob. 2.30ECh. 2.2 - Prob. 2.31ECh. 2.2 - Prob. 2.32ECh. 2.2 - Prob. 2.33ECh. 2.2 - Prob. 2.34ECh. 2.2 - Prob. 2.35ECh. 2.2 - Prob. 2.36ECh. 2.2 - Prob. 2.37ECh. 2.2 - Prob. 2.38ECh. 2.2 - Prob. 2.39ECh. 2.2 - Prob. 2.40ECh. 2.2 - Prob. 2.41ECh. 2.2 - Prob. 2.42ECh. 2.2 - Prob. 2.43ECh. 2.2 - Prob. 2.44ECh. 2.2 - Prob. 2.45ECh. 2.2 - Prob. 2.46ECh. 2.2 - Prob. 2.47ECh. 2.2 - Prob. 2.48ECh. 2.2 - Prob. 2.49ECh. 2.2 - Prob. 2.50ECh. 2.2 - Prob. 2.51ECh. 2.2 - Prob. 2.52ECh. 2.3 - Prob. 2.53ECh. 2.3 - Prob. 2.54ECh. 2.3 - Prob. 2.55ECh. 2.3 - Prob. 2.56ECh. 2.3 - Prob. 2.57ECh. 2.3 - Prob. 2.58ECh. 2.3 - Prob. 2.59ECh. 2.3 - Prob. 2.60ECh. 2.3 - Prob. 2.61ECh. 2.3 - Prob. 2.62ECh. 2.3 - Prob. 2.63ECh. 2.3 - Prob. 2.64ECh. 2.3 - Prob. 2.65ECh. 2 - Prob. 2.67RECh. 2 - Prob. 2.68RECh. 2 - Prob. 2.69RECh. 2 - Prob. 2.70RECh. 2 - Prob. 2.71RECh. 2 - Prob. 2.72RECh. 2 - Prob. 2.73RECh. 2 - Prob. 2.74RECh. 2 - Prob. 2.75RECh. 2 - Prob. 2.76RE

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