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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Question
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Chapter 2.1, Problem 2.9E
To determine

To Explain: the overall pattern of the dot plot.

Expert Solution & Answer
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Explanation of Solution

Given:

  Statistics Through Applications, Chapter 2.1, Problem 2.9E

By seeing the dot plot centre is at 19 and 1st quartile and 3rd quartile are 16 and 21 respectively. Inter quartile range is 5 and the minimum and maximum values are 10 and 24 respectively so the spread of the data is between 10 and 24 and the mode which is 16 because of highest frequency of the number. There is no outlier and distribution is negative skewed or left skewed. Majority of car having mileage 16 MPG then goes to upside and there are 2 cars which have quite low MPG but majority car is having 16 MPG to 22 MPG that is the pattern which looking forth.

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Chapter 2.1, Problem 2.8E
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Chapter 2.1, Problem 2.10E

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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