Following are boxplots comparing the amount of econozole | StudySoup
Statistics for Engineers and Scientists | 4th Edition | ISBN: 9780073401331 | Authors: William Navidi

Table of Contents

Appendix B
Partial Derivatives

1
Sampling and Descriptive Statistics
1
Sampling and Descriptive Statistics
1.1
Sampling
1.1
Sampling
1.2
Summary Statistics
1.2
Summary Statistics
1.3
Graphical Summaries
1.3
Graphical Summaries

2
Probability
2
Probability
2.1
Basic Ideas
2.1
Basic Ideas
2.2
Counting Methods
2.2
Counting Methods
2.3
Conditional Probability and Independence
2.3
Conditional Probability and Independence
2.4
Random Variables
2.4
Random Variables
2.5
Linear Functions of Random Variables
2.5
Linear Functions of Random Variables
2.6
Jointly Distributed Random Variables
2.6
Jointly Distributed Random Variables

3
Propagation of Error
3
Propagation of Error
3.1
Measurement Error
3.1
Measurement Error
3.2
Linear Combinations of Measurements
3.2
Linear Combinations of Measurements
3.3
Uncertainties for Functions of One Measurement
3.3
Uncertainties for Functions of One Measurement
3.4
Uncertainties for Functions of Several Measurements
3.4
Uncertainties for Functions of Several Measurements

4
Commonly Used Distributions
4
Commonly Used Distributions
4.1
The Bernoulli Distribution
4.1
The Bernoulli Distribution
4.10
Probability Plots
4.11
The Central Limit Theorem
4.11
The Central Limit Theorem
4.12
Simulation
4.12
Simulation
4.15
4.2
The Binomial Distribution
4.2
The Binomial Distribution
4.3
The Poisson Distribution
4.3
The Poisson Distribution
4.4
Some Other Discrete Distributions
4.4
Some Other Discrete Distributions
4.5
The Normal Distribution
4.5
The Normal Distribution
4.6
The Lognormal Distribution
4.6
The Lognormal Distribution
4.7
The Exponential Distribution
4.7
The Exponential Distribution
4.8
Some Other Continuous Distributions
4.8
Some Other Continuous Distributions
4.9
Some Principles of Point Estimation
4.9
Some Principles of Point Estimation

5
Confidence Intervals
5
Confidence Intervals
5.1
Large-Sample Confidence Intervals for a Population Mean
5.1
Large-Sample Confidence Intervals for a Population Mean
5.10
Using Simulation to Construct Confidence Intervals
5.2
Confidence Intervals for Proportions
5.2
Confidence Intervals for Proportions
5.3
Small-Sample Confidence Intervals for a Population Mean
5.3
Small-Sample Confidence Intervals for a Population Mean
5.4
Confidence Intervals for the Difference Between Two Means
5.4
Confidence Intervals for the Difference Between Two Means
5.5
Confidence Intervals for the Difference Between Two Proportions
5.5
Confidence Intervals for the Difference Between Two Proportions
5.6
Small-Sample Confidence Intervals for the Difference Between Two Means
5.6
Small-Sample Confidence Intervals for the Difference Between Two Means
5.7
Confidence Intervals with Paired Data
5.7
Confidence Intervals with Paired Data
5.8
Confidence Intervals for the Variance and Standard Deviation of a Normal Population
5.8
Confidence Intervals for the Variance and Standard Deviation of a Normal Population
5.9
Prediction Intervals and Tolerance Intervals
5.9
Prediction Intervals and Tolerance Intervals

6
Hypothesis Testing
6
Hypothesis Testing
6.1
Large-Sample Tests for a Population Mean
6.1
Large-Sample Tests for a Population Mean
6.10
Tests with Categorical Data
6.11
Tests for Variances of Normal Populations
6.11
Tests for Variances of Normal Populations
6.12
Fixed-Level Testing
6.12
Fixed-Level Testing
6.13
Power
6.13
Power
6.14
Multiple Tests
6.14
Multiple Tests
6.15
Using Simulation to Perform Hypothesis Tests
6.15
Using Simulation to Perform Hypothesis Tests
6.2
Drawing Conclusions from the Results of Hypothesis Tests
6.2
Drawing Conclusions from the Results of Hypothesis Tests
6.3
Tests for a Population Proportion
6.3
Tests for a Population Proportion
6.4
Small-Sample Tests for a Population Mean
6.4
Small-Sample Tests for a Population Mean
6.5
Large-Sample Tests for the Difference Between Two Means
6.5
Large-Sample Tests for the Difference Between Two Means
6.6
Tests for the Difference Between Two Proportions
6.6
Tests for the Difference Between Two Proportions
6.7
Small-Sample Tests for the Difference Between Two Means
6.7
Small-Sample Tests for the Difference Between Two Means
6.8
Tests with Paired Data
6.8
Tests with Paired Data
6.9
Distribution-Free Tests
6.9
Distribution-Free Tests

7
Correlation and Simple Linear Regression
7
Correlation and Simple Linear Regression
7.1
Correlation
7.1
Correlation
7.2
The Least-Squares Line
7.2
The Least-Squares Line
7.3
Uncertainties in the Least-Squares Coefficients
7.3
Uncertainties in the Least-Squares Coefficients
7.4
Checking Assumptions and Transforming Data
7.4
Checking Assumptions and Transforming Data

8
Multiple Regression
8
Multiple Regression
8.1
The Multiple Regression Model
8.1
The Multiple Regression Model
8.2
Confounding and Collinearity
8.2
Confounding and Collinearity
8.3
Model Selection
8.3
Model Selection

9
Factorial Experiments
9
Factorial Experiments
9.1
One-Factor Experiments
9.1
One-Factor Experiments
9.2
Pairwise Comparisons in One-Factor Experiments
9.2
Pairwise Comparisons in One-Factor Experiments
9.3
Two-Factor Experiments
9.3
Two-Factor Experiments
9.4
Randomized Complete Block Designs
9.4
Randomized Complete Block Designs
9.5
2p Factorial Experiments
9.5
2p Factorial Experiments

10
Statistical Quality Control
10
Statistical Quality Control
10.1
Basic Ideas
10.1
Basic Ideas
10.2
Control Charts for Variables
10.2
Control Charts for Variables
10.3
Control Charts for Attributes
10.3
Control Charts for Attributes
10.4
The CUSUM Chart
10.4
The CUSUM Chart
10.5
Process Capability
10.5
Process Capability

Textbook Solutions for Statistics for Engineers and Scientists

Chapter 1.3 Problem 14E

Question

Following are boxplots comparing the amount of econozole nitrate (in \(\mu \mathrm{g/cm^2}\)) absorbed into skin for a brand name and a generic antifungal ointment (from the article “Improved Bioequivalence Assessment of Topical Dermatological Drug Products Using Dermatopharmacokinetics.” B. N’Dri-Stempfer, W. Navidi, R. Guy, and A. Bunge, Pharmaceutical Research, 2009:316–328).

True or false:

a. The median amount absorbed for the brand name drug is greater than the 25th percentile of the amount absorbed for the generic drug.

b. The median amount absorbed for the brand name drug is greater than the median amount absorbed for the generic drug.

c. About half the sample values for the brand name drug are between 2 and 3.

d. There is a greater proportion of values outside the box for the brand name drug than for the generic drug.

e. Both samples are skewed to the right.

f. Both samples contain outliers.

Solution

Step 1 of  7

A box plot (aka box and whisker plot) uses boxes and lines to depict the distributions of one or more groups of numeric data. Box limits indicate the range of the central 50% of the data, with a central line marking the median value.

Outliers are data points that are plotted outside of the whiskers on a box plot and are significantly different from the rest of the data. Their position on the plot can identify them and can be investigated to determine if they are errors or unusual values.

The data is given as,

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full solution

Title Statistics for Engineers and Scientists  4 
Author William Navidi
ISBN 9780073401331

Following are boxplots comparing the amount of econozole

Chapter 1.3 textbook questions

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