In this article, we are sharing with our audience the genuine PDF download of Data Analysis with Microsoft Excel PDF using direct links which can be found at the end of this blog post. To ensure user safety and faster downloads, we have uploaded this .pdf file to our online cloud repository so that you can enjoy a hassle-free downloading experience.
Here, at the Medicos Republic, we believe in quality and speed which are a part of our core philosophy and promise to our readers. We hope that you people benefit from our blog! 🙂 Now before we share the free PDF download of Data Analysis with Microsoft Excel PDF with you, let’s take a look at a few of the important details regarding this ebook.
Overview
Here’s the complete overview of Data Analysis with Microsoft Excel PDF:
Features of Data Analysis with Microsoft Excel PDF
Here’s a quick overview of the essential features of this book:
This popular best-selling book shows students and professionals how to do data analysis with Microsoft (R) Excel. DATA ANALYSIS WITH MICROSOFT EXCEL teaches the fundamental concepts of statistics and how to use Microsoft Excel to solve the kind of data-intensive problems that arise in business and elsewhere. Even students with no previous experience using spreadsheets will find that this text’s step-by-step approach, extensive tutorials, and examples make it easy to learn how to use Excel for analyzing data. A downloadable StatPlus (TM) add-in for Microsoft Excel, data sets for exercises, and interactive concept tutorials are available on the Book Companion Website.
Table of Contents
Below is the complete table of contents offered inside Data Analysis with Microsoft Excel PDF:
1. Getting Started with Excel.
Special Files for This Book. Excel and Spreadsheets. Excel Workbooks and Worksheets. Worksheet Cells. Printing from Excel. Saving Your Work. Excel Add-Ins. Features of Statplus. Exiting Excel.
2. Working with Data.
Data entry. Data Formats. Formulas and Functions. Cell References. Range Names. Sorting Data. Querying Data. Importing Data from Text Files. Importing Data from Databases. Exercises.
3. Working with Charts.
Working with Excel Charts. Introducing Scatterplots. Creating Charts with the Chart Wizard. Editing a Chart. Identifying Data Points. Creating Bubble Plots. Breaking a Scatterplot into Categories. Plotting Several Variables. Exercises.
PART II: FUNDAMENTALS OF STATISTICS.
4. Describing Your Data.
Variables and Descriptive Statistics. Looking at Distributions with Frequency Tables. Working with Histograms. Working with Stem and Leaf Plots. Distribution Statistics. Working with Boxplots. Exercises.
5. Probability Distributions.
Probability. Probability Distributions. Random Variables and Random Samples. The Normal Distribution. Parameters and Estimators. The Sampling Distribution. The Central Limit Theorem. Exercises.
6. Statistical Inference.
Confidence Intervals. Hypothesis Testing. The t-Distribution. Applying the t-Test to Paired Data. Applying a Nonparametric Test to Paired Data. The Two-Sample t-Test. Applying the t-Test to Two-Sample Data. Applying a Nonparametric Test to Two-Sample Data. Final Thoughts about Statistical Inference. Exercises.
7. Tables.
Pivot Tables. Two-Way Tables. Computing Expected Counts. The Pearson Chi-Square Statistic. Other Table Statistics. Validity of the Chi-Square Test with Small Frequencies. Tables with Ordinal Variables. Exercises.
PART III: STATISTICAL METHODS.
8. Regression and Correlation.
Simple Linear Regression. Regression Functions in Excel. Performing a Regression on Analysis. Checking the Regression Model. Correlation. Creating a Correlation Matrix. Creating a Scatterplot Matrix. Exercises.
9. Multiple Regression.
Regression Models with Multiple Parameters. Regression Example: Predicting Grades. Testing Regression Assumptions. Plotting Residuals s. Predicted Values. Regression Example: Sex Discrimination. Exercises.
10. Analysis of Variance.
One-Way Analysis of Variance. Analysis of Variance Example: Comparing Hotel Prices. Comparing Means. Using the Bonferroni Correction Factor. When to Use Bonferroni. One-Way Analysis of Variance and Regression. Two-Way Analysis of Variance. A Two-Factor Example. Two-Way Analysis Example: Comparing Soft Drinks. Exercises.
11. Time Series.
Time Series Concepts. Time Series Example: The Dow in the 1980s. The Autocorrelation Function. Moving Averages. Simple Exponential Smoothing. Two-Parameter Exponential Smoothing. Seasonality. Seasonal Example: Beer Production. Three-Parameter Exponential. Smoothing. Optimizing the Exponential. Smoothing Constant (Optional). Exercises.
12. Quality Control.
Statistical Quality Control. Control Charts. The Chi [Overbar] Chart. The Range Chart. The C-Chart. The P-Chart. Control Charts for Individual Observations. The Pareto Chart. Exercises.
Appendix.
Excel Reference.
Bibliography.
Index.
Data Analysis with Microsoft Excel PDF Free Download
Alright, now in this part of the article, you will be able to access the free PDF download of Data Analysis with Microsoft Excel PDF using our direct links mentioned at the end of this article. We have uploaded a genuine PDF ebook copy of this book to our online file repository so that you can enjoy a blazing-fast and safe downloading experience.
Here’s the cover image preview of Data Analysis with Microsoft Excel PDF:
FILE SIZE: 11 MB
Please use the direct link mentioned below to download Data Analysis with Microsoft Excel PDF for free now:
Happy learning, people! 🙂
DMCA Disclaimer: This site complies with DMCA Digital Copyright Laws.
PLEASE NOTE: We do not host/store any copyrighted content on our website, it’s a catalog of links that are already found on the internet. Please check out our DMCA Policy. If you feel that we have violated your copyrights, please get in touch with us immediately, and the said content will be PERMANENTLY removed within 24 hours.
You may send an email to madxperts [at] gmail.com for all DMCA / Removal Requests or use our Contact Us page.
Check out our DMCA Policy.
