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# Test Bank (Downloadable Product) for An Introduction to Statistics and Data Analysis Using Stata From Research Design to Final Report 1st Edition By Lisa Daniels, Nicholas Minot, ISBN: 9781506371832

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Downloadable Instructor Test Bank for An Introduction to Statistics and Data Analysis Using Stata From Research Design to Final Report 1st Edition Daniels

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Test Bank for An Introduction to Statistics and Data Analysis Using Stata From Research Design to Final Report 1st Edition Daniels

Downloadable Instructor Test Bank for An Introduction to Statistics and Data Analysis Using Stata From Research Design to Final Report 1st Edition By Lisa Daniels, Nicholas Minot, ISBN: 9781506371832

Table Of Content

Part 1: The research process and data collection
Chapter 1: The research process and data collection

Read the literature and identify gaps or ways to extend the literature

Examine the theory

Develop your research questions and hypotheses

Analyze the data

Write the research paper

Chapter 2: Sampling techniques

Sample design

Selecting a sample

Sampling weights

Chapter 3: Questionnaire design

Structured and semi-structure questionnaires

Open- and closed-ended questions

General guidelines for questionnaire design

Designing the questions

Collecting the response data

Skip patterns

Ethical issues

Part 2: Describing Data
Chapter 4: An Introduction to Stata

Opening Stata and Stata Windows

Working with existing data

Entering your own data into Stata

Using log files and saving your work

Getting help

Summary of commands used in chapter

Chapter 5: Preparing and transforming your data

Checking for outliers

Creating new variables

Missing values in Stata

Summary of commands used in chapter

Chapter 6: Descriptive statistics

Types of variable and measurement

Descriptive statistics for all types of variables — frequency tables and modes

Descriptive statistics for variables measured as ordinal, interval, and ratio scales — median and percentiles

Descriptive statistics for continuous variables — mean, variance, standard deviation, and coefficient of variation

Descriptive statistics for categorical variables measured on a nominal or ordinal scale — cross tabulation

Applying sampling weights

Formatting output for use in a document (Word, Google Docs, etc.)

Graphs to describe data

Summary of code used in chapter

Part 3: Testing Hypotheses
Chapter 7: The Normal distribution

The normal distribution and standard scores

Sampling distributions and standard errors

Examining the theory and identifying the research question and hypothesis

Testing for statistical significance

Rejecting or not rejecting the null hypothesis

Interpreting the results

Central limit theorem

Presenting the results

Summary of commands used in chapter

Chapter 8: Testing a hypothesis about a single mean

When to use the one-sample t test

Calculating the one-sample t test

Conducting a one-sample t test

Interpreting the output

Presenting the results

Summary of commands used in chapter

Chapter 9: Testing a hypothesis about two means

When to use a two independent-samples t test

Calculating the t statistic

Conducting a t test

Interpreting the output

Presenting the results

Summary of commands used in chapter

Chapter 10: Analysis of variance

When to use one-way analysis of variance

Calculating the F ratio

Conducting a one-way analysis of variance test

Interpreting the output

Is one mean different or are all of them different?

Presenting the results

Summary of commands used in chapter

Chapter 11: Cross-tabulation and the chi-squared test

When to use the chi-squared test

Calculating the chi-squared test

Conducting a chi-squared test

Interpreting the output

Presenting the results

Summary of commands used in chapter

Part 4: Exploring relationships
Chapter 12: Linear regression analysis

When to use a regression analysis

Correlation

Simple regression analysis

Multiple regression analysis

Presenting the results

Summary of commands used in chapter

Chapter 13: Regression Diagnostics

Measurement error

Specification error

Multicollinearity

Heteroskedasticity

Endogeneity

Non-normality

Presenting the results

Summary of commands used in chapter

Chapter 14: Regression analysis with categorical dependent variables

When to use logit or probit analysis

Understanding the logit model

Running logit and interpreting the results

Logit vs probit regression models

Regression analysis with other types of categorical dependent variables

Presenting the results

Summary of commands used in chapter

Chapter 15: Writing a research paper

Introduction section of a research paper

Literature review

Data and methods

Results

Discussion

Conclusions