Exam 1 Study Guide- Chapter 1 and 2 (1)

docx

School

Montgomery College *

*We aren’t endorsed by this school

Course

117

Subject

Statistics

Date

Feb 20, 2024

Type

docx

Pages

Uploaded by SuperElectronPorpoise22

Study Guide Chapter 1 and 2 Chapter 1: Collecting Data In Chapter 1, we learn about appropriate ways to collect data. A dataset consists of values for one or more variables that record or measure information for each of the cases in a sample or population. A variable is generally classified as either categorical , if it divides the data cases into groups, or quantitative , if it measures some numerical quantity. What we can infer about a population based on the data in a sample depends on the method of data collection. We try to collect a sample that is representative of the population and that avoids sampling bias. The most effective way to avoid sampling bias is to select a random sample. Also, we try to avoid other possible sources of bias by considering things like the wording of a question. Data collected to analyze a relationship between variables can come from an observational study or a randomized experiment. In an observational study, we need to be wary of confounding variables. The handling of different treatment groups in an experiment should be as similar as possible, with the use of blinding and/or a placebo treatment when appropriate. The only way to infer a causal association between variables statistically is through data obtained from a randomized experiment 1

Chapter 2: Describing Data In Chapter 2, we learn about methods to display and summarize data. We use statistical plots to display information and summary statistics to quantify aspects of that information. The type of visualization or statistic we use often depends on the types of variables (quantitative or categorical), as summarized below: Describing a Single Variable Quantitative variable Graphical display: dotplot, histogram, boxplot Summary statistics: Center: mean, median Other locations: maximum, minimum, first quartile, third quartile Spread: standard deviation, interquartile range, range Categorical variable Graphical display: bar chart, pie chart Summary statistics: frequency, relative frequency, proportion Describing a Relationship between Two Variables Quantitative vs Quantitative Graphical display: scatterplot Summary statistics: correlation, regression line Guide to choosing the appropriate method based on the variables 2

and number of categories: Variables Visualization One Categorical Bar chart, Pie chart One Quantitative Histogram, Dotplot, Boxplot Two Quantitative Scatterplot Terminology Cases and Variables Categorical and Quantitative Variables Samples from Populations Statistical Inference Sampling Bias Association 3

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

Causation Confounding Variable Observational Studies and Experiments Randomized Experiment Proportion Outliers and Detection of Outliers Common Shapes for Distributions Mean, Median, Mode Using the Standard Deviation: The 95% Rule Five Number Summary Range and Interquartile Range Scatterplot Correlation Explanatory and Response Variables Least Squares Line and Residual 4

Related Documents

Asset Price Case Questions and Visualization.xlsx

Data analysis_Student_Final_Version.xlsx

LAB 8 Question Sheet answers .pdf

chapter 5 assignment B.docx

STA2023 Lab 1 Fall 2021.docx

Exam 1 Additional Practice Solutions.pdf

1.1 Descriptive Statistics.docx

5.1 Confidence Interval for Population Mean (Population standard deviation Known).docx

Lab 4.docx

Hands on project 5.docx

Hand On Ch3.docx

tutorial_inference1.pdf

Recommended textbooks for you

Functions and Change: A Modeling Approach to Coll...

Algebra

ISBN:9781337111348

Author:Bruce Crauder, Benny Evans, Alan Noell

Publisher:Cengage Learning

Glencoe Algebra 1, Student Edition, 9780079039897...

Algebra

ISBN:9780079039897

Author:Carter

Publisher:McGraw Hill

Holt Mcdougal Larson Pre-algebra: Student Edition...

Algebra

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

SEE MORE TEXTBOOKS

Recommended textbooks for you

Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL