MATH 115 INTRODUCTION TO STATISTICS

(ACTIVITY-ORIENTED FORMAT)

TEXT:

Rossman, A. and Albert, J. Activities for Statistics: Data, Probability, and Learning from Data .

COURSE COORDINATOR:

Jim Albert (email: albert@math.bgsu.edu)

WEB STUFF

SOLUTIONS TO SELECTED ACTIVITIES

COURSE OUTLINE:

What is data and why do we collect it?

Types of variables: categorical and measurement.

Table of counts and proportions.

Bar graph.

Dotplots.

Stemplots

Shapes of data

Grouped count tables and histograms

The mean.

The median.

The standard deviation.

The 68-95-99.7 rules.

The quartiles.

The five-number summary.

Measure of relative standing.

Comparing groups using stemplots and boxplots.

Looking at the data using a scatterplot.

Review of lines.

Finding a best line using a string.

Least squares line.

Prediction.

Constructing a contingency table.

Marginal counts.

Conditional row proportions .

Stacked bar graph.

Conditional column proportions.

Parameters and statistics.

Simple random samples.

Tables of random digits.

The relative frequency view

The subjective view

Measuring probabilities by means of a calibration experiment

Interpreting odds

Basic probability rules

Listing all possible outcomes (the sample space)

Equally likely outcomes

Constructing a probability table by listing outcomes.

Constructing a probability table by simulation

Probabilities of "or" and "not" events.

An average value of a probability distribution

Understanding a two-way table of probabilities

A Bayes' box: counts categorized by models and data

Learning about a proportion

Summarizing a posterior distribution

 


Page Author: Jim Albert
Document: http://www-math.bgsu.edu/~albert/m115/data/syllabus2.html
Last Modified: December 1, 1999