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mth208
MTH-208W Home
MTH-208W-WN130 meets in Room A208 on the main campus of Delta College.
Monday and Wednesday, 10:00am-11:25am
Office Hours
in person, Main Campus, G202
Monday and Wednesday, 11:30am-12:25pm
Tuesday and Thursday, 11:00am-11:55am
in person, Delta Downtown Midland Center, Room 204
online, Zoom meeting
Thursday, 4:00pm-4:55pm - enter Zoom office hours
or by appointment - enter Zoom appointment
Assessments
XYZ Homework
Written Homework
Submitted Mondays and Wednesdays by 11:59pm as a single PDF file to our
MTH-208W Assignments folder.
Exams
All exams are given in class.
Calendar
Calendar
of all assessment deadlines (homework, quizzes, exams)
Week 4 in Elementary Statistics
To make the best use of the measures of center and spread we will need to use
the principles of probability. Probability is the branch of mathematics that
shows us how to judge how likely (or unlikely) an event or observation is.
You need to become familiar with and know how to use terms such as
experiment , outcome , sample space ,
event , probability , ... (and more)
in many different examples and contexts.
You need to know how to logically combine and describe events with and ,
or , and complement using the addition rule and the multiplication
rule.
Two special cases of events interacting are independent events and
mutually exclusive events . Know the difference between these two cases
and know how to test for each case.
Contingency tables are a convenient way to organize and document the
interaction of multiple events
Elementary Statistics
Week 1 (January 8-14)
1.1 Definitions of Statistics, Probability, and Key Terms
1.2 Data, Sampling, and Variation in Data and Sampling
1.3 Frequency, Frequency Tables, and Levels of Measurement
1.4 Experimental Design and Ethics
2.1 Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
Week 2 (January 15-21)
Martin Luther King Holiday - Monday, January 17
2.2 Histograms, Frequency Polygons, and Time Series Graphs
2.3 Measures of the Location of the Data
2.4 Box Plots
Week 3 (January 22-28)
2.5 Measures of the Center of the Data
2.6 Skewness and Mean, Median, and Mode
2.7 Measures of the Spread of the Data
Week 4 (January 29-February 4)
3.1 Terminology
3.2 Independent and Mutually Exclusive Events
3.3 Two Basic Rules of Probability
3.4 Contingency Tables
Week 5 (February 5-11)
3.5 Tree and Venn Diagrams
4.1 Probability Distribution Function (PDF) for a Discrete Random Variable
4.2 Mean or Expected Value and Standard Deviation
4.3 Binomial Distribution
Week 6 (February 12-18)
5.1 Continuous Probability Functions
Exam 1
Week 7 (February 19-25)
6.1 The Standard Normal Distribution
6.2 Using the Normal Distribution
7.1 The Central Limit Theorem for Sample Means (Averages)
Week 8 (February 26-March 4)
8.1 A Single Population Mean using the Normal Distribution
8.2 A Single Population Mean using the Student t Distribution
8.3 A Population Proportion
9.1 Null and Alternative Hypotheses
9.2 Outcomes and the Type I and Type II Errors
Week 9 (March 5-11)
Week 10 (March 12-18)
9.3 Distributions Needed for Hypothesis Testing
9.4 Rare Events, the Sample, Decision and Conclusion
9.5 Additional Information and Full Hypothesis Test Examples
10.1 Two Population Means with Unknown Standard Deviations
Week 11 (March 19-25)
10.2 Two Population Means with Known Standard Deviations
10.3 Comparing Two Independent Population Proportions
10.4 Matched or Paired Samples
Week 12 (March 26-April 1)
11.1 Facts About the Chi-Square Distribution
Exam 2
Week 13 (April 2-8)
11.2 Goodness-of-Fit Test
11.3 Test of Independence
12.1 Linear Equations
12.2 Scatter Plots
Week 14 (April 9-15)
12.3 The Regression Equation
12.4 Testing the Significance of the Correlation Coefficient
12.5 Prediction
12.6 Outliers
Week 15 (April 16-22)
13.1 One-Way ANOVA
13.2 The F Distribution and the F-Ratio
13.3 Facts About the F Distribution
13.4 Test of Two Variances
Week 16 (April 23-April 29)