Outcome 3.1Understand the purpose of and be able to compute measures of location (mean, median,
mode, quartiles, and various percentiles).
Textbook Resources:
Readings: 3.1, p. 99-107
Exercises: p. 108-110, qu. 8
Additional Recommended Exercises: p. 108-1
Question 1 of 5
GREY CELLS FOR USE IN PART B OF ASSIGNMENT ONLY
Student assignment mark out of 10:
Instructor mark out of 10:
10 (half marks are not permitted)
(based on student mark and student annotations)
The manager of AJ's Fitness Centre, a chain of
Outcome 13.1Understand the differences between the regression model, the regression equation, and
the estimated regression equation.
Textbook Resources:
Readings: 14.1, p. 584-7
Course Learning Resources:
13.1 Regression Concepts.pptx
Petfood.xlsx
Learnin
Outcome 12.1Understand the basic principles of an experimental study, the purpose of analysis of
variance, and the use of the F distribution in performing the analysis of variance procedure.
Textbook Resources:
Readings:13.1, p. 529-534
Course Learning Re
Using the tree diagram on the START HERE worksheet in the Templates 10.xlsx workbook,
determine what type of hypothesis test each of the following would require.
a. The Computer Anxiety Rating Scale (CARS) measures an individuals level of computer
anxiety
Outcome 11.1Understand the role of the Chi-square distribution in conducting
non-parametric tests of goodness of fit and independence.
Web Resources:
Readings: http:/stattrek.com/lesson3/chisquare.aspx
Applet: http:/www.stat.tamu.edu/~west/applets/chisqde
Outcome 14.1Understand how multiple regression analysis can be used to develop relationships
involving one dependent variable and several independent variables and be able to interpret the
coefficients in a multiple regression analysis.
Textbook Resources
Outcome 5.1 Understand the concepts of a random variable (including the difference between
discrete and continuous random variables) and a probability distribution.
Textbook Resources:
Readings: 5.1, p. 210-212
Exercises: p. 212-213, qu. 1, 3
Readings: 5.
Outcome 6.1Understand how probabilities are computed for continuous random variables (and how
that is different than for discrete random variables).
Textbook Resources:
Readings: Introduction, p. 253
Exercises: p. 212-213, qu. 1, 3; p. 216-218, qu. 8, 10
Outcome 8.1Know how to construct and interpret an interval estimate of a population mean when
the population standard deviation is known.
T extbook Resources:
Readings: Introduction, p. 325-326; 8.1, p. 326-332
Exercises: p. 332-334, qu. 5, 6
Additional R
Outcome 7.1Understand the importance of sampling and how results from samples can be used to
provide estimates of population characteristics such as the population mean, the population standard
deviation and/or the population proportion.
Textbook Resource