Geog 2251 Lab 7: ANOVA
Chapter 11
P 696-7, Questions 1 and 3
p. 698 #7
P 699 # 9
P 700 #11, requires large data set 9.
To conduct ANOVA using Excel, use the Data Analysis Tool. If you dont see it under the
DATA Tab, you may need to add it in as we did in
Geography2251:QuantitativeMethodsinGeography
Winter2015
Wednesday:9:3012:20Room5109NW
Instructor:Dr.KathyRunnalls
CourseOutline:
A. Coursedescription
We are bombarded by statistics on a daily basis: BC has the highest child poverty rate in Canada;
2014 wa
Geog 2251 Lab 8: Correlation
Answer the following questions from Chapter 10. For the large data set exercises in Excel,
calculation of correlation coefficients is done through Data Analysis Tool> Correlation (where
you found last weeks ANOVA function). Th
Geog 2251 Lab 6. Hypothesis testing and
Chapter 9: (Hypothesis testing)
Page 458 #13
P 494 #7
P 496 #11 (requires Excel and large data set 5)
Chapter 11:
P 644 # 1, 3, 7
P 648 #15 (requires Excel and large data set 8)
Geog 2251 Lab 5: Hypothesis testing (Chapter 8)
Complete the following questions from your text book. You will be using both the critical value
and p-value approaches to hypothesis testing.
P. 386 Question 1
p. 394 Question 3
p. 395 Question 9
p 397 Quest
Geog 2251 Lab 9: Regression
Complete the following exercises from Chapter 10 of your text book. To conduct regression
analysis in Excel, go to the Data Analysis tool, (where you found the correlation tool). Note that
you have to check off Line Fit Plots u
4/1/2015
Statistics for spatial data and
time series analysis
Geog 2251 Lecture 10
Toblers first law of geography
Everything is related to everything else, but
near things are more related than distant
things.
Geographers are interested in the
_ of vari
3/24/2015
Review of correlation
Correlation coefficients (e.g. Pearsons r) estimate the degree of
association between two sets of paired values
We might also want to know
Regression
Geog 2251 Lecture 9
Summary of steps for measuring correlation
Summariz
3/17/2015
Correlation
Geog 2251 Lecture 8
Last week we looked at measuring relationships
and association between nominal and ordinal data
, , V , etc
Now we are going to examine associations between
_ (or interval /ratio data)
With quantitative data a