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Lecture 1

# KIN 155 Lecture Notes - Lecture 1: Standard Deviation, Central Tendency

Department
Kinesiology
Course Code
KIN 155
Professor
Fran Allard
Lecture
1

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What is statistically significant?
Being able to see the variability in a study
Difference study: means and Standard deviation
Probability and confidant they are different.
What is biologically or clinically significant?
Has a meaningful impact
Does the result make a difference in respect to the situation
Define in your own words the concept of the mean?
Overall average, showing the central tendency of the data
Define in your own words the concept of the Standard Deviation?
A measure of the variability around the central tendency
Stand error vs Standard Deviation
S.E.- distribution of how means compare
S.D. distribution of how means are individual standards points compare
Interpreting data (graphs and tables)
Differences versus associations?
Differences between groups/ treatments compares means and variability between groups.
(ex. Pre vs post exercise, Group A vs Group B)
Associations: see how one variable relates to the other. See correlation between variables.
What is statistically significant?
Being able to see the variability in a study
Difference study: means and Standard deviation
Associations: if the data is very comparable and it inter-laps each other.
Properties of means and standard deviation it doesn't cant about how different the
averages are
Probability and confidant they are different.
What is biologically or clinically significant?
Has a meaningful impact
Does the result make a difference in respect to the situation
If there is a overlap its okay
Is the difference meaningful
Depends on the situation and the group.
Can use means to figure out
(i.e. stroke patients gaining on VO2 is amazing compared to gaining 1 in an athlete not a
big difference)
Review questions:
Define in your own words the concept of the mean?
Overall average, showing the central tendency of the data
Define in your own words the concept of the Standard Deviation?
A measure of the variability around the central tendency
Stand error vs Standard Deviation
S.E.- distribution of how means compare
S.D. distribution of how means are individual standards points compare
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