SEHS Topic 6: Measurement and Evaluation of Human Performance

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Presentation transcript:

SEHS Topic 6: Measurement and Evaluation of Human Performance

Can you calculate the mean and standard deviation Can you calculate the mean and standard deviation?(must be able to perform it on a Ti-84 or similar calculator) Instructions: http://www.ehow.com/how_8054806_calculate-standard-deviations-ti84s.html

Outline what information error bars provide on a graph

What do 1 and 2 standard deviations say about a normally distributed data set? Approximately 68% to 95% of the data values fall within +/- one or two standard deviations of the mean

Explain how the standard deviation is useful

Coefficient of Variation

When a t-test can be applied?: Deduce the significance of the difference between two sets of data using calculated t-test values When a t-test can be applied?: Data should have a normal distribution (aka. a continuous probability distribution ) every normal curve (regardless of its mean or standard deviation) conforms to the following "rule". About 68% of the area under the curve falls within 1 standard deviation of the mean. About 95% of the area under the curve falls within 2 standard deviations of the mean. About 99.7% of the area under the curve falls within 3 standard deviations of the mean.) * Sample size of at least 10/data set *Used for two-tailed *Paired or unpaired data

T-test Cont’d http://www.ats.ucla.edu/stat/mult_pkg/faq/general/tail_tests.htm

There is a relationship between lung cancer and smoking Explain that the existence of a correlation does not establish that there is a causal relationship between two variables Relationship vs cause Specificity There is a relationship between lung cancer and smoking Is smoking the cause of all lung cancers? Strong correlation but not necessarily the cause

Proper Study Design When measuring an individual’s fitness levels it is important to ensure it is done as well as possible Main factors to take into account: Specificity (sport specific tests….ex?) Accuracy(technical/instrument upkeep) Reliability (the degree to which a measure would produce the same result from one occasion to another) – test after skill is learned completely to avoid habituation effect Validity(sport specific test and repititions)

Designing sport and exercise science experiments Cause and effect experimentation Does taking 20g of creatine phosphate 30 minutes before a resistance training workout produce significant improvement of one’s 1 rep max? What’s wrong with this design? How can it be designed better? PRE-TEST ---- TREATMENT W/ CP ------- POST-TEST

Here’s a hint: EXPERIMENTAL GROUP PRE-TEST ------- ------ POST TEST CONTROL GROUP

Made better still by adding a placebo