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IB SEHS Final Study Guide/90 Exam Questions with answers
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IB SEHS Final Study Guide/90Exam Questions with answers
Define mean and how to calculate it - -mean = average
- add all numbers given and divide the sum by the amount of numbers given
*OR* STAT > EDIT > insert data into L1 > STAT > CALC > 1-Var-Stats >
Calculate (press Enter) > /x = mean
-Define standard deviation and how to calculate it - -- a measure of how far
apart the data points are from the mean
- STAT > EDIT > insert data into L1 and L2 > STAT > CALC > 1-Var-Stats >
Calculate (press Enter) > Sx = standard deviation
-Write the percents of data that lie between +/- 1, +/- 2, and +/- 3 standard
deviations - -- +/- 1 = 68%
- +/- 2 = 95%
- +/- 3 = 99%
-Describe the role of error bars on a graph - -- a graphical representation of
variability of the data
- can be used to show either range of data or the standard deviation on a
graph
-Define and calculate the Coefficient of Variation - -- the variation of data
around the mean, as represented as a percent
- (Standard deviation/mean) x 100 = %
-Explain the purpose of a t-test, when to use it, and how to determine the
difference between 2 sets of data is significant - -- Used to measure whether
there is a significant difference between the means of two data sets
- helps to determine if probability (p) that the difference between the two
data sets happened by a random chance or because of the factor that was
actually tested in the experiment
- If p value is closer to 0 (p < 0.5), then the difference happened by chance
> reject null hypothesis
- If p value is closer to 1 (p > 0.5), then the difference happened because of
the factor tested in the experiment >
accept null hypothesis
-Define degree of freedom - -sum of the sample sizes of the 2 sets of data
minus 2
-Calculate r (correlation coefficient) and r^2 (coefficient of determination) -
-- 2nd + 0 > scroll dow to DiagnosticOn, press "Enter" until it says "Done" >
, STAT > EDIT > insert data into L1 and L2 > STAT > CALC > 4: LinReg (ax+b)
> Calculate (press Enter) > r = correlation coefficient and r^2 = coefficient
of determination
-Determine whether there is a strong positive, strong negative, weak
positive, or weak negative correlation between data - -- if r = 1 -> strong
positive correlation (both data sets travel in the same direction; either both
up or both down)
- in between here = weak positive correlation
- if r is closer to/exactly 0 -> no correlation (no relationship between two
data sets)
- in between here = weak negative correlation
- if r = -1 -> strong negative correlation (data sets travel in different
directions; one goes up while the other goes down)
-List and define the four factors study designs must take into account - --
Specificity - Choosing the right types of activities to improve a specific
element of fitness
- Accuracy - ensuring that instruments and equipment used are working
properly
- Reliability - ensuring that the same results would happen again by
conducting several trials (including a practice trial)
- Validity - test measure what it actually claims to measure
-Discuss the importance of a control group, double-blind experiment,
randomization, and placebo - -- control group = baseline data to compare
results to
- double blind = eliminate biased results from researcher and participant
- randomization = makes sure the participants are representative of entire
population
- placebo = provide a way to measure the effect of the treatment being
tested & provides a important baseline to compare to the experimental
group
-describe the importance of PAR-Q - -- ensures that the participant is
physically capable of performing in the study
- ensure that the test will not be detrimental to participant's health/kill them
-Discuss the pros and cons of field vs lab tests - -Field:
- Pros: Cheap, minimal equipment and expertise, specific to the sport &
conducted in environment
- cons: less accuracy of measurements (environment could alter test results),
less safe
Lab:
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