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Sport Science Final Questions with 100% correct answers | verified | latest update 2024
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Sport Science Final Questions with 100% correct answers | verified | latest update 2024
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Sport Science FinalP-value
_______represent the probability that an observed data set was due to random chance
Interval
_____ data include data that can be ordered, the interval between each rank is
standardized, but there is no true zero or fixed starting point
Ordinal
____data include data that can be ordered, but the interval between each rank is not
standardized
Nominal
____data organizes data types categorically
Casual interference
There are three primary use cases for statistical modeling. ____ involve leveraging data to
uncover how or why independent variables influence dependent variables
Predictive modeling
There are three primary use cases for statistical modeling. ____involve utilizing algorithms or
mathematical equations to project how variables might interact in the future.
Pearson's; positive
___ measures the strength of a linear relationship between two variables and ranges
between -1 to 1. If y (dependent variable) increases proportionally to increases in x
(independent variable), we would expect this value to be_____.
Means
____provide an estimate of the meaningful difference between two means.
Cohen's d
_____ is calculated by dividing the difference between two means by the pooled standard
deviation and provides an estimate of the expected effect of a treatment.
Central tendency
, The mode values describe a ____, or a typical value, of the height (cm) measurements of
each of the 50 person samples
Ratio
_____data include data that can be ordered, the interval between each rank is standardized,
and there is a true zero or fixed starting point
descriptive statistics
There are three primary use cases for statistical modeling. ____ involve summarizing,
organizing, and simplifying large data sets to help with conceptualizing or interpreting the
data.
Pearson's; negative
____measures the strength of a linear relationship between two variables and ranges
between -1 to 1. If y (dependent variable) decreases proportionally to increases in x
(independent variable), we would expect this value to be___
Symmetry
The skew in this table is describing the _____, or the shape of the observed values, in the
height (cm) measurements of each of the 50 person samples
R2; positive
____represents the data variance that is explained by the linear model. If y (dependent
variable) decreases proportionally to increase in x (independent variable), we would expect
this value to be____
Injury surveillance
What is the first step in injury risk modeling?
A theoretical framework
Monitoring any process or outcome in sports should begin with which of the following?
Athlete 1 is better prepared for completing the triathlon
Two athletes are preparing for an olympic distance triathlon. A sport scientist calculates an
ACWR (uncoupled) value of 0.5 for Athlete 1 and 2.5 for Athlete 2 on the day before the
race. What hypothesis will the sport scientist make based on the ACWR results?
Acute:chronic workload ratio
What is the most common measure of workload progression?
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