Math 202 – Probability and Statistics
MathFinal
202 Test
– Probability
Prep – exam
and Statistics
reviewMath
summary.pdf
Final
202 Test
– Probability
Prep – exam
and Statistics
review summary.pdf
Final Test Prep – exam review summary.pdf
Math 202 –
Probability and
Statistics Final
Test Prep – exam
review summary
Math 202 – Probability and Statistics
Math
Final
202Test
–Prep
Probability
– examandreview
Statistics
Math
summary.pdf
202
Final–
Test
Probability
Prep –and
exam
Statistics
review Final
summary
Test Prep – exam review summary.pdf
,Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf
Terms in this set (203)
Statistical Significance When your discovered p-value is less than your alpha (.05 if not given). States that
chance alone would rarely produce an equally extreme result.
Non-Response Bias A bias caused by a number of people who did not respond to the survey.
p-Value The probability of getting a result at least as extreme as the result given from the
test. The lower the value the stronger the evidence.
Empirical rule States that, in a normal distribution, about 68% of the terms are within one
standard deviation of the mean, about 95% are within two standard deviations,
and about 99.7% are within three standard deviations (normal curve).
Lurking Variable A variable other than x and y that simultaneously affects both variables,
accounting for the correlation between the two.
Null Hypothesis The hypothesis that states there is no difference between two or more sets of
data in a significance test.
Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep Math 202 _ Probability and Statistics Final Test Prep.pdf
,Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf
Quota Sample A sample deliberately constructed to reflect several of the major characteristics
of a given population.
Probability The likelihood that a particular event will occur.
Descriptive Statistics Statistical procedures used to describe characteristics and responses of groups
of subjects.
Median The middle score in a distribution; half the scores are above it and half are below
it.
Stemplot A graphical representation of a quantitative data set. Leading values of each data
point are presented as stems and second digits are given as leaves.
Data Information gathered from observations.
Margin of Error The range of percentage points in which the sample accurately reflects the
population, the range surrounding a sample's response within which researchers
are confident the larger population's true response would fall.
Normal A sample which follows the Empirical Rule for distribution.
Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep Math 202 _ Probability and Statistics Final Test Prep.pdf
, Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf
Simple Random Sample Every member of the population has a known and equal chance of selection.
Sampling Distribution The distribution of values taken by the statistic in all possible samples of the same
size from the same population.
Interpolation Using the Least Squares Regression Line to predict a y-value for an x-value within
the x-data set.
Qualitative Data identified by something other than numbers.
Theoretical Probability The ratio of the number of favorable outcomes to the number of possible
outcomes if all outcomes have the same chance of happening.
Block Design The random assignment of subjects to treatments is carried out separately within
each block.
Least Squares Regression Line The line that minimizes the sum of squared residuals.
Type II Error An error that occurs when a researcher concludes that the independent variable
had no effect on the dependent variable, when in truth it did; a false negative.
Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep Math 202 _ Probability and Statistics Final Test Prep.pdf
MathFinal
202 Test
– Probability
Prep – exam
and Statistics
reviewMath
summary.pdf
Final
202 Test
– Probability
Prep – exam
and Statistics
review summary.pdf
Final Test Prep – exam review summary.pdf
Math 202 –
Probability and
Statistics Final
Test Prep – exam
review summary
Math 202 – Probability and Statistics
Math
Final
202Test
–Prep
Probability
– examandreview
Statistics
Math
summary.pdf
202
Final–
Test
Probability
Prep –and
exam
Statistics
review Final
summary
Test Prep – exam review summary.pdf
,Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf
Terms in this set (203)
Statistical Significance When your discovered p-value is less than your alpha (.05 if not given). States that
chance alone would rarely produce an equally extreme result.
Non-Response Bias A bias caused by a number of people who did not respond to the survey.
p-Value The probability of getting a result at least as extreme as the result given from the
test. The lower the value the stronger the evidence.
Empirical rule States that, in a normal distribution, about 68% of the terms are within one
standard deviation of the mean, about 95% are within two standard deviations,
and about 99.7% are within three standard deviations (normal curve).
Lurking Variable A variable other than x and y that simultaneously affects both variables,
accounting for the correlation between the two.
Null Hypothesis The hypothesis that states there is no difference between two or more sets of
data in a significance test.
Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep Math 202 _ Probability and Statistics Final Test Prep.pdf
,Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf
Quota Sample A sample deliberately constructed to reflect several of the major characteristics
of a given population.
Probability The likelihood that a particular event will occur.
Descriptive Statistics Statistical procedures used to describe characteristics and responses of groups
of subjects.
Median The middle score in a distribution; half the scores are above it and half are below
it.
Stemplot A graphical representation of a quantitative data set. Leading values of each data
point are presented as stems and second digits are given as leaves.
Data Information gathered from observations.
Margin of Error The range of percentage points in which the sample accurately reflects the
population, the range surrounding a sample's response within which researchers
are confident the larger population's true response would fall.
Normal A sample which follows the Empirical Rule for distribution.
Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep Math 202 _ Probability and Statistics Final Test Prep.pdf
, Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep.pdf
Simple Random Sample Every member of the population has a known and equal chance of selection.
Sampling Distribution The distribution of values taken by the statistic in all possible samples of the same
size from the same population.
Interpolation Using the Least Squares Regression Line to predict a y-value for an x-value within
the x-data set.
Qualitative Data identified by something other than numbers.
Theoretical Probability The ratio of the number of favorable outcomes to the number of possible
outcomes if all outcomes have the same chance of happening.
Block Design The random assignment of subjects to treatments is carried out separately within
each block.
Least Squares Regression Line The line that minimizes the sum of squared residuals.
Type II Error An error that occurs when a researcher concludes that the independent variable
had no effect on the dependent variable, when in truth it did; a false negative.
Math 202 _ Probability and Statistics Final Test Prep.pdf Math 202 _ Probability and Statistics Final Test Prep Math 202 _ Probability and Statistics Final Test Prep.pdf
