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```Anticipating
Patterns
Which
Test?
Exploring
Data
Planning
a Study
100
100
100
100
100
200
200
200
200
200
300
300
300
300
300
400
400
400
400
400
500
500
500
500
500
End Game
Statistical
Inference
Null hypothesis in
Linear Regression Test
using symbols (not
words)
100
What is Ho: β1 = 0?
100
One-sample procedures
are applied to a set of
normally distributed
differences from two
dependent samples
200
What is a matched-pair
t-test?
200
Testing the average SAT
scores of males vs.
females from a sample
of 50 each at OHS
300
What is a two-sample ttest for means?
300
A sample of 50 senior
female heights were
tested against the
nationally stated
average of 5’6”
400
What is a one-sample ttest for mean?
400
Also known as a test of
homogeneity of
proportions
500
What is a Chi-Squared
Test?
500
 = 125,  = 10, and x =
150, then z = ?
100
What is z = 2.5?
100
Of this type of
distribution the
relationship of mean,
median, and mode is:
mode > median > mean
200
What is right-skewed
distribution?
200
Data of this kind can be
displayed using pie
charts, bar charts, or
segmented bar charts
300
What is categorical
(qualitative) data?
300
This indicates the
calculated linear model
is not of good fit
400
What is a pattern in the
residual plot, non-linear
trend in scatterplot, or
very low r2 value?
400
This happens when the
line overestimates the
actual outcome
500
What is a negative
residual?
500
Most useful in
establishing cause-andeffect relationships
100
What is a controlled
experiment?
100
Sampling everyone in a
classroom from a
random selection of
classrooms
200
What is clustering?
200
This is used in
experiments to reduce
variation from
extraneous factors by
creating similar groups
300
What is blocking?
300
These are the three
main components of a
well-designed
experiment.
400
What is randomization,
control, and
replication?
400
These are the 3 main
types of bias in
sampling procedures.
500
What is random
sampling, nonsampling, and random
sampling bias?
500
E(X) = 8, sx = 3,
E(Y) = 20, and sy = 4
What is E(Y – X)
and sy-x?
100
What is
E(Y – X) = 20 – 8 = 12
and sy-x = (32 + 42) = 5?
100
Formula for the mean
value of a discrete
random variable x
200
What is x = xp(x),
where x is a numerical
outcome and p(x) is the
assigned probability for
that x outcome?
200
The Empirical (68-9599.7) Rule can only be
used when this is known
300
What is a normal
distribution?
300
These are the 3
outcomes from the
Sampling Distribution
of X-bar and Central
Limit Theorem.
400
What is 1. X-bar = X
2. X-bar = X/n
3. n must be sufficiently large
(generally n  30)
NO matter the parent population’s
distribution?
400
These are the 3
outcomes from the
Sampling Distribution
of p (proportion) and
Central Limit Theorem.
500
What is 1. p = p
2. p = (p(1-p)/n)
3. n must be sufficiently
large (np  10 and n(1-p) 
10 ) ?
500
Under what conditions
would it be meaningful
to construct a CI when
the data consist of the
entire population
100
What is never?
100
Rejected null hypothesis
when it was actually
true
200
What is Type I Error?
200
Estimated standard
deviation of the statistic
300
What is standard error
of a statistic?
300
Doing this divides the
confidence interval size
by 1.414
400
How does doubling the
sample size change the
CI size?
400
Sample size needed to
obtain a 95%
confidence with a
margin of error of 4%
for a percentage of
voters
500