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FIXED AP Stats Vocab Review Flashcards | StudBud
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FIXED AP Stats Vocab Review
FIXED AP Stats Vocab Review
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#apstats #vocab #review
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1
Rule of thumb that all expected counts must be at least 5.
Components
Expected counts
Observed counts
Large sample size condition
2
A number that describes some characteristic of the population.
Parameter
Variability
Statistic
Biased estimator
3
Expected number of trials required to get the first success.
Mean of a geometric random variable
Probability Distribution
Mean of a random variable
Binomial Coefficient
4
Measures the direction and strength of the linear relationship between two variables.
Regression line equation
Correlation coefficient
Coefficient of determination
Extrapolation
5
Individuals to which treatments are applied.
Experimental units
Sample
Control group
Subjects
6
The set of all possible outcomes of a chance process.
Sample space S
Union
Intersection
General addition rule
7
Used to compare the distribution of a quantitative variable for two groups.
Relative frequency table
Pie chart
Frequency table
Back-to-back stemplot
8
Denoted by
A
∪
B
, consists of all outcomes in
A
,or
B
, or both.
Union
General addition rule
Intersection
Probability
9
When
n
is large, the sampling distribution of the sample mean is approximately Normal.
Population distribution
Central limit theorem (CLT)
Sampling distribution
Variability
10
Is completely specified by two numbers, mean
μ
and standard deviation
σ
.
Mean of a density curve
Normal Probability Plot
Standardized values (z-scores)
Normal distribution
11
Gives the possible values of a random variable and their probabilities.
Continuous Random Variable
Probability Distribution
Binomial Setting
Geometric Distribution
12
Can be described by the
direction, form, and strength
of the relationship.
Overall pattern
Least-squares regression line
Scatterplot
Regression line
13
When our
P
-value is less than the chosen significance level.
Statistically significant
Degrees of freedom
Type I error
Power
14
Occurs when a selected individual cannot be contacted or refuses to cooperate.
Anonymity
Bias
Nonresponse
Response bias
15
Also known as the "empirical rule."
Density curves
Standardized values (z-scores)
The 68-95-99.7 Rule
Normal distribution
16
Study designs that involve making two observations on the same or two similar individuals.
One-sample t intervalfor μ
Test statistic
Paired data
One-sample z intervalfor a p
17
The mean of its sampling distribution is the true value of the parameter being estimated.
Parameter
Statistic
Biased estimator
Unbiased estimator
18
Null states the specified distribution of the categorical variable is correct.
Chi-square test for assoc/independence
Chi-square goodness-of-fit test
Chi-square distributions
Chi-square test for homogeneity
19
An observation that if removed it would markedly change the result of the calculation.
Outlier
Residual
Influential
Extrapolation
20
An inactive (fake) treatment.
Placebo
Control group
Inference
Block
21
Occurrence of one event has no effect on the chance the other event will happen.
Independent events
Law of Large Numbers
Mutually exclusive (disjoint)
Conditional probability
22
Describes the spread.
Sampling distribution
Sampling variability
Central limit theorem (CLT)
Variability
23
An individual value that falls outside the overall pattern of a distribution.
Resistant measure
Mode
Roundoff error
Outlier
24
Denoted by
A
∩
B
, refers to the situation when both events occur at the same time.
Intersection
Mutually exclusive (disjoint)
Event
Union
25
The arithmetic average.
Mode
Median
Mean
Standard deviation
26
A statement of “no difference.”
Alternative Hypothesis Ha
P-value
Degrees of freedom
Null hypothesis H0
27
Displays the distribution of a quantitative variable.
Dotplot
Pie chart
Segmented bar graph
Histogram
28
Deliberately imposes some treatment on individuals to measure their responses.
Cluster sample
Experiment
Convenience sample
Observational study
29
All individuals in the chosen group are included in the sample.
Experiment
Sampling error
Census
Cluster sample
30
The design of a statistical study systematically favors certain outcomes.
Single-blind
Lurking variable
Bias
Lack of realism
31
Difference of third and first quartiles.
Variance
Range
Standard deviation
Interquartile Range
32
The imitation of chance behavior, based on a model that accurately reflects the situation.
Tree diagram
Conditional probability
Simulation
Probability
33
Describes a graph of quantitative data with two clear peaks.
Symmetry
Multimodal
Bimodal
Skewness
34
A graph of the five-number summary.
Relative frequency table
Back-to-back stemplot
Boxplot
Pie chart
35
If the right and left sides of a graph are approximately mirror images of each other.
Skewness
Bimodal
Symmetry
Multimodal
36
A sample selected by taking the members of the population that are easiest to reach.
Convenience sample
Simple random sample(SRS)
Observational study
Cluster sample
37
The amount by which
y
is predicted to change when
x
increases by one unit.
Residual
Slope
y intercept
Correlation
38
Used to display the sample space for a chance process that involves a sequence of outcomes.
Simulation
Tree diagram
Probability model
Sample space S
39
Maximum value minus the minimum value.
Standard deviation
Interquartile Range
Range
Variance
40
Groups of individuals that are similar in some way that might affect their responses.
Strata
Experimental units
Sample
Control group
41
The probability that the events
A
and
B
occur can be found using
P
(
A
∩
B
) =
P
(
A
) ∙
P
(
B
|
A
).
General addition rule
General multiplication rule
Law of Large Numbers
Complement rule
42
The number such that half the observations are smaller and the other half are larger.
Median
Mean
Mode
Range
43
Occurs when some members of the population are left out of the sampling frame.
Bias
Lurking variable
Undercoverage
Subjects
44
Refers to the event “not
A.
”
Complement of an event AC
Conditional probability
General addition rule
General multiplication rule
45
A number that describes some characteristic of a sample.
Parameter
Variability
Statistic
Unbiased estimator
46
Has mean 0 and standard deviation 1.
Normal probability plot
Normal Distribution
Standard Normal distribution
Density curve
47
When the standard deviation of a statistic is estimated from data.
Standard error
Type II error
Margin of error
Type I error
48
A variable that helps explain or influences changes in the other variable.
Confounding
Lurking variable
Explanatory variable
Response variable
49
The average squared distance of the observations in a data set from their mean.
Mean
Variance
Standard deviation
Range
50
A variable that measures an outcome of a study.
Response variable
Explanatory variable
Scatterplot
Correlation
51
A study that attempts to collect data from every individual in the population.
Inference
Cluster sample
Sample
Census
52
In a statistical study, the entire group of individuals about which we want information.
Population
Control
Factor
Sample
53
The value of a statistic varies in repeated random sampling.
Sampling distribution
Variability
Sampling variability
Biased estimator
54
There is no affect between the probability of one variable and the probability of the other.
Mean of a random variable
Independent Random Variables
Continuous Random Variable
Discrete Random Variable
55
Has the general form: estimate ± margin of error.
Significance test
Standard error
Robust procedures
Confidence interval
56
Occurs if
H
0
is rejected when
H
0
is true.
Test statistic
Type I error
Type II error
Power
57
Measures the average distance of the observations from their mean.
Interquartile Range
Variance
Distribution
Standard deviation
58
Assesses the evidence provided by data about some claim concerning a population.
Confidence interval
Test statistic
Significance test
Robust procedures
59
A specific value of an explanatory variable (factor) in an experiment.
Level
Control
Block
Strata
60
Tells how many standard deviations a data point is from mean.
The 68-95-99.7 Rule
Mean of a density curve
Standardized values (z-scores)
Pth percentile
61
Family of distributions that take only positive values and are skewed to the right.
T-Distributions
Chi-square distributions
Normal Distributions
62
An important class of density curves that are symmetric, single-peaked, and bell-shaped.
Normal curves
Standard Normal distribution
Density curve
Normal probability plot
63
The difference between an observed value and the value predicted by the regression line.
Residual
Outlier
Correlation
Influential
64
The most important influence on the answers given to a survey.
Confounding
Response bias
Sampling error
Wording of questions
65
Let
Y
= the number of trials required to get the first success.
Linear Transformation
Probability Distribution
Geometric Distribution
Binomial Setting
66
Experimental units that are human beings.
Population
Control
Factor
Subjects
67
The probability that one event happens given that another event has already happened.
Probability
Independent events
Event
Conditional probability
68
A simple graph that shows each data value as a dot above its location on a number line.
Pie chart
Side by side bar graph
Dotplot
Histogram
69
Involves adding a constant, multiplying by a constant, or both.
Mean of a random variable
Linear Transformation
Binomial Setting
Probability Distribution
70
Minimum Q1 M Q3 Maximum
Outlier
The Five-Number Summary
Resistant measure
1.5 × IQR Rule for Outliers
71
The probability that the statistic would take a value as extreme as the one actually observed.
Confidence level C
Power
P-value
Test statistic
72
Gives every possible sample of a given size the same chance to be chosen.
Observational study
Cluster sample
Convenience sample
Simple random sample(SRS)
73
Two events have no outcomes in common and so can never occur together.
Mutually exclusive (disjoint)
Independent events
Event
Complement of an event AC