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Test your basic knowledge |
CLEP General Mathematics: Probability And Statistics
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clep
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math
Instructions:
Answer 50 questions in 15 minutes.
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study here
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Match each statement with the correct term.
Don't refresh. All questions and answers are randomly picked and ordered every time you load a test.
This is a study tool. The 3 wrong answers for each question are randomly chosen from answers to other questions. So, you might find at times the answers obvious, but you will see it re-enforces your understanding as you take the test each time.
1. Is a measure of the asymmetry of the probability distribution of a real-valued random variable. Roughly speaking - a distribution has positive skew (right-skewed) if the higher tail is longer and negative skew (left-skewed) if the lower tail is longe
Null hypothesis
expected value of X
Skewness
Statistic
2. The standard deviation of a sampling distribution.
Standard error
Ratio measurements
A Distribution function
Confounded variables
3. A data value that falls outside the overall pattern of the graph.
Probability density
That value is the median value
Outlier
Independent Selection
4. Given two jointly distributed random variables X and Y - the marginal distribution of X is simply the probability distribution of X ignoring information about Y.
Divide the sum by the number of values.
A data point
Independent Selection
Marginal distribution
5. The result of a Bayesian analysis that encapsulates the combination of prior beliefs or information with observed data
Qualitative variable
The sample space
Experimental and observational studies
Posterior probability
6. Two events are independent if the outcome of one does not affect that of the other (for example - getting a 1 on one die roll does not affect the probability of getting a 1 on a second roll). Similarly - when we assert that two random variables are i
Reliable measure
applied statistics
Independence or Statistical independence
Type 1 Error
7. Used to reduce bias - this measure weights the more relevant information higher than less relevant info.
The Expected value
The median value
Block
Statistical adjustment
8. Descriptive statistics and inferential statistics (a.k.a. - predictive statistics) together comprise
Sampling
applied statistics
Nominal measurements
Coefficient of determination
9. Cov[X - Y] :
The sample space
Descriptive
Independent Selection
covariance of X and Y
10. (cdfs) are denoted by upper case letters - e.g. F(x).
Cumulative distribution functions
descriptive statistics
Type I errors & Type II errors
s-algebras
11. (pdfs) and probability mass functions are denoted by lower case letters - e.g. f(x).
Joint probability
Inferential
An experimental study
Probability density functions
12. Is that part of a population which is actually observed.
Inferential
Dependent Selection
A sample
A statistic
13. Another name for elementary event.
Experimental and observational studies
Type 2 Error
categorical variables
Atomic event
14. When info. in a contingency table is re-organized into more or less categories - relationships seen can change or reverse.
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15. In particular - the pdf of the standard normal distribution is denoted by
f(z) - and its cdf by F(z).
Mutual independence
descriptive statistics
hypotheses
16. Because variables conforming only to nominal or ordinal measurements cannot be reasonably measured numerically - sometimes they are grouped together as
Beta value
Probability
categorical variables
Step 3 of a statistical experiment
17. Have imprecise differences between consecutive values - but have a meaningful order to those values
Prior probability
A statistic
Individual
Ordinal measurements
18. Is the result of applying a statistical algorithm to a data set. It can also be described as an observable random variable.
Parameter - or 'statistical parameter'
A statistic
Variable
The Range
19. Is a parameter that indexes a family of probability distributions.
Power of a test
Step 3 of a statistical experiment
A Statistical parameter
Average and arithmetic mean
20. Samples are drawn from two different populations such that the sample data drawn from one population is completely unrelated to the selection of sample data from the other population.
Independent Selection
Probability density functions
A data set
The arithmetic mean of a set of numbers x1 - x2 - ... - xn
21. Samples are drawn from two different populations such that there is a matching of the first sample data drawn and a corresponding data value in the second sample data.
Trend
Mutual independence
Dependent Selection
Treatment
22. Can be - for example - the possible outcomes of a dice roll (but it is not assigned a value). The distribution function of a random variable gives the probability of different results. We can also derive the mean and variance of a random variable.
Skewness
Binary data
A random variable
Sampling Distribution
23. When you have two or more competing models - choose the simpler of the two models.
s-algebras
Law of Parsimony
Type 2 Error
Sample space
24. A consistent - repeated deviation of the sample statistic from the population parameter in the same direction when many samples are taken.
Beta value
Nominal measurements
observational study
Bias
25. Any specific experimental condition applied to the subjects
Descriptive statistics
A Distribution function
Experimental and observational studies
Treatment
26. In number theory - scatter plots of data generated by a distribution function may be transformed with familiar tools used in statistics to reveal underlying patterns - which may then lead to
hypotheses
The median value
Joint distribution
P-value
27. ?r
the population cumulants
P-value
s-algebras
expected value of X
28. There are two major types of causal statistical studies: In both types of studies - the effect of differences of an independent variable (or variables) on the behavior of the dependent variable are observed. The difference between the two types lies
Statistical dispersion
experimental studies and observational studies.
The arithmetic mean of a set of numbers x1 - x2 - ... - xn
Confounded variables
29. Is a subset of the sample space - to which a probability can be assigned. For example - on rolling a die - 'getting a five or a six' is an event (with a probability of one third if the die is fair).
Type I errors
That value is the median value
The Expected value
An event
30. Var[X] :
Valid measure
variance of X
Likert scale
Power of a test
31. Is defined as the expected value of random variable (X -
hypotheses
Statistical dispersion
The Covariance between two random variables X and Y - with expected values E(X) =
the sample or population mean
32. A numerical measure that describes an aspect of a sample.
quantitative variables
categorical variables
An experimental study
Statistic
33. A subjective estimate of probability.
the sample or population mean
Credence
A Distribution function
Conditional probability
34. Is the length of the smallest interval which contains all the data.
Dependent Selection
Ratio measurements
Binomial experiment
The Range
35. Are written in corresponding lower case letters. For example x1 - x2 - ... - xn could be a sample corresponding to the random variable X.
Experimental and observational studies
Quantitative variable
Particular realizations of a random variable
Step 3 of a statistical experiment
36. Is inference about a population from a random sample drawn from it or - more generally - about a random process from its observed behavior during a finite period of time.
Conditional probability
Seasonal effect
Statistical inference
Inferential
37. A variable has a value or numerical measurement for which operations such as addition or averaging make sense.
Simpson's Paradox
Variable
Binomial experiment
Quantitative variable
38. Is one that explores the correlation between smoking and lung cancer. This type of study typically uses a survey to collect observations about the area of interest and then performs statistical analysis. In this case - the researchers would collect o
The Range
Observational study
A sampling distribution
Quantitative variable
39. Changes over time that show a regular periodicity in the data where regular means over a fixed interval; the time between repetitions is called the period.
Seasonal effect
Parameter - or 'statistical parameter'
A sampling distribution
Alpha value (Level of Significance)
40. Data are gathered and correlations between predictors and response are investigated.
Inferential statistics
Outlier
Conditional probability
observational study
41. Have no meaningful rank order among values.
Nominal measurements
descriptive statistics
Random variables
the sample mean - the sample variance s2 - the sample correlation coefficient r - the sample cumulants kr.
42. Are simply two different terms for the same thing. Add the given values
Simpson's Paradox
Standard error
Average and arithmetic mean
A Distribution function
43. E[X] :
Valid measure
expected value of X
nominal - ordinal - interval - and ratio
Bias
44. Is a sample space over which a probability measure has been defined.
Type 2 Error
Probability density functions
A probability space
Qualitative variable
45. Is the probability of two events occurring together. The joint probability of A and B is written P(A and B) or P(A - B).
Joint probability
Treatment
observational study
A Statistical parameter
46.
A sample
Binomial experiment
the population mean
A Distribution function
47. Is a function that gives the probability of all elements in a given space: see List of probability distributions
The Covariance between two random variables X and Y - with expected values E(X) =
A probability distribution
The standard deviation
s-algebras
48. Is the function that gives the probability distribution of a random variable. It cannot be negative - and its integral on the probability space is equal to 1.
Independence or Statistical independence
A Distribution function
A Statistical parameter
An estimate of a parameter
49. A measurement such that the random error is small
Correlation
Simple random sample
Reliable measure
variance of X
50. (or atomic event) is an event with only one element. For example - when pulling a card out of a deck - 'getting the jack of spades' is an elementary event - while 'getting a king or an ace' is not.
An Elementary event
Marginal probability
A likelihood function
Alpha value (Level of Significance)