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Test your basic knowledge |
CLEP General Mathematics: Probability And Statistics
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Subjects
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clep
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math
Instructions:
Answer 50 questions in 15 minutes.
If you are not ready to take this test, you can
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 denoted by - pronounced 'x bar'.
The arithmetic mean of a set of numbers x1 - x2 - ... - xn
Divide the sum by the number of values.
Probability density functions
Type 2 Error
2. A scale that represents an ordinal scale such as looks on a scale from 1 to 10.
A sample
Marginal probability
Likert scale
hypotheses
3. Is a sample and the associated data points.
A data set
Conditional probability
The Covariance between two random variables X and Y - with expected values E(X) =
Random variables
4. Have imprecise differences between consecutive values - but have a meaningful order to those values
f(z) - and its cdf by F(z).
Valid measure
Greek letters
Ordinal measurements
5. A numerical measure that describes an aspect of a population.
Beta value
Parameter
Quantitative variable
s-algebras
6. ?r
A Statistical parameter
the population cumulants
Nominal measurements
applied statistics
7. The probability of the observed value or something more extreme under the assumption that the null hypothesis is true.
applied statistics
P-value
Type 2 Error
Particular realizations of a random variable
8. Long-term upward or downward movement over time.
Trend
Dependent Selection
A Statistical parameter
Bias
9. Gives the probability distribution for a continuous random variable.
nominal - ordinal - interval - and ratio
The variance of a random variable
A probability density function
the population mean
10. 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.
methods of least squares
An event
Statistical inference
Reliable measure
11. ?
Greek letters
the population correlation
The variance of a random variable
Coefficient of determination
12. Consists of a number of independent trials repeated under identical conditions. On each trial - there are two possible outcomes.
Divide the sum by the number of values.
Binomial experiment
Observational study
Block
13. Data are gathered and correlations between predictors and response are investigated.
Pairwise independence
Probability density functions
Placebo effect
observational study
14. 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.
Marginal distribution
Divide the sum by the number of values.
the population correlation
s-algebras
15. Design of experiments - using blocking to reduce the influence of confounding variables - and randomized assignment of treatments to subjects to allow unbiased estimates of treatment effects and experimental error. At this stage - the experimenters a
The Expected value
Likert scale
Step 2 of a statistical experiment
Statistics
16. (or just likelihood) is a conditional probability function considered a function of its second argument with its first argument held fixed. For example - imagine pulling a numbered ball with the number k from a bag of n balls - numbered 1 to n. Then
applied statistics
A likelihood function
The Expected value
A population or statistical population
17. Is the probability of an event - ignoring any information about other events. The marginal probability of A is written P(A). Contrast with conditional probability.
Independent Selection
Law of Large Numbers
Marginal probability
Random variables
18. A numerical measure that describes an aspect of a sample.
Skewness
Atomic event
Trend
Statistic
19. A collection of events is mutually independent if for any subset of the collection - the joint probability of all events occurring is equal to the product of the joint probabilities of the individual events. Think of the result of a series of coin-fl
Simulation
Correlation
Mutual independence
Dependent Selection
20. A subjective estimate of probability.
Probability density functions
Type I errors
Credence
hypotheses
21. Gives the probability of events in a probability space.
A Probability measure
The standard deviation
Greek letters
the population mean
22. Is data that can take only two values - usually represented by 0 and 1.
Posterior probability
Binary data
Estimator
Law of Large Numbers
23. Is data arising from counting that can take only non-negative integer values.
Conditional probability
A probability density function
Count data
experimental studies and observational studies.
24. A common goal for a statistical research project is to investigate causality - and in particular to draw a conclusion on the effect of changes in the values of predictors or independent variables on dependent variables or response.
Simulation
covariance of X and Y
Experimental and observational studies
hypotheses
25. In particular - the pdf of the standard normal distribution is denoted by
Descriptive
Estimator
the population variance
f(z) - and its cdf by F(z).
26. 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.
Marginal probability
Independent Selection
inferential statistics
Lurking variable
27. Is a parameter that indexes a family of probability distributions.
A random variable
A Statistical parameter
Seasonal effect
Estimator
28. Statistics involve methods of using information from a sample to draw conclusions regarding the population.
Inferential
Statistical inference
Marginal distribution
The Range
29. A sample selected in such a way that each individual is equally likely to be selected as well as any group of size n is equally likely to be selected.
Simple random sample
That is the median value
Statistic
Inferential statistics
30. Cov[X - Y] :
Probability density
covariance of X and Y
Type I errors
Type 1 Error
31. A consistent - repeated deviation of the sample statistic from the population parameter in the same direction when many samples are taken.
A data point
f(z) - and its cdf by F(z).
A likelihood function
Bias
32. Is a function of the known data that is used to estimate an unknown parameter; an estimate is the result from the actual application of the function to a particular set of data. The mean can be used as an estimator.
Estimator
Posterior probability
experimental studies and observational studies.
A probability density function
33. Describes the spread in the values of the sample statistic when many samples are taken.
Variability
Pairwise independence
A likelihood function
Step 3 of a statistical experiment
34. Are usually written in upper case roman letters: X - Y - etc.
Dependent Selection
hypothesis
Step 2 of a statistical experiment
Random variables
35.
A statistic
A Probability measure
Binomial experiment
the population mean
36. Many statistical methods seek to minimize the mean-squared error - and these are called
Variability
Probability
methods of least squares
Marginal probability
37. Describes a characteristic of an individual to be measured or observed.
Treatment
Probability
Posterior probability
Variable
38. 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
Qualitative variable
An estimate of a parameter
hypotheses
Sample space
39. Are two related but separate academic disciplines. Statistical analysis often uses probability distributions - and the two topics are often studied together. However - probability theory contains much that is of mostly of mathematical interest and no
A data set
observational study
Probability and statistics
Placebo effect
40. Is the exact middle value of a set of numbers Arrange the numbers in numerical order. Find the value in the middle of the list.
The median value
Sample space
Credence
Marginal probability
41. 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
Ratio measurements
Inferential
Experimental and observational studies
Skewness
42. Failing to reject a false null hypothesis.
Type 2 Error
Marginal distribution
An estimate of a parameter
the population correlation
43. To prove the guiding theory further - these predictions are tested as well - as part of the scientific method. If the inference holds true - then the descriptive statistics of the new data increase the soundness of that
Likert scale
Cumulative distribution functions
hypothesis
The Range
44. Summarize the population data by describing what was observed in the sample numerically or graphically. Numerical descriptors include mean and standard deviation for continuous data types (like heights or weights) - while frequency and percentage are
Atomic event
Descriptive statistics
Seasonal effect
Parameter - or 'statistical parameter'
45. Two variables such that their effects on the response variable cannot be distinguished from each other.
Confounded variables
Type I errors
Type 2 Error
Sample space
46. Is its expected value. The mean (or sample mean of a data set is just the average value.
Statistic
The Mean of a random variable
Seasonal effect
The Range
47. Some commonly used symbols for sample statistics
The median value
Inferential statistics
A population or statistical population
the sample mean - the sample variance s2 - the sample correlation coefficient r - the sample cumulants kr.
48. The errors - or difference between the estimated response y^i and the actual measured response yi - collectively
inferential statistics
Bias
A probability distribution
Residuals
49. A data value that falls outside the overall pattern of the graph.
Statistic
Sample space
A sampling distribution
Outlier
50. The probability of correctly detecting a false null hypothesis.
f(z) - and its cdf by F(z).
A probability space
quantitative variables
Power of a test