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Test your basic knowledge |
CLEP General Mathematics: Probability And Statistics
Start Test
Study First
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
.
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. 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.
Likert scale
f(z) - and its cdf by F(z).
Independent Selection
Dependent Selection
2. To find the average - or arithmetic mean - of a set of numbers:
Confounded variables
Divide the sum by the number of values.
Joint distribution
Kurtosis
3. 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
Estimator
Observational study
A statistic
A sample
4. 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.
A random variable
A data set
The Range
Average and arithmetic mean
5. When there is an even number of values...
Binomial experiment
Simpson's Paradox
Nominal measurements
That is the median value
6. Is the probability distribution - under repeated sampling of the population - of a given statistic.
A sampling distribution
Descriptive statistics
Ordinal measurements
Posterior probability
7. Is denoted by - pronounced 'x bar'.
The arithmetic mean of a set of numbers x1 - x2 - ... - xn
Statistical dispersion
Average and arithmetic mean
Binary data
8. Statistics involve methods of organizing - picturing - and summarizing information from samples or population.
Law of Parsimony
Descriptive
Standard error
Random variables
9. Have imprecise differences between consecutive values - but have a meaningful order to those values
Ordinal measurements
The median value
Credence
Parameter - or 'statistical parameter'
10. Is the study of the collection - organization - analysis - and interpretation of data. It deals with all aspects of this - including the planning of data collection in terms of the design of surveys and experiments.
A statistic
Seasonal effect
Statistics
P-value
11. The objects described by a set of data: person (animal) - place - and - thing. (SUBJECTS)
Qualitative variable
A likelihood function
Individual
The arithmetic mean of a set of numbers x1 - x2 - ... - xn
12. A numerical measure that assesses the strength of a linear relationship between two variables.
Prior probability
categorical variables
Correlation coefficient
A Random vector
13. Is the length of the smallest interval which contains all the data.
the population mean
Block
A statistic
The Range
14. Is a process of selecting observations to obtain knowledge about a population. There are many methods to choose on which sample to do the observations.
f(z) - and its cdf by F(z).
Sampling
Null hypothesis
Simpson's Paradox
15. 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.
Simulation
descriptive statistics
Statistical inference
An Elementary event
16. 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
Parameter - or 'statistical parameter'
Sampling Distribution
Divide the sum by the number of values.
Independence or Statistical independence
17. Have both a meaningful zero value and the distances between different measurements defined; they provide the greatest flexibility in statistical methods that can be used for analyzing the data
Probability density
Ratio measurements
Skewness
descriptive statistics
18. A numerical measure that describes an aspect of a population.
the sample or population mean
Confounded variables
Parameter
A statistic
19. Can refer either to a sample not being representative of the population - or to the difference between the expected value of an estimator and the true value.
Bias
methods of least squares
Prior probability
f(z) - and its cdf by F(z).
20. The probability of the observed value or something more extreme under the assumption that the null hypothesis is true.
P-value
Binomial experiment
Statistics
Correlation coefficient
21. Given two jointly distributed random variables X and Y - the conditional probability distribution of Y given X (written 'Y | X') is the probability distribution of Y when X is known to be a particular value.
Alpha value (Level of Significance)
Outlier
Conditional distribution
Independence or Statistical independence
22. The errors - or difference between the estimated response y^i and the actual measured response yi - collectively
Residuals
An experimental study
Step 2 of a statistical experiment
Random variables
23. Describes the spread in the values of the sample statistic when many samples are taken.
A data point
Variability
The Mean of a random variable
the population mean
24. Is often denoted by placing a caret over the corresponding symbol - e.g. - pronounced 'theta hat'.
Type I errors & Type II errors
An estimate of a parameter
Inferential
Variable
25. In particular - the pdf of the standard normal distribution is denoted by
An Elementary event
A sampling distribution
Seasonal effect
f(z) - and its cdf by F(z).
26. 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.
the population mean
Standard error
Beta value
Simple random sample
27. (also called statistical variability) is a measure of how diverse some data is. It can be expressed by the variance or the standard deviation.
Statistical dispersion
Statistical inference
The sample space
Independent Selection
28. A subjective estimate of probability.
Step 1 of a statistical experiment
Outlier
Simulation
Credence
29. (or multivariate random variable) is a vector whose components are random variables on the same probability space.
Valid measure
A Random vector
Step 3 of a statistical experiment
hypotheses
30. There are four main levels of measurement used in statistics: Each of these have different degrees of usefulness in statistical research.
Step 1 of a statistical experiment
Statistics
nominal - ordinal - interval - and ratio
quantitative variables
31. In the long run - as the sample size increases - the relative frequencies of outcomes approach to the theoretical probability.
Law of Large Numbers
A sample
Variable
The arithmetic mean of a set of numbers x1 - x2 - ... - xn
32. Used to reduce bias - this measure weights the more relevant information higher than less relevant info.
Probability and statistics
Statistical adjustment
P-value
Standard error
33. 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
Probability
Sampling Distribution
experimental studies and observational studies.
Beta value
34. ?r
Independence or Statistical independence
A sample
Quantitative variable
the population cumulants
35. A group of individuals sharing some common features that might affect the treatment.
Type I errors & Type II errors
Step 2 of a statistical experiment
Block
Treatment
36. Is data arising from counting that can take only non-negative integer values.
inferential statistics
Count data
Likert scale
Skewness
37. Is a sample space over which a probability measure has been defined.
Placebo effect
A probability space
A Probability measure
s-algebras
38. (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
A likelihood function
An estimate of a parameter
Statistical adjustment
Standard error
39. 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).
Greek letters
Sample space
An event
Statistical dispersion
40. Planning the research - including finding the number of replicates of the study - using the following information: preliminary estimates regarding the size of treatment effects - alternative hypotheses - and the estimated experimental variability. Co
Interval measurements
Statistical inference
Step 1 of a statistical experiment
Standard error
41. Is data that can take only two values - usually represented by 0 and 1.
Binary data
Statistical adjustment
variance of X
An Elementary event
42. When you have two or more competing models - choose the simpler of the two models.
An Elementary event
The Mean of a random variable
Law of Parsimony
Step 1 of a statistical experiment
43. 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.
s-algebras
Placebo effect
A Distribution function
Binary data
44. Data are gathered and correlations between predictors and response are investigated.
Variability
Independent Selection
observational study
nominal - ordinal - interval - and ratio
45. A numerical facsimilie or representation of a real-world phenomenon.
Statistical dispersion
Simulation
Posterior probability
A data point
46. Many statistical methods seek to minimize the mean-squared error - and these are called
A data point
methods of least squares
A Distribution function
An Elementary event
47. Statistical methods can be used for summarizing or describing a collection of data; this is called
Confounded variables
Observational study
descriptive statistics
the population cumulants
48. Are usually written with upper case calligraphic (e.g. F for the set of sets on which we define the probability P)
s-algebras
A likelihood function
the population variance
That is the median value
49. Gives the probability distribution for a continuous random variable.
Credence
Confounded variables
Bias
A probability density function
50. Working from a null hypothesis two basic forms of error are recognized:
Marginal distribution
Type I errors & Type II errors
Type I errors
Step 1 of a statistical experiment