SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
Test your basic knowledge |
CLEP General Mathematics: Probability And Statistics
Start Test
Study First
Subjects
:
clep
,
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. 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
Ratio measurements
Joint distribution
Power of a test
Probability density functions
2. To find the average - or arithmetic mean - of a set of numbers:
Divide the sum by the number of values.
Skewness
Independence or Statistical independence
Statistic
3. 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
A statistic
Sample space
Placebo effect
4. Because variables conforming only to nominal or ordinal measurements cannot be reasonably measured numerically - sometimes they are grouped together as
A population or statistical population
categorical variables
An Elementary event
An experimental study
5. Describes a characteristic of an individual to be measured or observed.
Variable
Posterior probability
nominal - ordinal - interval - and ratio
Estimator
6. A list of individuals from which the sample is actually selected.
Sampling frame
Valid measure
Random variables
Bias
7. 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
categorical variables
methods of least squares
A data point
8. A numerical facsimilie or representation of a real-world phenomenon.
Correlation coefficient
Atomic event
Simulation
Interval measurements
9. Is a measure of the 'peakedness' of the probability distribution of a real-valued random variable. Higher kurtosis means more of the variance is due to infrequent extreme deviations - as opposed to frequent modestly sized deviations.
Step 1 of a statistical experiment
Kurtosis
Binary data
An Elementary event
10. 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.
Experimental and observational studies
Conditional probability
Placebo effect
Descriptive
11. The probability of correctly detecting a false null hypothesis.
Power of a test
hypothesis
methods of least squares
Bias
12. 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
methods of least squares
The arithmetic mean of a set of numbers x1 - x2 - ... - xn
inferential statistics
Observational study
13. Probability of rejecting a true null hypothesis.
Alpha value (Level of Significance)
Placebo effect
Bias
Quantitative variable
14. Is data arising from counting that can take only non-negative integer values.
Count data
hypothesis
Parameter - or 'statistical parameter'
Statistics
15. 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.
Variability
inferential statistics
Seasonal effect
Simpson's Paradox
16. Is a sample and the associated data points.
A data set
Correlation coefficient
Ordinal measurements
The variance of a random variable
17. Is its expected value. The mean (or sample mean of a data set is just the average value.
Probability
An experimental study
The Mean of a random variable
Count data
18. 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.
Credence
Independent Selection
Dependent Selection
Statistical adjustment
19. When info. in a contingency table is re-organized into more or less categories - relationships seen can change or reverse.
Warning
: Invalid argument supplied for foreach() in
/var/www/html/basicversity.com/show_quiz.php
on line
183
20. A data value that falls outside the overall pattern of the graph.
A Statistical parameter
Statistical dispersion
Outlier
A Distribution function
21. Are usually written in upper case roman letters: X - Y - etc.
Random variables
Nominal measurements
Descriptive statistics
Count data
22. Some commonly used symbols for sample statistics
Coefficient of determination
Bias
the sample mean - the sample variance s2 - the sample correlation coefficient r - the sample cumulants kr.
Atomic event
23. A group of individuals sharing some common features that might affect the treatment.
Statistics
Block
Interval measurements
A likelihood function
24. Is often denoted by placing a caret over the corresponding symbol - e.g. - pronounced 'theta hat'.
The Expected value
An estimate of a parameter
hypotheses
Power of a test
25. 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).
Sampling
Variability
Joint probability
observational study
26. To find the median value of a set of numbers: Arrange the numbers in numerical order. Locate the two middle numbers in the list. Find the average of those two middle values.
methods of least squares
That value is the median value
Placebo effect
Likert scale
27. Cov[X - Y] :
Nominal measurements
covariance of X and Y
Bias
Alpha value (Level of Significance)
28. When there is an even number of values...
Probability density functions
That is the median value
Treatment
Law of Large Numbers
29. (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
A Distribution function
A population or statistical population
The Range
30. 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
An Elementary event
Lurking variable
hypothesis
Independence or Statistical independence
31. 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.
Average and arithmetic mean
Independent Selection
Posterior probability
The variance of a random variable
32. Are written in corresponding lower case letters. For example x1 - x2 - ... - xn could be a sample corresponding to the random variable X.
Particular realizations of a random variable
Interval measurements
A Statistical parameter
methods of least squares
33. A measurement such that the random error is small
Reliable measure
Kurtosis
expected value of X
Experimental and observational studies
34. Some commonly used symbols for population parameters
The sample space
Type II errors
Divide the sum by the number of values.
the population mean
35. There are four main levels of measurement used in statistics: Each of these have different degrees of usefulness in statistical research.
expected value of X
A probability distribution
nominal - ordinal - interval - and ratio
Type 2 Error
36. Statistics involve methods of organizing - picturing - and summarizing information from samples or population.
Simpson's Paradox
Descriptive
Statistical inference
Power of a test
37. ?
Parameter
expected value of X
the population correlation
descriptive statistics
38. 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
A Statistical parameter
the sample or population mean
Skewness
hypothesis
39. Is a parameter that indexes a family of probability distributions.
A random variable
A Statistical parameter
P-value
Nominal measurements
40. Consists of a number of independent trials repeated under identical conditions. On each trial - there are two possible outcomes.
Standard error
Particular realizations of a random variable
A population or statistical population
Binomial experiment
41. When you have two or more competing models - choose the simpler of the two models.
Law of Parsimony
A sampling distribution
Particular realizations of a random variable
methods of least squares
42. The collection of all possible outcomes in an experiment.
Outlier
The variance of a random variable
Residuals
Sample space
43. The standard deviation of a sampling distribution.
Seasonal effect
Binomial experiment
the population correlation
Standard error
44. Also called correlation coefficient - is a numeric measure of the strength of linear relationship between two random variables (one can use it to quantify - for example - how shoe size and height are correlated in the population). An example is the P
Probability density
Correlation
A likelihood function
Bias
45. Uses patterns in the sample data to draw inferences about the population represented - accounting for randomness. These inferences may take the form of: answering yes/no questions about the data (hypothesis testing) - estimating numerical characteris
Treatment
Sample space
Bias
Inferential statistics
46. 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
Sampling
Probability and statistics
Descriptive statistics
Quantitative variable
47. Have meaningful distances between measurements defined - but the zero value is arbitrary (as in the case with longitude and temperature measurements in Celsius or Fahrenheit)
Interval measurements
Alpha value (Level of Significance)
A probability density function
Simpson's Paradox
48. 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
Binary data
s-algebras
Mutual independence
applied statistics
49. Any specific experimental condition applied to the subjects
experimental studies and observational studies.
Alpha value (Level of Significance)
Sampling Distribution
Treatment
50. Probability of accepting a false null hypothesis.
Experimental and observational studies
A random variable
Beta value
Residuals
Sorry!:) No result found.
Can you answer 50 questions in 15 minutes?
Let me suggest you:
Browse all subjects
Browse all tests
Most popular tests
Major Subjects
Tests & Exams
AP
CLEP
DSST
GRE
SAT
GMAT
Certifications
CISSP go to https://www.isc2.org/
PMP
ITIL
RHCE
MCTS
More...
IT Skills
Android Programming
Data Modeling
Objective C Programming
Basic Python Programming
Adobe Illustrator
More...
Business Skills
Advertising Techniques
Business Accounting Basics
Business Strategy
Human Resource Management
Marketing Basics
More...
Soft Skills
Body Language
People Skills
Public Speaking
Persuasion
Job Hunting And Resumes
More...
Vocabulary
GRE Vocab
SAT Vocab
TOEFL Essential Vocab
Basic English Words For All
Global Words You Should Know
Business English
More...
Languages
AP German Vocab
AP Latin Vocab
SAT Subject Test: French
Italian Survival
Norwegian Survival
More...
Engineering
Audio Engineering
Computer Science Engineering
Aerospace Engineering
Chemical Engineering
Structural Engineering
More...
Health Sciences
Basic Nursing Skills
Health Science Language Fundamentals
Veterinary Technology Medical Language
Cardiology
Clinical Surgery
More...
English
Grammar Fundamentals
Literary And Rhetorical Vocab
Elements Of Style Vocab
Introduction To English Major
Complete Advanced Sentences
Literature
Homonyms
More...
Math
Algebra Formulas
Basic Arithmetic: Measurements
Metric Conversions
Geometric Properties
Important Math Facts
Number Sense Vocab
Business Math
More...
Other Major Subjects
Science
Economics
History
Law
Performing-arts
Cooking
Logic & Reasoning
Trivia
Browse all subjects
Browse all tests
Most popular tests