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. 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.
Confounded variables
Probability density
A Distribution function
A probability space
2. Working from a null hypothesis two basic forms of error are recognized:
Reliable measure
Type I errors & Type II errors
Beta value
quantitative variables
3. Describes a characteristic of an individual to be measured or observed.
descriptive statistics
Null hypothesis
Statistics
Variable
4. ?r
Descriptive statistics
the population cumulants
A statistic
An Elementary event
5. Any specific experimental condition applied to the subjects
applied statistics
Sample space
Statistical dispersion
Treatment
6. 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
7. Can be a population parameter - a distribution parameter - an unobserved parameter (with different shades of meaning). In statistics - this is often a quantity to be estimated.
Warning
: Invalid argument supplied for foreach() in
/var/www/html/basicversity.com/show_quiz.php
on line
183
8. Used to reduce bias - this measure weights the more relevant information higher than less relevant info.
Divide the sum by the number of values.
The Expected value
Statistical adjustment
Cumulative distribution functions
9. Some commonly used symbols for population parameters
Conditional distribution
Type II errors
the population mean
An Elementary event
10. (pdfs) and probability mass functions are denoted by lower case letters - e.g. f(x).
Independence or Statistical independence
the population mean
Probability density functions
Posterior probability
11. The objects described by a set of data: person (animal) - place - and - thing. (SUBJECTS)
Experimental and observational studies
Atomic event
Individual
Outlier
12. 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
Atomic event
Law of Parsimony
Divide the sum by the number of values.
Skewness
13. Of a group of numbers is the center point of all those number values.
the sample or population mean
Treatment
nominal - ordinal - interval - and ratio
The average - or arithmetic mean
14. Gives the probability of events in a probability space.
quantitative variables
applied statistics
A sampling distribution
A Probability measure
15. 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
A data set
Divide the sum by the number of values.
The Range
16. Var[X] :
A probability distribution
variance of X
Outlier
categorical variables
17. Is a typed measurement - it can be a boolean value - a real number - a vector (in which case it's also called a data vector) - etc.
Nominal measurements
The average - or arithmetic mean
A data point
Joint distribution
18. A list of individuals from which the sample is actually selected.
Correlation coefficient
Sampling frame
Sampling Distribution
Correlation
19. 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.
Joint probability
That value is the median value
A statistic
A Probability measure
20. In Bayesian inference - this represents prior beliefs or other information that is available before new data or observations are taken into account.
Independent Selection
Prior probability
The standard deviation
Qualitative variable
21. (e.g. ? - b) are commonly used to denote unknown parameters (population parameters).
Greek letters
methods of least squares
Random variables
The average - or arithmetic mean
22. Are usually written with upper case calligraphic (e.g. F for the set of sets on which we define the probability P)
Confounded variables
The Expected value
A sampling distribution
s-algebras
23. Two variables such that their effects on the response variable cannot be distinguished from each other.
categorical variables
Kurtosis
Confounded variables
Step 3 of a statistical experiment
24. Rejecting a true null hypothesis.
Experimental and observational studies
Type 1 Error
Confounded variables
Outlier
25. In particular - the pdf of the standard normal distribution is denoted by
Conditional probability
Residuals
Joint probability
f(z) - and its cdf by F(z).
26. Error also refers to the extent to which individual observations in a sample differ from a central value - such as
Experimental and observational studies
Residuals
the sample or population mean
Statistical adjustment
27. 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.
Greek letters
Seasonal effect
Atomic event
Kurtosis
28. Interpretation of statistical information in that the assumption is that whatever is proposed as a cause has no effect on the variable being measured can often involve the development of a
Independent Selection
Null hypothesis
observational study
Residuals
29. Is a parameter that indexes a family of probability distributions.
A Statistical parameter
Bias
The Mean of a random variable
The standard deviation
30. Is a measure of its statistical dispersion - indicating how far from the expected value its values typically are. The variance of random variable X is typically designated as - - or simply s2.
The variance of a random variable
Simulation
Law of Parsimony
Greek letters
31. Is defined as the expected value of random variable (X -
The Covariance between two random variables X and Y - with expected values E(X) =
Dependent Selection
Observational study
Statistical inference
32. 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.
Observational study
Type 2 Error
A random variable
Skewness
33. Given two random variables X and Y - the joint distribution of X and Y is the probability distribution of X and Y together.
Statistical dispersion
Joint distribution
A sample
Greek letters
34. 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 data set
Coefficient of determination
Statistics
Residuals
35. Is a sample and the associated data points.
A data set
expected value of X
Statistic
An event
36. 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.
Parameter - or 'statistical parameter'
Count data
Conditional distribution
The Range
37. Some commonly used symbols for sample statistics
nominal - ordinal - interval - and ratio
the sample mean - the sample variance s2 - the sample correlation coefficient r - the sample cumulants kr.
Average and arithmetic mean
Coefficient of determination
38. The probability of correctly detecting a false null hypothesis.
Power of a test
hypotheses
The average - or arithmetic mean
Descriptive
39. Long-term upward or downward movement over time.
The standard deviation
descriptive statistics
Probability
Trend
40. 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
hypothesis
Outlier
Null hypothesis
Kurtosis
41. 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.
Statistical inference
Nominal measurements
observational study
Coefficient of determination
42. 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
Independence or Statistical independence
A sampling distribution
categorical variables
A probability distribution
43. Involves taking measurements of the system under study - manipulating the system - and then taking additional measurements using the same procedure to determine if the manipulation has modified the values of the measurements.
Standard error
Placebo effect
A Probability measure
An experimental study
44. Have no meaningful rank order among values.
Bias
the population variance
Nominal measurements
Step 1 of a statistical experiment
45. 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.
Dependent Selection
A Statistical parameter
A probability distribution
Individual
46. 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).
Independence or Statistical independence
Coefficient of determination
Quantitative variable
Joint probability
47. 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
Valid measure
A probability density function
Inferential statistics
Likert scale
48. E[X] :
the sample or population mean
Descriptive statistics
expected value of X
Bias
49. Ratio and interval measurements which can be either discrete or continuous - due to their numerical nature are grouped together as
Sample space
Mutual independence
Valid measure
quantitative variables
50. Where the null hypothesis is falsely rejected giving a 'false positive'.
A Distribution function
Alpha value (Level of Significance)
Type I errors
A Statistical parameter
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