Test your basic knowledge |

CLEP General Mathematics: Probability And Statistics

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. Many statistical methods seek to minimize the mean-squared error - and these are called






2. 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






3. 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






4. Consists of a number of independent trials repeated under identical conditions. On each trial - there are two possible outcomes.






5. Ratio and interval measurements which can be either discrete or continuous - due to their numerical nature are grouped together as






6. 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).






7. 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






8. Where the null hypothesis fails to be rejected and an actual difference between populations is missed giving a 'false negative'.






9. Probability of accepting a false null hypothesis.






10. Are usually written in upper case roman letters: X - Y - etc.






11. (or multivariate random variable) is a vector whose components are random variables on the same probability space.






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






13. 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






14. A measurement such that the random error is small






15. 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.






16. Is the probability distribution - under repeated sampling of the population - of a given statistic.






17. Gives the probability of events in a probability space.






18. Given two random variables X and Y - the joint distribution of X and Y is the probability distribution of X and Y together.






19. Is the most commonly used measure of statistical dispersion. It is the square root of the variance - and is generally written s (sigma).






20. Is the length of the smallest interval which contains all the data.






21. Are simply two different terms for the same thing. Add the given values






22. 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






23. A group of individuals sharing some common features that might affect the treatment.






24. 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.






25. Statistical methods can be used for summarizing or describing a collection of data; this is called






26. 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






27. A subjective estimate of probability.






28. Is a sample and the associated data points.






29. The proportion of the explained variation by a linear regression model in the total variation.






30. ?






31. 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.






32. Some commonly used symbols for sample statistics






33. Are usually written with upper case calligraphic (e.g. F for the set of sets on which we define the probability P)






34. Occurs when a subject receives no treatment - but (incorrectly) believes he or she is in fact receiving treatment and responds favorably.






35. Descriptive statistics and inferential statistics (a.k.a. - predictive statistics) together comprise






36. The collection of all possible outcomes in an experiment.






37. Probability of rejecting a true null hypothesis.






38. 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.






39. A data value that falls outside the overall pattern of the graph.






40. 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.






41. Is data arising from counting that can take only non-negative integer values.






42. The objects described by a set of data: person (animal) - place - and - thing. (SUBJECTS)






43. Is the probability of some event A - assuming event B. Conditional probability is written P(A|B) - and is read 'the probability of A - given B'






44. 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


45. A variable that has an important effect on the response variable and the relationship among the variables in a study but is not one of the explanatory variables studied either because it is unknown or not measured.






46. A variable has a value or numerical measurement for which operations such as addition or averaging make sense.






47. 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.






48. Var[X] :






49. Is a sample space over which a probability measure has been defined.






50. Another name for elementary event.







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

Browse all subjects

Browse all tests

Most popular tests