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DSST Intro To Statistics

Subjects : dsst, statistics
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. Mean - mode - median and midrange.






2. To divide the population into 2 or more non-overlapping subsets called strata






3. Is a number that describes a characteristic of a population






4. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.






5. Before they are arranged or analyzed - information or observations are called________.






6. Is the entire collection of all individuals or objects of interest






7. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.






8. Involves the procedures associated with the data collection process - the summarizing and interpretation of data - and the drawing of inferences or conclusions based on the analysis of the data






9. Range - standard deviation and variance.






10. To find the range subtract the lowest value by the highest value.






11. Occur when one of them affects the probability of the other.






12. Test use normalcdf(ZTS -999)






13. A numerical quantity measuring some aspect of the population






14. Data values that are either much larger or much smaller than the general body of data- they should be included in an analysis unless they are the result of human or other error






15. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population






16. Sample variance






17. Type of information - usually a property of characteristic of a person or thing that is measured or observed






18. Is a sample containing similar characteristics of the population






19. Is denoted by 'n' - is the number of data values in the sample






20. A sample which is selected in such a manner - that each data value of the population has a non-zero probability of being selected for the sample






21. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.






22. Members of the population select themselves by volunteering






23. Statistics






24. Standard scores and percentile






25. Can be used to get an initial graphical view of data






26. Population size






27. Type of bar graph that shows frequency distributions






28. Is the portion of the population that is selected for study






29. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample






30. Occur when one does not affect the probability of the occurrence of the other.






31. Always use a equal symbol






32. Complement of p






33. A collection of individuals about which we want to draw conclusions






34. Variable where the value is a number that results from a measurement process - also called numerical data






35. Lowercase sigma; population standard deviaition






36. Alternative hypothesis






37. Population proportion






38. A subset of the population- it's important to choose a sample at random to avoid bias in the results






39. Using graphs and numerical summaries to describe variables in a data set and their relationship






40. Level of measurement- Is the interval level modified to include the inherent zero starting point (where zero indicates that none of the quantity is present). For values at this level - differences and ratios are both meaningful. (Example) Ages of sur






41. Probability of event A






42. An individual data value which lies far (above or below) from most or all of the other data values within a distribution






43. Is a sample of data values selected from a population in such a way that every sample of size 'n' has an equal probability of being selected and every data value of the population has the same chance of being selected for the sample






44. Determine the location of the middle value of all the data values






45. Is a number that describes a characteristic of a sample

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46. Collection of information from the whole population






47. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies






48. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).






49. Mu; population mean






50. Is denoted by 'N' - is the number of data values in the population