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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. Standard scores and percentile






2. Alternative hypothesis






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






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






5. Sum of the values






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






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






8. Probability of event A






9. 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






10. The number of times each data value occurs






11. Parameter






12. Type of bar graph that shows frequency distributions






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






14. 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






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






16. Is a collection of several data pertaining to one or more variables






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






18. Sample size or number of trials






19. Sample standard deviation






20. Lowercase sigma; population standard deviaition






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






22. _______________ are numerical values that can assume only a limited number of values






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






24. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population






25. 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






26. Test use normalcdf(ZTS -999)






27. 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).






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






29. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively






30. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.






31. Sample proportion






32. Capital sigma; summation






33. _______________ are numerical measurements that can assume any value between two numbers






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






35. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter






36. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner






37. Sample variance






38. When the distribution of the data values tend to be concentrated toward one end of the display or tail of the distribution - while the data values in the other tail are spread out through extreme values resulting in a longer tail






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






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






41. Information about individuals in a population






42. Is a sample containing similar characteristics of the population






43. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed






44. Level of measurement- Involves data that may be arranged in some order - but differences between data values either cannot be determined or are meaningless. (Example) Questions on a survey are scored with integers 1 thru 5 with 1 representing strong






45. A visual exploratory data analysis technique that shows the shape of a distribution - this kind of display uses the actual values of the variable to present the shape of the distribution of data values






46. A numerical quantity measuring some aspect of the population






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

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48. Mu; population mean






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






50. Complement of p