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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. 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






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






3. Population size






4. 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






5. 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






6. 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).






7. Always use a equal symbol






8. A survey that includes every item or individual of the population






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






10. Collection of information from a sample






11. Type of bar graph that shows frequency distributions






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






13. Sample variance






14. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable






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






16. Null hypothesis






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






18. Probability of event A






19. Sample proportion






20. Mu; population mean






21. Is a sample containing similar characteristics of the population






22. One extreme value can affect it dramatically.






23. Alternative hypothesis






24. 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






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






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






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






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






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






30. Lowercase sigma; population standard deviaition






31. Range - standard deviation and variance.






32. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element






33. Type II error is measured






34. Parameter






35. Standard scores and percentile






36. A method of data collection where the researcher selects a sample from the population and measures the variable of interest






37. Mean - mode - median and midrange.






38. (largest data value) - (smallest data value)






39. Population proportion






40. 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






41. Sample mean






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






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






44. When the distribution of the data values greater than the center of the display - and the data values less than the center of the display are mirror images of each other






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






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






47. Middle value of a set of data values after they've been arranged in numerical order - 1. First arrange data values in numerical order 2. For odd # of data values - the median is the middle data value 3. For even # of data values - the median is the m






48. Square the standard deviation and to find the population variance square of the population standard deviation






49. Complement of p






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