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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. 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






2. 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






3. A method in which each combination of people has an equal chance of being selected- the sample is representative of the population and is independent






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






5. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).






6. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION






7. Sample standard deviation






8. 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






9. 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






10. Parameter






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






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






13. Create a sample by using data from population members that are readily available






14. Lowercase sigma; population standard deviaition






15. Alternative hypothesis






16. Sample size or number of trials






17. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded






18. Members of the population select themselves by volunteering






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






20. 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






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






22. 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






23. Probability of event A






24. Statistics






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






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






27. Is a sample containing similar characteristics of the population






28. Always use a equal symbol






29. Sample mean






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






31. Sample variance






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






33. The important aspects of the data are called?






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






35. Collection of information from the whole population






36. 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






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






38. Mu; population mean






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






40. Information about individuals in a population






41. Range - standard deviation and variance.






42. Population variance






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






44. Represents categories - and is nonnumerical in nature






45. Mean - mode - median and midrange.






46. Test use normalcdf(ZTS -999)






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






48. Is the process of selecting a portion - or sample - of the entire population






49. 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).






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