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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 numerical quantity measuring some aspect of the population






2. 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






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






4. Population variance






5. Test use normalcdf(ZTS -999)






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






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






8. Members of the population select themselves by volunteering






9. Null hypothesis






10. Level of measurement- involves data that consist of names - labels and categories only. The data cannot be arranged in an ordering scheme (such as low to high). (Example) Nationalities of survey respondents






11. Parameter






12. Is a sample containing similar characteristics of the population






13. 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






14. The important aspects of the data are called?






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






16. 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






17. Sample proportion






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






19. Mu; population mean






20. One extreme value can affect it dramatically.






21. 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






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






23. 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).






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






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






26. Mean - mode - median and midrange.






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






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






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






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






31. Sample size or number of trials






32. Always use a equal symbol






33. Collection of information from a sample






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






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






36. Type of bar graph that shows frequency distributions






37. 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






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






39. Population proportion






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






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






42. Probability of event A






43. Represents categories - and is nonnumerical in nature






44. 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






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






46. 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






47. 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






48. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc






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






50. Population size