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






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






3. 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






4. Population size






5. Collection of information from the whole population






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






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






8. Complement of p






9. 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






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


11. Alternative hypothesis






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






13. 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






14. Mu; population mean






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






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






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






18. Is a sample containing similar characteristics of the population






19. Probability of event A






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






21. Always use a equal symbol






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






23. 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






24. Type of bar graph that shows frequency distributions






25. Sample proportion






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






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






28. A numerical quantity measuring some aspect of the population






29. 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






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






31. Sample mean






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






33. 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






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






35. The important aspects of the data are called?






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






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






38. Sum of the values






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






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






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






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






43. Collection of information from a sample






44. The number of times each data value occurs






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






46. 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






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






48. Members of the population select themselves by volunteering






49. Sample variance






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