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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. Mean - mode - median and midrange.






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






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






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






5. Sample mean






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






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






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






9. 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






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






11. 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






12. Null hypothesis






13. Collection of information from the whole population






14. Members of the population select themselves by volunteering






15. Alternative hypothesis






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






17. Probability of event A






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






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






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






21. Test use normalcdf(ZTS -999)






22. 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






23. 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






24. 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






25. Capital sigma; summation






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






27. 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






28. Statistics






29. The variable value can be represented as isolated points on a number line






30. Sample standard deviation






31. Collection of information from a sample






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






33. Sample size or number of trials






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






35. 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






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. 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






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






39. Population size






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






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






42. Type of bar graph that shows frequency distributions






43. Standard scores and percentile






44. 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






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






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






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

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48. Information about individuals in a population






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






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