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






2. One extreme value can affect it dramatically.






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






4. Test use normalcdf(ZTS -999)






5. Sample mean






6. Complement of p






7. Is a collection of several data pertaining to one or more variables






8. Parameter






9. The number of times each data value occurs






10. 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






11. Type II error is measured






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






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






14. 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






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






16. Lowercase sigma; population standard deviaition






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






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






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






20. 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






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






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






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






24. 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






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






26. Population proportion






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

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28. For a left tailed test use normalcdf(-999 - ZTS)






29. Sum of the values






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






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






32. 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






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






34. A numerical quantity measuring some aspect of the population






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






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






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






38. 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).






39. Members of the population select themselves by volunteering






40. 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






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






42. Mean - mode - median and midrange.






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






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






45. Sample proportion






46. 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






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






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






49. Population variance






50. _______________ are numerical measurements that can assume any value between two numbers