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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. Mean - mode - median and midrange.






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






4. Square the standard deviation and to find the population variance square of the population standard deviation






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






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






7. Capital sigma; summation






8. Population proportion






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






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. Standard scores and percentile






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






13. Lowercase sigma; population standard deviaition






14. 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






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






16. Is a sample containing similar characteristics of the population






17. One extreme value can affect it dramatically.






18. 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).






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






20. _______________ of a numerical variable represents the data values of the variable from the lowest to the highest value along with the number of times each data value occurs






21. Mu; population mean






22. 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






23. Sample mean






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






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






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






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






28. Type of bar graph that shows frequency distributions






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






30. Population size






31. Parameter






32. 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






33. Sample proportion






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






35. Sample standard deviation






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






37. Type II error is measured






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






39. Sample size or number of trials






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






41. Complement of p






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






43. 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






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






45. The important aspects of the data are called?






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






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






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






49. 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






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







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