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






2. Mu; population mean






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






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






5. The number of times each data value occurs






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






7. The important aspects of the data are called?






8. Sample standard deviation






9. A numerical quantity measuring some aspect of the population






10. Test use normalcdf(ZTS -999)






11. Sample proportion






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






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. Collection of information from a sample






15. Range - standard deviation and variance.






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






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






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






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






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






21. One extreme value can affect it dramatically.






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






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






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






25. Population size






26. Alternative hypothesis






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






28. 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






29. Middle value of a set of data values after they've been arranged in numerical order - 1. First arrange data values in numerical order 2. For odd # of data values - the median is the middle data value 3. For even # of data values - the median is the m






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






31. Lowercase sigma; population standard deviaition






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






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






34. 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






35. _______________ 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






36. Sum of the values






37. Represents categories - and is nonnumerical in nature






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






39. 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






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






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






42. 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






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






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






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






46. 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






47. 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






48. Complement of p






49. Type II error is measured






50. Sample size or number of trials