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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. Test use normalcdf(ZTS -999)






2. 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






3. Null hypothesis






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






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






6. A numerical quantity measuring some aspect of the population






7. Sample size or number of trials






8. 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






9. Statistics






10. Population variance






11. 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






12. 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






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






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






15. Involves the procedures associated with the data collection process - the summarizing and interpretation of data - and the drawing of inferences or conclusions based on the analysis of the data






16. Sample variance






17. Members of the population select themselves by volunteering






18. Population size






19. 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






20. Population proportion






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






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






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






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






25. Lowercase sigma; population standard deviaition






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






27. 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






28. Information about individuals in a population






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






30. Type II error is measured






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






32. Parameter






33. Sample proportion






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






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






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






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






38. 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






39. Is a sample containing similar characteristics of the population






40. One extreme value can affect it dramatically.






41. Collection of information from a sample






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






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






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






45. Capital sigma; summation






46. Represents categories - and is nonnumerical in nature






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






48. Range - standard deviation and variance.






49. 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






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