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






2. Graph involving pictures of objects in which the size of the object in which the size of the object in the picture represents the relative size of the quantity being represented by the object.






3. Type of bar graph that shows frequency distributions






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






5. Mu; population mean






6. Parameter






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






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






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






10. Statistics






11. Represents categories - and is nonnumerical in nature






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






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

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14. 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






15. Null hypothesis






16. Always use a equal symbol






17. 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






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






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






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






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






22. Population size






23. Lowercase sigma; population standard deviaition






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






25. 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






26. Type II error is measured






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






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






29. Sample standard deviation






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






31. Sample size or number of trials






32. Is a sample containing similar characteristics of the population






33. One extreme value can affect it dramatically.






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






35. Sample mean






36. 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).






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






38. 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






39. Population variance






40. Information about individuals in a population






41. Sample variance






42. A numerical quantity measuring some aspect of the population






43. (largest data value) - (smallest data value)






44. 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






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






46. Alternative hypothesis






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






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






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






50. The number of times each data value occurs







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