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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. 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






2. Standard scores and percentile






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






4. Variable where the value is a number that results from a measurement process - also called numerical data






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






6. 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






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






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






9. Sample proportion






10. Population proportion






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






12. 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).






13. Capital sigma; summation






14. 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






15. 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






16. Mu; population mean






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






18. Sample mean






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






20. Mean - mode - median and midrange.






21. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded






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






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






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






25. Complement of p






26. 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






27. Alternative hypothesis






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






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






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






31. Collection of information from a sample






32. Sample standard deviation






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






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






35. Information about individuals in a population






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






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

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38. Range - standard deviation and variance.






39. Represents categories - and is nonnumerical in nature






40. The number of times each data value occurs






41. Null hypothesis






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






43. Always use a equal symbol






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






45. 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






46. Sample size or number of trials






47. Test use normalcdf(ZTS -999)






48. Probability of event A






49. 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






50. Is the process of selecting a portion - or sample - of the entire population