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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 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






2. Standard scores and percentile






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






4. 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.






5. Complement of p






6. Sample proportion






7. Represents categories - and is nonnumerical in nature






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






9. Population size






10. Occur when one does not affect the probability of the occurrence of the other.






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






12. 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






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






14. _______________ 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






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






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






17. Statistics






18. 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






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






20. Sample size or number of trials






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






22. Collection of information from the whole population






23. Parameter






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






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






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






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






28. A numerical quantity measuring some aspect of the population






29. Collection of information from a sample






30. Type II error is measured






31. 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






32. 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






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






34. The important aspects of the data are called?






35. Sum of the values






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






37. Null hypothesis






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






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






40. Lowercase sigma; population standard deviaition






41. Members of the population select themselves by volunteering






42. Is a sample containing similar characteristics of the population






43. 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






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






45. One extreme value can affect it dramatically.






46. 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






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. Always use a equal symbol






49. Population proportion






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