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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. Members of the population select themselves by volunteering






2. 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






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






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






5. 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






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






7. 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






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






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






10. 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






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






12. Information about individuals in a population






13. Complement of p






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






15. One extreme value can affect it dramatically.






16. Sample standard deviation






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






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






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






20. Test use normalcdf(ZTS -999)






21. Collection of information from a sample






22. 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






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

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






25. 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






26. Mu; population mean






27. Capital sigma; summation






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






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






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






31. Sum of the values






32. Sample mean






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






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






35. Population variance






36. Standard scores and percentile






37. Is a sample containing similar characteristics of the population






38. Sample proportion






39. Range - standard deviation and variance.






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






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






42. 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).






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






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






45. Population proportion






46. Sample variance






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






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






49. The number of times each data value occurs






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







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