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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. Statistics






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






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






4. 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






5. 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






6. Population proportion






7. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively






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






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






10. Alternative hypothesis






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






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






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






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






15. Mu; population mean






16. 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






17. Population variance






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






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






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






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






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






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






24. The number of times each data value occurs






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






26. Information about individuals in a population






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






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






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






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






31. Sample variance






32. 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.






33. Collection of information from the whole population






34. 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






35. Standard scores and percentile






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






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






38. 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






39. 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






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






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






42. 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






43. Lowercase sigma; population standard deviaition






44. Null hypothesis






45. 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






46. 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






47. Sample proportion






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






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






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