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






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






3. 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.






4. Lowercase sigma; population standard deviaition






5. 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






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






7. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION






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






9. Collection of information from a sample






10. Sample standard deviation






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






12. Statistics






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






14. Mu; population mean






15. Sample size or number of trials






16. Null hypothesis






17. Is a sample containing similar characteristics of the population






18. The important aspects of the data are called?






19. Sample mean






20. 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






21. Is denoted by 'n' - is the number of data values in the sample






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






23. Complement of p






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






25. Represents categories - and is nonnumerical in nature






26. Population proportion






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






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






29. Population size






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






31. Type II error is measured






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






33. Type of bar graph that shows frequency distributions






34. Middle value of a set of data values after they've been arranged in numerical order - 1. First arrange data values in numerical order 2. For odd # of data values - the median is the middle data value 3. For even # of data values - the median is the m






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






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






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






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






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






40. Mean - mode - median and midrange.






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






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






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






44. 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






45. Standard scores and percentile






46. Alternative hypothesis






47. Test use normalcdf(ZTS -999)






48. Sum of the values






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






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