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






2. Type II error is measured






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






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






5. Alternative hypothesis






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






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






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

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9. Sample variance






10. Sample size or number of trials






11. Lowercase sigma; population standard deviaition






12. Population variance






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






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






15. 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






16. Complement of p






17. Sample proportion






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






19. Represents categories - and is nonnumerical in nature






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






21. 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






22. Parameter






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






24. Is a sample containing similar characteristics of the population






25. Range - standard deviation and variance.






26. Null hypothesis






27. A method of data collection where the researcher selects a sample from the population and measures the variable of interest






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






29. The important aspects of the data are called?






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






31. 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






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






33. 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






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






35. Probability of event A






36. 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






37. Sum of the values






38. Mu; population mean






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






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






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






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






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






45. The number of times each data value occurs






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






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






48. Information about individuals in a population






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. 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