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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 number that describes a characteristic of a sample

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2. Is a sample containing similar characteristics of the population






3. 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






4. Type of bar graph that shows frequency distributions






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






6. Type II error is measured






7. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies






8. Lowercase sigma; population standard deviaition






9. 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






10. Standard scores and percentile






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






12. 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






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






14. Population proportion






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






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






17. Test use normalcdf(ZTS -999)






18. Capital sigma; summation






19. 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






20. Parameter






21. Sample proportion






22. Range - standard deviation and variance.






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






24. One extreme value can affect it dramatically.






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






26. Members of the population select themselves by volunteering






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






28. Population size






29. Is the portion of the population that is selected for study






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






31. Sample size or number of trials






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






33. 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






34. Alternative hypothesis






35. 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






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






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






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






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






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






42. Mu; population mean






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






44. Sample variance






45. Represents categories - and is nonnumerical in nature






46. Collection of information from a sample






47. Sample mean






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






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






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