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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. Population variance






2. 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






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






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






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






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






7. 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






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






9. 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






10. A numerical quantity measuring some aspect of the population






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






12. 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






13. Sample variance






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






15. One extreme value can affect it dramatically.






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






17. 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).






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






19. Capital sigma; summation






20. 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






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






22. Complement of p






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






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






25. Type II error is measured






26. Collection of information from the whole population






27. 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






28. Mu; population mean






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






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






31. Alternative hypothesis






32. _______________ of a numerical variable represents the data values of the variable from the lowest to the highest value along with the number of times each data value occurs






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






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






35. Test use normalcdf(ZTS -999)






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






37. Members of the population select themselves by volunteering






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






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






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






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






42. Range - standard deviation and variance.






43. Occur when one of them affects the probability of the other.






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






45. Sample standard deviation






46. Lowercase sigma; population standard deviaition






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






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






49. Type of bar graph that shows frequency distributions






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

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Can you answer 50 questions in 15 minutes?



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