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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. The number of times each data value occurs






2. Sample standard deviation






3. Always use a equal symbol






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






5. 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






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






7. Collection of information from a sample






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






9. Population size






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






11. The important aspects of the data are called?






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






13. Null hypothesis






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






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






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






17. Mean - mode - median and midrange.






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






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






20. Test use normalcdf(ZTS -999)






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






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






23. 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






24. 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






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






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






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






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






29. 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






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






31. Is a sample containing similar characteristics of the population






32. Probability of event A






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






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






35. One extreme value can affect it dramatically.






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






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






38. Sample variance






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






40. Parameter






41. Collection of information from the whole population






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

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43. 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






44. Mu; population mean






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






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






47. 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






48. Complement of p






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






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







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Can you answer 50 questions in 15 minutes?


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