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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. 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






2. 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






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






4. Probability of event A






5. Represents categories - and is nonnumerical in nature






6. _______________ 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






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






8. Null hypothesis






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






10. Test use normalcdf(ZTS -999)






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






12. Sample variance






13. The number of times each data value occurs






14. 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






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






16. Standard scores and percentile






17. One extreme value can affect it dramatically.






18. 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.






19. Sum of the values






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






21. Population size






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






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






24. Always use a equal symbol






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






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






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






28. Population variance






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






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






31. 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






32. The important aspects of the data are called?






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






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






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






36. A numerical quantity measuring some aspect of the population






37. Complement of p






38. 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






39. Sample proportion






40. 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






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






42. Type of bar graph that shows frequency distributions






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






44. Collection of information from the whole population






45. Mean - mode - median and midrange.






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. Is a number that describes a characteristic of a sample

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48. Statistics






49. Lowercase sigma; population standard deviaition






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






Can you answer 50 questions in 15 minutes?



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