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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. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively






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. Population size






4. Lowercase sigma; population standard deviaition






5. 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






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






7. Mu; population mean






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






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






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






11. 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






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






14. Parameter






15. 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.






16. Range - standard deviation and variance.






17. One extreme value can affect it dramatically.






18. 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






19. Type of bar graph that shows frequency distributions






20. Sample mean






21. Population proportion






22. Sample variance






23. 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






24. _______________ 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






25. 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).






26. Sample size or number of trials






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






28. Population variance






29. Information about individuals in a population






30. Null hypothesis






31. Collection of information from the whole population






32. Collection of information from a sample






33. Statistics






34. Mean - mode - median and midrange.






35. 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






36. Complement of p






37. The number of times each data value occurs






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






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






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






41. 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






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






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






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






45. 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






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






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






49. 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






50. Represents categories - and is nonnumerical in nature







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