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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. Parameter






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






3. 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






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






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






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






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






8. Type II error is measured






9. Population size






10. A numerical quantity measuring some aspect of the population






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






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






14. Always use a equal symbol






15. Collection of information from the whole population






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






17. 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






18. 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).






19. Sum of the values






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






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






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






23. 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






24. Range - standard deviation and variance.






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






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






27. Lowercase sigma; population standard deviaition






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






29. Population proportion






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






31. Occur when one does not affect the probability of the occurrence of the other.






32. Sample size or number of trials






33. Is a collection of several data pertaining to one or more variables






34. Information about individuals in a population






35. Complement of p






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






37. Is denoted by 'n' - is the number of data values in the sample






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






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






40. 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






41. Sample proportion






42. 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






43. The important aspects of the data are called?






44. _______________ 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






45. Standard scores and percentile






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






47. 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






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






49. 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






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







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