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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. Sample variance






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






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






4. The important aspects of the data are called?






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






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






7. 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






8. 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






9. 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






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






11. Members of the population select themselves by volunteering






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






13. Sample mean






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






15. Null hypothesis






16. Sum of the values






17. Sample size or number of trials






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






19. 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






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






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






22. Collection of information from a sample






23. A numerical quantity measuring some aspect of the population






24. Capital sigma; summation






25. Population variance






26. Standard scores and percentile






27. Range - standard deviation and variance.






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






29. Population proportion






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






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






32. Parameter






33. Mean - mode - median and midrange.






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






35. Variable where the value is a number that results from a measurement process - also called numerical data






36. 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






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






38. Population size






39. Lowercase sigma; population standard deviaition






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






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

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42. Information about individuals in a population






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






44. One extreme value can affect it dramatically.






45. Represents categories - and is nonnumerical in nature






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






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






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






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






50. Complement of p







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