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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. Population proportion






2. A numerical quantity measuring some aspect of the population






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






4. Standard scores and percentile






5. Range - standard deviation and variance.






6. Collection of information from a sample






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






8. Population size






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






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






11. Represents categories - and is nonnumerical in nature






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






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






14. 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






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






16. The important aspects of the data are called?






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






18. 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






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






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






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






22. Capital sigma; summation






23. 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






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






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






26. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc






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






28. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.






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






30. Parameter






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






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






33. 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






34. Sample mean






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






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






37. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population






38. Mean - mode - median and midrange.






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






40. Sample proportion






41. Collection of information from the whole population






42. Always use a equal symbol






43. 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






44. Is a sample containing similar characteristics of the population






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






46. Members of the population select themselves by volunteering






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






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






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






50. 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







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