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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. 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






2. Sum of the values






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






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






5. A numerical quantity measuring some aspect of the population






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






7. Sample size or number of trials






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






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






10. 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.






11. Range - standard deviation and variance.






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






13. 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






14. Members of the population select themselves by volunteering






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






16. 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






17. 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






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






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






20. Mean - mode - median and midrange.






21. Mu; population mean






22. Collection of information from a sample






23. Sample mean






24. 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).






25. 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






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






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






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






29. Population size






30. Sample standard deviation






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






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

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33. Information about individuals in a population






34. 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






35. Statistics






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






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






38. Probability of event A






39. Parameter






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






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






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






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






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






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






46. Null hypothesis






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






48. Population proportion






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






50. Type of bar graph that shows frequency distributions







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