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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. Is a sample of data values selected from a population in such a way that every sample of size 'n' has an equal probability of being selected and every data value of the population has the same chance of being selected for the sample






2. The important aspects of the data are called?






3. Mu; population mean






4. Statistics






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






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






7. The number of times each data value occurs






8. Sample size or number of trials






9. 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






10. 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






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






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






13. Sample standard deviation






14. 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






15. Sample proportion






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






17. Always use a equal symbol






18. Is the entire collection of all individuals or objects of interest






19. Standard scores and percentile






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






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






22. 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






23. (largest data value) - (smallest data value)






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






25. Type II error is measured






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






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

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






29. A numerical quantity measuring some aspect of the population






30. Collection of information from a sample






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






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






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






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






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






36. Parameter






37. 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






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






39. 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






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






41. Population size






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






43. Sum of the values






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






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






46. Collection of information from the whole population






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






48. Population proportion






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






50. 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.