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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 proportion






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






3. Range - standard deviation and variance.






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






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






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






7. Sample standard deviation






8. 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






9. 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






10. 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






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






12. Mean - mode - median and midrange.






13. Always use a equal symbol






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






15. 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






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






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






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

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






20. Alternative hypothesis






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






22. Test use normalcdf(ZTS -999)






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






24. Sample size or number of trials






25. _______________ 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






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






27. 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






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






29. The important aspects of the data are called?






30. Statistics






31. Null hypothesis






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






33. Sum of the values






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






35. Population variance






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






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






38. 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






39. Data values that are either much larger or much smaller than the general body of data- they should be included in an analysis unless they are the result of human or other error






40. Capital sigma; summation






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






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






43. 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






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






45. Is denoted by 'N' - is the number of data values in the population






46. Complement of p






47. Population size






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






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






50. Standard scores and percentile