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






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






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






4. Sample mean






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






6. 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






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






8. Parameter






9. Information about individuals in a population






10. Population size






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






12. 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






13. Null hypothesis






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






15. The number of times each data value occurs






16. Standard scores and percentile






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






18. The important aspects of the data are called?






19. 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






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






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






22. 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).






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. 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






25. A numerical quantity measuring some aspect of the population






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






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






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






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






30. Capital sigma; summation






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






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






33. Mean - mode - median and midrange.






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






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






36. Statistics






37. Sample proportion






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






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






40. Type of bar graph that shows frequency distributions






41. Sample variance






42. Lowercase sigma; population standard deviaition






43. Complement of p






44. Before they are arranged or analyzed - information or observations are called________.






45. Alternative hypothesis






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






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






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






49. Test use normalcdf(ZTS -999)






50. One extreme value can affect it dramatically.