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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. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.






2. Population variance






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






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






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






6. Sum of the values






7. Mu; population mean






8. Is a sample containing similar characteristics of the population






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






10. Parameter






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






12. A visual exploratory data analysis technique that shows the shape of a distribution - this kind of display uses the actual values of the variable to present the shape of the distribution of data values






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






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






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






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






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






18. Statistics






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






20. Sample mean






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






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






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






24. 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






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






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






27. Sample size or number of trials






28. The important aspects of the data are called?






29. Type II error is measured






30. Complement of p






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






32. Test use normalcdf(ZTS -999)






33. Members of the population select themselves by volunteering






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






35. The number of times each data value occurs






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






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






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






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






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






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






42. Sample variance






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






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






45. Null hypothesis






46. Information about individuals in a population






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






48. 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






49. _______________ 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






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