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






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






3. Standard scores and percentile






4. Population size






5. Population proportion






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






7. Null hypothesis






8. One extreme value can affect it dramatically.






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






10. 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






11. Range - standard deviation and variance.






12. Information about individuals in a population






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






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






15. Represents categories - and is nonnumerical in nature






16. Test use normalcdf(ZTS -999)






17. Alternative hypothesis






18. Always use a equal symbol






19. Is a sample containing similar characteristics of the population






20. The important aspects of the data are called?






21. Sample proportion






22. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded






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






24. Collection of information from a sample






25. 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






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






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






28. _______________ 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






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






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






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






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






33. 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






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






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






36. Population variance






37. Sample variance






38. 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






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






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






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






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






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






44. Sum of the values






45. Mean - mode - median and midrange.






46. 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






47. Type II error is measured






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






49. Lowercase sigma; population standard deviaition






50. Sample size or number of trials