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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. 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.






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






3. Sample mean






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






5. Always use a equal symbol






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






7. 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






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






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






10. Alternative hypothesis






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






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






13. Population proportion






14. Sample standard deviation






15. 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






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






17. Capital sigma; summation






18. The number of times each data value occurs






19. Mean - mode - median and midrange.






20. Complement of p






21. The important aspects of the data are called?






22. 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






23. Sample size or number of trials






24. 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






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. Population variance






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






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






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






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






31. Probability of event A






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






33. Occur when one does not affect the probability of the occurrence of the other.






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






35. Parameter






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






37. Type of bar graph that shows frequency distributions






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






39. Lowercase sigma; population standard deviaition






40. Mu; population mean






41. Standard scores and percentile






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






43. Null hypothesis






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






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






46. Test use normalcdf(ZTS -999)






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






48. 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).






49. Statistics






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