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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. Statistics






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






3. 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






4. 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.






5. Sample variance






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






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






8. Information about individuals in a population






9. Range - standard deviation and variance.






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






11. Standard scores and percentile






12. Represents categories - and is nonnumerical in nature






13. Test use normalcdf(ZTS -999)






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






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






16. 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






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






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






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






20. Type II error is measured






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






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






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






24. Probability of event A






25. Parameter






26. Capital sigma; summation






27. 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






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






29. Population variance






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






31. Sample proportion






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






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






34. Lowercase sigma; population standard deviaition






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






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

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






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






39. Type of bar graph that shows frequency distributions






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






41. 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






42. Alternative hypothesis






43. Mu; population mean






44. 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).






45. Level of measurement- involves data that consist of names - labels and categories only. The data cannot be arranged in an ordering scheme (such as low to high). (Example) Nationalities of survey respondents






46. Involves the procedures associated with the data collection process - the summarizing and interpretation of data - and the drawing of inferences or conclusions based on the analysis of the data






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






48. A numerical quantity measuring some aspect of the population






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






50. Sample standard deviation