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






2. 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






3. One extreme value can affect it dramatically.






4. 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).






5. The number of times each data value occurs






6. Sample size or number of trials






7. Type of bar graph that shows frequency distributions






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






9. Collection of information from a sample






10. _______________ 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






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






12. Population variance






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






14. Information about individuals in a population






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






16. Complement of p






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






18. 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






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






20. Represents categories - and is nonnumerical in nature






21. Sample proportion






22. 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






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






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






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






26. Population size






27. 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






28. Sum of the values






29. 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






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






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






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






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






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






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






36. 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






37. 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






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






39. Mu; population mean






40. A numerical quantity measuring some aspect of the population






41. Sample mean






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






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






44. Always use a equal symbol






45. Is a sample containing similar characteristics of the population






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






47. Probability of event A






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






49. When the distribution of the data values greater than the center of the display - and the data values less than the center of the display are mirror images of each other






50. Standard scores and percentile