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






2. Alternative hypothesis






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






4. Standard scores and percentile






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






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






7. Null hypothesis






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






9. Mu; population mean






10. 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






11. 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).






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






13. 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






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






15. Collection of information from the whole population






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






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






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






19. Statistics






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






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






22. The number of times each data value occurs






23. When the distribution of the data values tend to be concentrated toward one end of the display or tail of the distribution - while the data values in the other tail are spread out through extreme values resulting in a longer tail






24. Sample standard deviation






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






26. Range - standard deviation and variance.






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






28. Members of the population select themselves by volunteering






29. 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






30. Population proportion






31. 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






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






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






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






35. 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






36. Parameter






37. Always use a equal symbol






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






39. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.






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






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






42. Sample mean






43. Is a sample containing similar characteristics of the population






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






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






46. Mean - mode - median and midrange.






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






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






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






50. Sum of the values