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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. Always use a equal symbol






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






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






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






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






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






7. Null hypothesis






8. Collection of information from a sample






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






10. Probability of event A






11. Represents categories - and is nonnumerical in nature






12. Sample size or number of trials






13. 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






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






15. Statistics






16. Mean - mode - median and midrange.






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






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






19. A numerical quantity measuring some aspect of the population






20. 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






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






22. Standard scores and percentile






23. Population size






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






25. 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






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






27. Population proportion






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






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






30. Parameter






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






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






33. Range - standard deviation and variance.






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






35. Alternative hypothesis






36. 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






37. The number of times each data value occurs






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






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






40. 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






41. Sum of the values






42. 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






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






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






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






46. Sample proportion






47. One extreme value can affect it dramatically.






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. 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






50. Type of bar graph that shows frequency distributions







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Can you answer 50 questions in 15 minutes?


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