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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. Mu; population mean






2. A numerical quantity measuring some aspect of the population






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






4. Standard scores and percentile






5. The important aspects of the data are called?






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






7. 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






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






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






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






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






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






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






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






15. Population variance






16. 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






17. 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






18. Information about individuals in a population






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






20. Always use a equal symbol






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






22. Sum of the values






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






24. 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






25. Sample size or number of trials






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






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






28. Collection of information from the whole population






29. Is a sample containing similar characteristics of the population






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






31. 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






32. 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






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






34. 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).






35. Sample mean






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






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


38. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies






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






40. Statistics






41. Sample proportion






42. Complement of p






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






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






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






46. 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






47. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc






48. 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






49. 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.






50. 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