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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. Sample variance






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






3. Alternative hypothesis






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






5. Sample size or number of trials






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






7. 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






8. 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






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






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






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






12. 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






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






14. Null hypothesis






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






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






17. Test use normalcdf(ZTS -999)






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






19. 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






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






21. 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






22. 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






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






24. Members of the population select themselves by volunteering






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






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






27. Standard scores and percentile






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






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






30. 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






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






32. Type II error is measured






33. 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






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






35. Population size






36. Information about individuals in a population






37. One extreme value can affect it dramatically.






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






39. Complement of p






40. _______________ 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






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






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






43. A numerical quantity measuring some aspect of the population






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






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

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46. 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






47. Parameter






48. Range - standard deviation and variance.






49. Probability of event A






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







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