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






2. Members of the population select themselves by volunteering






3. 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






4. Sample size or number of trials






5. Sample variance






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






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






8. Sample standard deviation






9. 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






10. 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






11. Probability of event A






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






13. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable






14. Population proportion






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






16. _______________ 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






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






19. Complement of p






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






21. 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






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






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






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






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






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






28. 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






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






30. Mean - mode - median and midrange.






31. Mu; population mean






32. The number of times each data value occurs






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






34. Type II error is measured






35. 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).






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






37. 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






38. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded






39. Null hypothesis






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






41. 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






42. Is a sample containing similar characteristics of the population






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






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






45. Information about individuals in a population






46. Lowercase sigma; population standard deviaition






47. Collection of information from a sample






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






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






50. 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