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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. Probability of event A






2. 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






3. 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






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






5. Lowercase sigma; population standard deviaition






6. Test use normalcdf(ZTS -999)






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






8. Sample mean






9. 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






10. 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






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






12. Type of bar graph that shows frequency distributions






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






14. 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






15. Information about individuals in a population






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






17. Population proportion






18. 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






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






20. Range - standard deviation and variance.






21. 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






22. Sample standard deviation






23. 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






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






25. Type II error is measured






26. 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






27. 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.






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






29. _______________ 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






30. Always use a equal symbol






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






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






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






34. Alternative hypothesis






35. Occur when one does not affect the probability of the occurrence of the other.






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






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






38. Complement of p






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






40. Collection of information from the whole population






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






42. Represents categories - and is nonnumerical in nature






43. Population variance






44. 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






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






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






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






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






49. Mean - mode - median and midrange.






50. Is a sample containing similar characteristics of the population