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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 mean






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






3. Is a sample containing similar characteristics of the population






4. Population variance






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






6. Always use a equal symbol






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






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






9. A numerical quantity measuring some aspect of the population






10. Standard scores and percentile






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






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






13. Collection of information from a sample






14. Type II error is measured






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






16. 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






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






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






19. 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






20. Population proportion






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






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






23. 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






24. Sample proportion






25. 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






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






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






28. 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).






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






30. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively






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






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






33. _______________ 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






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






35. Alternative hypothesis






36. Mean - mode - median and midrange.






37. One extreme value can affect it dramatically.






38. Capital sigma; summation






39. Members of the population select themselves by volunteering






40. Represents categories - and is nonnumerical in nature






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






42. Complement of p






43. 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






44. 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






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






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






47. Sample variance






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






49. Collection of information from the whole population






50. 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