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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. 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






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






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






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






5. Range - standard deviation and variance.






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

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






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






9. 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






10. 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






11. Sample mean






12. Population variance






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






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






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






16. Standard scores and percentile






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






18. Population proportion






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






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






21. Represents categories - and is nonnumerical in nature






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






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






24. Probability of event A






25. Sum of the values






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






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






28. Collection of information from a sample






29. 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






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






31. Type of bar graph that shows frequency distributions






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






33. The important aspects of the data are called?






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. Is a sample containing similar characteristics of the population






36. Mu; population mean






37. _______________ are numerical measurements that can assume any value between two numbers






38. Sample standard deviation






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






40. Mean - mode - median and midrange.






41. Information about individuals in a population






42. 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






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. Population size






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






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






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






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






49. Sample variance






50. 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