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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. Always use a equal symbol






2. Test use normalcdf(ZTS -999)






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






4. Sample variance






5. 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






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






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






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

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9. 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.






10. Members of the population select themselves by volunteering






11. Sample mean






12. Complement of p






13. Before they are arranged or analyzed - information or observations are called________.






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






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






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






17. One extreme value can affect it dramatically.






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






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






20. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample






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






22. 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






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






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






25. 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






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






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






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






29. 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






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






31. 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).






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






33. Mu; population mean






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






35. The number of times each data value occurs






36. Information about individuals in a population






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






38. 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






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






40. Type of bar graph that shows frequency distributions






41. _______________ 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






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






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






44. 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






45. Type II error is measured






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






47. Lowercase sigma; population standard deviaition






48. Sample standard deviation






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






50. 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