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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. 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






2. Probability of event A






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






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






5. Population size






6. Population proportion






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






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






9. _______________ 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






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






11. 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






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






13. 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






14. Sample variance






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






16. 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).






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






18. Type of bar graph that shows frequency distributions






19. The number of times each data value occurs






20. Sample size or number of trials






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






22. Mean - mode - median and midrange.






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






24. Type II error is measured






25. Range - standard deviation and variance.






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






27. Collection of information from the whole population






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






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






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






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






32. 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






33. Is the process of selecting a portion - or sample - of the entire population






34. Members of the population select themselves by volunteering






35. 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.






36. Capital sigma; summation






37. Sample proportion






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






39. 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






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






41. Alternative hypothesis






42. 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






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






44. Parameter






45. Mu; population mean






46. 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






47. Sample mean






48. Is a sample containing similar characteristics of the population






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






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