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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. 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






2. Information about individuals in a population






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






4. Type of bar graph that shows frequency distributions






5. Lowercase sigma; population standard deviaition






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






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






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






9. 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






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






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






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






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






14. One extreme value can affect it dramatically.






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






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






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






18. 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






19. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded






20. Sample variance






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


22. Represents categories - and is nonnumerical in nature






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






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






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






26. 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






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






28. 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






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






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






31. A numerical quantity measuring some aspect of the population






32. 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






33. The number of times each data value occurs






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






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






36. Sample mean






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






38. 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.






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






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






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






42. 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






43. 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).






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






45. Always use a equal symbol






46. 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






47. Test use normalcdf(ZTS -999)






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






49. Sample size or number of trials






50. Null hypothesis