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






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






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






4. 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






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






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






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






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






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






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






11. 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






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






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






14. One extreme value can affect it dramatically.






15. Sample size or number of trials






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






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






18. Members of the population select themselves by volunteering






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






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






21. 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






22. Capital sigma; summation






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






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






25. 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






26. 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






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






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






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






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






31. The important aspects of the data are called?






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






33. 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






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






35. Statistics






36. 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






37. 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.






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






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






40. Sample variance






41. Alternative hypothesis






42. 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






43. Probability of event A






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






45. Mu; population mean






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






47. The number of times each data value occurs






48. Parameter






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






50. 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