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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- 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).






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






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






4. Capital sigma; summation






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






6. Mean - mode - median and midrange.






7. Population variance






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






9. 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






10. The important aspects of the data are called?






11. Mu; population mean






12. Parameter






13. Represents categories - and is nonnumerical in nature






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






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






16. 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






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






18. Is a sample containing similar characteristics of the population






19. 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






20. Population size






21. Type of bar graph that shows frequency distributions






22. 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






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






24. Always use a equal symbol






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






26. Statistics






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






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






29. Sample mean






30. 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






31. 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






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






33. A numerical quantity measuring some aspect of the population






34. 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






35. 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






36. The variable value can be represented as isolated points on a number line






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






39. 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.






40. Sample proportion






41. 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






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






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






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






45. Probability of event A






46. Sum of the values






47. Lowercase sigma; population standard deviaition






48. Alternative hypothesis






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






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