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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. Collection of information from the whole population






2. Complement of p






3. Type II error is measured






4. Type of bar graph that shows frequency distributions






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






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






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






8. Parameter






9. 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






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






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






12. 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






13. The important aspects of the data are called?






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






15. Sample mean






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






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






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






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






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






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






22. 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






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






24. Alternative hypothesis






25. _______________ 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






26. Information about individuals in a population






27. 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






28. Statistics






29. Probability of event A






30. Population variance






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






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






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






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






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






36. One extreme value can affect it dramatically.






37. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.






38. Middle value of a set of data values after they've been arranged in numerical order - 1. First arrange data values in numerical order 2. For odd # of data values - the median is the middle data value 3. For even # of data values - the median is the m






39. Lowercase sigma; population standard deviaition






40. 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






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






42. Mean - mode - median and midrange.






43. Mu; population mean






44. Sum of the values






45. Capital sigma; summation






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


47. Standard scores and percentile






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






49. Sample proportion






50. 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