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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. Sample proportion






2. 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






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






4. 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






5. Parameter






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

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






8. Sample standard deviation






9. 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.






10. Lowercase sigma; population standard deviaition






11. Type of bar graph that shows frequency distributions






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






13. Always use a equal symbol






14. 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






15. Null hypothesis






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






17. 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






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






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






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






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






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






23. Mean - mode - median and midrange.






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






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






26. Sample variance






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






28. A survey that includes every item or individual of the population






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






30. 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






31. Information about individuals in a population






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






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






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






35. 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






36. Collection of information from a sample






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






38. 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






39. _______________ 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






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






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






42. (largest data value) - (smallest data value)






43. 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






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






45. Complement of p






46. A numerical quantity measuring some aspect of the population






47. Alternative hypothesis






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






49. 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






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