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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 mean






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






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






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






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






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






7. 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).






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






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






10. Always use a equal symbol






11. 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.






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






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






14. Using graphs and numerical summaries to describe variables in a data set and their relationship






15. Sum of the values






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






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






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






19. Complement of p






20. Population size






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






22. The number of times each data value occurs






23. Represents categories - and is nonnumerical in nature






24. 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






25. 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






26. 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






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






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






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






30. The important aspects of the data are called?






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






32. Sample size or number of trials






33. 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






34. 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






35. Mu; population mean






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






37. 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






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






39. Collection of information from the whole population






40. 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






41. Sample proportion






42. Alternative hypothesis






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

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






45. Population proportion






46. Capital sigma; summation






47. 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






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






49. Lowercase sigma; population standard deviaition






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







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