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






2. Range - standard deviation and variance.






3. 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






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






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






6. Population proportion






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






8. 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






9. Lowercase sigma; population standard deviaition






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






11. The important aspects of the data are called?






12. Mean - mode - median and midrange.






13. Sample size or number of trials






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






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






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






17. An individual data value which lies far (above or below) from most or all of the other data values within a distribution






18. 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






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






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






21. Capital sigma; summation






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






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






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






25. Members of the population select themselves by volunteering






26. Sample variance






27. 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






28. Sum of the values






29. 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






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






31. 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






32. Sample standard deviation






33. 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






34. Statistics






35. 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






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






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






38. Always use a equal symbol






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






40. Square the standard deviation and to find the population variance square of the population standard deviation






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






42. Probability of event A






43. _______________ 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






44. Is a sample containing similar characteristics of the population






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






46. Population variance






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






48. Complement of p






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






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







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