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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. Statistics






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






3. 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






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






5. 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






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






7. Null hypothesis






8. Is a sample containing similar characteristics of the population






9. A numerical quantity measuring some aspect of the population






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






11. 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






12. Type II error is measured






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






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






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






16. 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






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






18. Range - standard deviation and variance.






19. 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).






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






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






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






23. 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






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






25. Sample size or number of trials






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






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






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






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






30. Mu; population mean






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






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






33. One extreme value can affect it dramatically.






34. Sample proportion






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

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36. Sample variance






37. Information about individuals in a population






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






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






40. 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






41. Always use a equal symbol






42. _______________ 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






43. Population variance






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






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






46. Collection of information from the whole population






47. Sum of the values






48. Standard scores and percentile






49. Level of measurement- Involves data that may be arranged in some order - but differences between data values either cannot be determined or are meaningless. (Example) Questions on a survey are scored with integers 1 thru 5 with 1 representing strong






50. Lowercase sigma; population standard deviaition






Can you answer 50 questions in 15 minutes?



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