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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. Information about individuals in a population






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






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






4. Sum of the values






5. Mu; population mean






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






7. 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






8. Population proportion






9. The important aspects of the data are called?






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






11. Members of the population select themselves by volunteering






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






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






14. Sample variance






15. 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






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






17. 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






18. 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






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






20. Sample mean






21. Sample size or number of trials






22. 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






23. 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






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






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






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






27. Is a sample containing similar characteristics of the population






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






29. Standard scores and percentile






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






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






32. Always use a equal symbol






33. Collection of information from the whole population






34. For a left tailed test use normalcdf(-999 - ZTS)






35. _______________ 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






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






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






38. Is denoted by 'N' - is the number of data values in the population






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






40. 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






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






42. Null hypothesis






43. 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).






44. Probability of event A






45. Population variance






46. 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






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






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


49. Statistics






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