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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. Standard scores and percentile






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






3. Sample variance






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






5. A numerical quantity measuring some aspect of the population






6. Population proportion






7. Collection of information from the whole population






8. Members of the population select themselves by volunteering






9. _______________ 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






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






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






12. Represents categories - and is nonnumerical in nature






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






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






15. Range - standard deviation and variance.






16. 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






17. Parameter






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






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






20. Sample standard deviation






21. Population size






22. 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).






23. Probability of event A






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






25. 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






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






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






28. Mean - mode - median and midrange.






29. Alternative hypothesis






30. 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






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






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






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






34. 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






35. The number of times each data value occurs






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






37. Sum of the values






38. Complement of p






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






40. Always use a equal symbol






41. Information about individuals in a population






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






43. 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






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






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






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






47. Population variance






48. Capital sigma; summation






49. To find the range subtract the lowest value by the highest value.






50. 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