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






2. Create a sample by using data from population members that are readily available






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. 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






5. Test use normalcdf(ZTS -999)






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






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






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






9. One extreme value can affect it dramatically.






10. A numerical quantity measuring some aspect of the population






11. Sample standard deviation






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






13. Mu; population mean






14. Is a sample containing similar characteristics of the population






15. 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






16. Type II error is measured






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






18. Sample size or number of trials






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






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






21. Sample variance






22. 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






23. 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






24. Population variance






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






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






27. Complement of p






28. Lowercase sigma; population standard deviaition






29. 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).






30. Statistics






31. 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






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






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






34. Population proportion






35. Parameter






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






37. Mean - mode - median and midrange.






38. Level of measurement- Is the interval level modified to include the inherent zero starting point (where zero indicates that none of the quantity is present). For values at this level - differences and ratios are both meaningful. (Example) Ages of sur






39. 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






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






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






42. Capital sigma; summation






43. 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






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






45. Information about individuals in a population






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






47. Collection of information from the whole population






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






49. Population size






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