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






2. 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






3. Population variance






4. 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






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






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






7. 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






8. 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






9. 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






10. One extreme value can affect it dramatically.






11. Collection of information from a sample






12. 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






13. 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).






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






15. Capital sigma; summation






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






17. Graph involving pictures of objects in which the size of the object in which the size of the object in the picture represents the relative size of the quantity being represented by the object.






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






19. Mean - mode - median and midrange.






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






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






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






23. Always use a equal symbol






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






25. Test use normalcdf(ZTS -999)






26. The number of times each data value occurs






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






28. Mu; population mean






29. Type II error is measured






30. Represents categories - and is nonnumerical in nature






31. Is a sample containing similar characteristics of the population






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






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






34. Type of bar graph that shows frequency distributions






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






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






37. Sample standard deviation






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






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






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






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






42. Complement of p






43. 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






44. _______________ 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






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






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






48. A numerical quantity measuring some aspect of the population






49. Range - standard deviation and variance.






50. Population size