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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. Null hypothesis






2. Mu; population mean






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






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






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






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






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






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






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






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






11. Range - standard deviation and variance.






12. _______________ are numerical measurements that can assume any value between two numbers






13. Always use a equal symbol






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






15. Sample variance






16. 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






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






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






19. Complement of p






20. A numerical quantity measuring some aspect of the population






21. Members of the population select themselves by volunteering






22. Statistics






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






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






25. 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






26. Sample proportion






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






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






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






30. 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






31. 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






32. 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






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






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






35. Sample standard deviation






36. Population proportion






37. Information about individuals in a population






38. Alternative hypothesis






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






40. Collection of information from the whole population






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






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






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






44. Parameter






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






46. The number of times each data value occurs






47. An individual data value which lies far (above or below) from most or all of the other data values within a distribution






48. 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






49. Is a sample containing similar characteristics of the population






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