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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. Population variance






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






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






5. 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






6. Null hypothesis






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






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






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






10. 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.






11. A numerical quantity measuring some aspect of the population






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






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






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






15. Range - standard deviation and variance.






16. Probability of event A






17. Type II error is measured






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






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






20. 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






21. Statistics






22. Parameter






23. 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






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






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






26. Lowercase sigma; population standard deviaition






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






28. Standard scores and percentile






29. Sample standard deviation






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






31. Members of the population select themselves by volunteering






32. Type of bar graph that shows frequency distributions






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






34. Variable where the value is a number that results from a measurement process - also called numerical data






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






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






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






38. Population size






39. 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






40. 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






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






42. Mean - mode - median and midrange.






43. Information about individuals in a population






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






45. Capital sigma; summation






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






47. 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






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






49. Test use normalcdf(ZTS -999)






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