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






2. 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






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






4. 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






5. The number of times each data value occurs






6. Population size






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






8. Parameter






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






10. Complement of p






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






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






13. Type II error is measured






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






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






16. 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.






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






18. Sample variance






19. Population variance






20. 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






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






22. Statistics






23. Lowercase sigma; population standard deviaition






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






25. Is a sample containing similar characteristics of the population






26. 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






27. One extreme value can affect it dramatically.






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






29. Sample standard deviation






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






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






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






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






34. Range - standard deviation and variance.






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






36. Probability of event A






37. Sample proportion






38. Mu; population mean






39. Members of the population select themselves by volunteering






40. Mean - mode - median and midrange.






41. Standard scores and percentile






42. Null hypothesis






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






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






45. Type of information - usually a property of characteristic of a person or thing that is measured or observed






46. 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






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






48. Type of bar graph that shows frequency distributions






49. Capital sigma; summation






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