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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. Mu; population mean






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


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






4. Parameter






5. 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






6. 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).






7. Sample proportion






8. Statistics






9. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.






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






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






12. Standard scores and percentile






13. Population proportion






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






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






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






17. Null hypothesis






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






19. Occur when one of them affects the probability of the other.






20. Always use a equal symbol






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






22. Lowercase sigma; population standard deviaition






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






24. Sample size or number of trials






25. Represents categories - and is nonnumerical in nature






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






27. Sample mean






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






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






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






31. Type II error is measured






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






33. One extreme value can affect it dramatically.






34. Population variance






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






36. Members of the population select themselves by volunteering






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






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






39. Information about individuals in a population






40. 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.






41. 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






42. Collection of information from a sample






43. Complement of p






44. Population size






45. Type of bar graph that shows frequency distributions






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






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






48. 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






49. Alternative hypothesis






50. 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