Test your basic knowledge |

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. Statistics






2. Mean - mode - median and midrange.






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






4. Capital sigma; summation






5. Test use normalcdf(ZTS -999)






6. Members of the population select themselves by volunteering






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






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






9. 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






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






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






12. Collection of information from a sample






13. Sample standard deviation






14. 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






15. Sample proportion






16. Sum of the values






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






18. 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).






19. 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






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






21. 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






22. 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






23. When the distribution of the data values tend to be concentrated toward one end of the display or tail of the distribution - while the data values in the other tail are spread out through extreme values resulting in a longer tail






24. 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






25. 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






26. Parameter






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






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






29. Sample variance






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






31. Population proportion






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






33. Complement of p






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






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






36. A numerical quantity measuring some aspect of the population






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






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






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






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






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






42. The number of times each data value occurs






43. Information about individuals in a population






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

Warning: Invalid argument supplied for foreach() in /var/www/html/basicversity.com/show_quiz.php on line 183


45. Mu; population mean






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






47. Standard scores and percentile






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






49. Sample mean






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