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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 a sample containing similar characteristics of the population






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






3. Collection of information from a sample






4. 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






5. Null hypothesis






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






7. 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






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






9. Members of the population select themselves by volunteering






10. Standard scores and percentile






11. Sample size or number of trials






12. 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).






13. Type of bar graph that shows frequency distributions






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






15. Capital sigma; summation






16. Sample proportion






17. 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






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






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






20. Population proportion






21. Sample variance






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






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






24. 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






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






26. Information about individuals in a population






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






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






29. Always use a equal symbol






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






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






32. 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






33. Sum of the values






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






35. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively






36. 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






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






38. Collection of information from the whole population






39. Represents categories - and is nonnumerical in nature






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






41. Complement of p






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






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






44. Sample mean






45. Mean - mode - median and midrange.






46. Alternative hypothesis






47. The number of times each data value occurs






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






49. 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






50. Sample standard deviation