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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 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






2. Collection of information from the whole population






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






4. Sample standard deviation






5. Capital sigma; summation






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






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






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






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






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






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






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






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






14. Null hypothesis






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






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






17. A numerical quantity measuring some aspect of the population






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






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






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






21. Sample size or number of trials






22. 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






23. Population proportion






24. 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






25. One extreme value can affect it dramatically.






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






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






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






29. 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






30. Probability of event A






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






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






33. 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






34. Parameter






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






36. Is a sample containing similar characteristics of the population






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






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






39. 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






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






41. Range - standard deviation and variance.






42. Members of the population select themselves by volunteering






43. 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






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






45. Mu; population mean






46. Mean - mode - median and midrange.






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






49. Always use a equal symbol






50. Alternative hypothesis