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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. Alternative hypothesis






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






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






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






6. 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






7. Sample mean






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






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






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






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






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






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






14. Probability of event A






15. Parameter






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






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






18. Statistics






19. Collection of information from a sample






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






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






22. (largest data value) - (smallest data value)






23. The number of times each data value occurs






24. When the distribution of the data values greater than the center of the display - and the data values less than the center of the display are mirror images of each other






25. 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).






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






27. Population proportion






28. Lowercase sigma; population standard deviaition






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






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






31. 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






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






33. Always use a equal symbol






34. 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






35. Mean - mode - median and midrange.






36. Collection of information from the whole population






37. Is a sample containing similar characteristics of the population






38. 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






39. 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






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






41. Complement of p






42. Sample size or number of trials






43. 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






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






45. Type of bar graph that shows frequency distributions






46. Population size






47. Standard scores and percentile






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






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






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