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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. Collection of information from a sample






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






3. Test use normalcdf(ZTS -999)






4. 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






5. 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






6. Mean - mode - median and midrange.






7. One extreme value can affect it dramatically.






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






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






10. 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).






11. Population proportion






12. Represents categories - and is nonnumerical in nature






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






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






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






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






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






18. Range - standard deviation and variance.






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






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






21. 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






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






23. 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






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






25. Information about individuals in a population






26. Is a sample containing similar characteristics of the population






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






28. Members of the population select themselves by volunteering






29. Lowercase sigma; population standard deviaition






30. 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






31. Population variance






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






33. 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






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






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






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

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37. Sample variance






38. Always use a equal symbol






39. Variable where the value is a number that results from a measurement process - also called numerical data






40. Sample size or number of trials






41. Collection of information from the whole population






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






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






44. Statistics






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






46. 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.






47. Mu; population mean






48. Complement of p






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






50. The number of times each data value occurs