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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. Complement of p






2. Range - standard deviation and variance.






3. The important aspects of the data are called?






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






5. Collection of information from a sample






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






7. 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






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






9. 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






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






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






12. A numerical quantity measuring some aspect of the population






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






14. 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






15. 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






16. Always use a equal symbol






17. Population variance






18. Test use normalcdf(ZTS -999)






19. Represents categories - and is nonnumerical in nature






20. Sample proportion






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






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






23. Sample mean






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






25. 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






26. Standard scores and percentile






27. 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






28. Lowercase sigma; population standard deviaition






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






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






31. Members of the population select themselves by volunteering






32. 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






33. Parameter






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






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






36. Capital sigma; summation






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

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






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






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






41. Statistics






42. Sample variance






43. Alternative hypothesis






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






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






46. 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






47. 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).






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






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






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