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






2. Null hypothesis






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






4. Capital sigma; summation






5. Is a sample containing similar characteristics of the population






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






7. Collection of information from a sample






8. Probability of event A






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






10. Standard scores and percentile






11. 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






12. Complement of p






13. 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






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






15. Mean - mode - median and midrange.






16. Always use a equal symbol






17. 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






18. Population proportion






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






20. The important aspects of the data are called?






21. Sample variance






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






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






24. 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






25. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner






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






27. 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






28. Sample standard deviation






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






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






31. 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






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






33. Test use normalcdf(ZTS -999)






34. Statistics






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






36. 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






37. 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






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






39. 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).






40. 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






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






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






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






44. Represents categories - and is nonnumerical in nature






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






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






47. Information about individuals in a population






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

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






50. Alternative hypothesis