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






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






3. Probability of event A






4. 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






5. 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






6. The important aspects of the data are called?






7. 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






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






9. 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






10. Null hypothesis






11. Complement of p






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






13. Information about individuals in a population






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






15. 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






16. Range - standard deviation and variance.






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






18. Sample mean






19. Type II error is measured






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






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






22. Standard scores and percentile






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






24. Parameter






25. Population variance






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






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






28. 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






29. 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.






30. 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






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






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






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






34. Alternative hypothesis






35. Sample variance






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






37. 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






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






39. _______________ are numerical values that can assume only a limited number of values






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






41. Represents categories - and is nonnumerical in nature






42. Population proportion






43. Sum of the values






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






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






46. 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






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






48. Capital sigma; summation






49. Members of the population select themselves by volunteering






50. 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