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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. Sample size or number of trials






2. 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






3. Population proportion






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






5. Lowercase sigma; population standard deviaition






6. 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






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. Always use a equal symbol






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






10. 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.






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






12. _______________ of a numerical variable represents the data values of the variable from the lowest to the highest value along with the number of times each data value occurs






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






14. Mean - mode - median and midrange.






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






16. Range - standard deviation and variance.






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






18. 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






19. Alternative hypothesis






20. Sum of the values






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






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






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






24. Null hypothesis






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






26. 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).






27. Complement of p






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






29. Mu; population mean






30. Probability of event A






31. Information about individuals in a population






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






33. Population size






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






35. 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






36. Sample variance






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






38. Capital sigma; summation






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






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






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






42. Statistics






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






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






45. Type II error is measured






46. Type of bar graph that shows frequency distributions






47. 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






48. 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






49. Can be used to get an initial graphical view of data






50. Parameter