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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. 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






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






3. Type II error is measured






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






5. Population variance






6. 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.






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






8. Null hypothesis






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






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






11. Statistics






12. 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






13. Sample mean






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






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






16. Sample variance






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






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






19. 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






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






21. Complement of p






22. Population size






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






24. Level of measurement- involves data that consist of names - labels and categories only. The data cannot be arranged in an ordering scheme (such as low to high). (Example) Nationalities of survey respondents






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






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






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






28. Sample size or number of trials






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






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






31. Population proportion






32. _______________ 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






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






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






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






36. 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






37. 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






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






39. Alternative hypothesis






40. Collection of information from the whole population






41. Sample proportion






42. Parameter






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






44. Mean - mode - median and midrange.






45. 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).






46. Sample standard deviation






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






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






49. Collection of information from a sample






50. 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