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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 greater than the center of the display - and the data values less than the center of the display are mirror images of each other






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






3. Sample variance






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






5. Standard scores and percentile






6. The important aspects of the data are called?






7. One extreme value can affect it dramatically.






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






9. 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






10. Null hypothesis






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






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






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






14. Test use normalcdf(ZTS -999)






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






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

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






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






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






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






21. The number of times each data value occurs






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






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






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






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






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






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






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






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






30. Information about individuals in a population






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






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






33. Parameter






34. A numerical quantity measuring some aspect of the population






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






36. Is a sample containing similar characteristics of the population






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






38. Population size






39. Collection of information from the whole population






40. _______________ 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






41. Sample proportion






42. 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






43. 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






44. Sample standard deviation






45. Sum of the values






46. 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).






47. Lowercase sigma; population standard deviaition






48. 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






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






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