Test your basic knowledge |

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. Statistics






2. 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






3. Type II error is measured






4. The important aspects of the data are called?






5. Sample proportion






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






7. 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






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






9. Range - standard deviation and variance.






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. Lowercase sigma; population standard deviaition






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






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






14. Test use normalcdf(ZTS -999)






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






16. Complement of p






17. Represents categories - and is nonnumerical in nature






18. Alternative hypothesis






19. Probability of event A






20. 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






21. Determine the location of the middle value of all the data values






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






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






24. For a left tailed test use normalcdf(-999 - ZTS)






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






26. Variable where the value is a number that results from a measurement process - also called numerical data






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






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






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






30. 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






31. Sample standard deviation






32. 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






33. 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






34. Is a sample containing similar characteristics of the population






35. 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






36. Collection of information from the whole population






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






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






39. 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






40. Sample variance






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






42. Population size






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






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






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






46. Mu; population mean






47. 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).






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






49. Mean - mode - median and midrange.






50. Always use a equal symbol