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. The important aspects of the data are called?






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






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






4. 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






5. Range - standard deviation and variance.






6. Collection of information from the whole population






7. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.






8. 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






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






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






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






12. The number of times each data value occurs






13. Is the portion of the population that is selected for study






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






15. 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






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






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






18. 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






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






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






21. _______________ 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






22. Sample mean






23. Lowercase sigma; population standard deviaition






24. Sample standard deviation






25. Type of bar graph that shows frequency distributions






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






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






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






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






30. A numerical quantity measuring some aspect of the population






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






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






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






34. Capital sigma; summation






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






36. Is a sample containing similar characteristics of the population






37. 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






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






39. Null hypothesis






40. Information about individuals in a population






41. 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






42. Population size






43. Population proportion






44. 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).






45. Parameter






46. Sample variance






47. Sample proportion






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






49. Sum of the values






50. Always use a equal symbol