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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 proportion






2. Collection of information from the whole population






3. _______________ 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






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






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






6. Sum of the values






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






8. Test use normalcdf(ZTS -999)






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






10. The important aspects of the data are called?






11. Level of measurement- Is the interval level modified to include the inherent zero starting point (where zero indicates that none of the quantity is present). For values at this level - differences and ratios are both meaningful. (Example) Ages of sur






12. Capital sigma; summation






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






14. 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






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






16. Sample mean






17. Alternative hypothesis






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






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






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






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






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






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

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24. Population proportion






25. Lowercase sigma; population standard deviaition






26. Statistics






27. Population variance






28. 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






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






30. Range - standard deviation and variance.






31. Type II error is measured






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






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






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






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






36. Always use a equal symbol






37. 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






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






39. 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






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






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






42. The number of times each data value occurs






43. 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






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






45. Information about individuals in a population






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






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






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






49. Null hypothesis






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