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






2. Information about individuals in a population






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






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






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






6. The important aspects of the data are called?






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






8. Represents categories - and is nonnumerical in nature






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






10. Is a sample containing similar characteristics of the population






11. Sum of the values






12. Null hypothesis






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






14. 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






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






16. Always use a equal symbol






17. Type of bar graph that shows frequency distributions






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






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






20. Collection of information from a sample






21. 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.






22. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample






23. Sample size or number of trials






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






25. Test use normalcdf(ZTS -999)






26. Sample variance






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






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






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






30. Statistics






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






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






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






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






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






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






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






38. Sample mean






39. Alternative hypothesis






40. Type II error is measured






41. 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






42. Complement of p






43. Sample standard deviation






44. Capital sigma; summation






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






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. Is a number that describes a characteristic of a sample

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48. Population variance






49. Lowercase sigma; population standard deviaition






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