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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. Population proportion






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






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






4. The number of times each data value occurs






5. Type II error is measured






6. 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






7. Mu; population mean






8. Sample standard deviation






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






10. Collection of information from a sample






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






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






13. A numerical quantity measuring some aspect of the population






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






15. Mean - mode - median and midrange.






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






17. _______________ 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






18. Sample size or number of trials






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






20. Lowercase sigma; population standard deviaition






21. Represents categories - and is nonnumerical in nature






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

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






24. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc






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






26. Test use normalcdf(ZTS -999)






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






28. Complement of p






29. 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






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






31. Population size






32. Sample proportion






33. Information about individuals in a population






34. 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






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






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






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






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






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






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






41. Type of bar graph that shows frequency distributions






42. Population variance






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






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






45. Statistics






46. A subset of the population- it's important to choose a sample at random to avoid bias in the results






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






48. One extreme value can affect it dramatically.






49. Parameter






50. Capital sigma; summation