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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. _______________ 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






2. Type II error is measured






3. 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






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






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






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






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






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






9. A numerical quantity measuring some aspect of the population






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






11. Standard scores and percentile






12. Always use a equal symbol






13. 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).






14. Sample standard deviation






15. Is a sample containing similar characteristics of the population






16. Type of bar graph that shows frequency distributions






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






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






19. The number of times each data value occurs






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






21. Members of the population select themselves by volunteering






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






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






24. Population variance






25. Complement of p






26. Represents categories - and is nonnumerical in nature






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






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






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






30. Population proportion






31. Range - standard deviation and variance.






32. Statistics






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






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






35. 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






36. 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






37. 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






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






39. Collection of information from a sample






40. Capital sigma; summation






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






42. Test use normalcdf(ZTS -999)






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

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






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






46. 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.






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






48. Collection of information from the whole population






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






50. Mean - mode - median and midrange.