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






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






3. Parameter






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






6. 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






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






8. _______________ are numerical values that can assume only a limited number of values






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






10. Is a sample containing similar characteristics of the population






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






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






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






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






15. Statistics






16. Complement of p






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






18. 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).






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






20. Test use normalcdf(ZTS -999)






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






22. 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.






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






24. Represents categories - and is nonnumerical in nature






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






26. Sample standard deviation






27. A numerical quantity measuring some aspect of the population






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

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29. Type II error is measured






30. 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






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






32. One extreme value can affect it dramatically.






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






34. Lowercase sigma; population standard deviaition






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






36. Mu; population mean






37. 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






38. 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






39. Sample size or number of trials






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






41. Sum of the values






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






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






44. The number of times each data value occurs






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






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






47. 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






48. Collection of information from a sample






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






50. Standard scores and percentile







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Can you answer 50 questions in 15 minutes?


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