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






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






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






6. 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






7. The important aspects of the data are called?






8. Is denoted by 'n' - is the number of data values in the sample






9. Sum of the values






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






11. 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






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






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






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






15. Null hypothesis






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






17. Lowercase sigma; population standard deviaition






18. Always use a equal symbol






19. Test use normalcdf(ZTS -999)






20. 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






21. Sample mean






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






23. Capital sigma; summation






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






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






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






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






28. 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






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






30. Members of the population select themselves by volunteering






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






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






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






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






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






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






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






39. 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.






40. Mean - mode - median and midrange.






41. Range - standard deviation and variance.






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






43. Population variance






44. Represents categories - and is nonnumerical in nature






45. Mu; population mean






46. 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






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






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






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






50. 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).







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