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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. Alternative hypothesis






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






3. 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






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






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






6. Members of the population select themselves by volunteering






7. Is a sample containing similar characteristics of the population






8. 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






9. 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






10. Range - standard deviation and variance.






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






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






13. Type II error is measured






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






15. Capital sigma; summation






16. A numerical quantity measuring some aspect of the population






17. Type of bar graph that shows frequency distributions






18. Probability of event A






19. Involves the procedures associated with the data collection process - the summarizing and interpretation of data - and the drawing of inferences or conclusions based on the analysis of the data






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






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






22. Population size






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. Is a number that describes a characteristic of a sample

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






26. The number of times each data value occurs






27. Sample variance






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






29. Level of measurement- involves data that consist of names - labels and categories only. The data cannot be arranged in an ordering scheme (such as low to high). (Example) Nationalities of survey respondents






30. _______________ 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






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






32. 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






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






34. Square the standard deviation and to find the population variance square of the population standard deviation






35. 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






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






37. 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.






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






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






40. 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).






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






42. Population proportion






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






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






45. 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






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






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






48. Sample size or number of trials






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






50. Complement of p