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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. 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






3. Parameter






4. 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






5. 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






6. The important aspects of the data are called?






7. 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).






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






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






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






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






12. Sample standard deviation






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






14. Capital sigma; summation






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






16. Standard scores and percentile






17. One extreme value can affect it dramatically.






18. 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






19. Lowercase sigma; population standard deviaition






20. Always use a equal symbol






21. 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






22. Population proportion






23. 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






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






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






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






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






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






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






30. Members of the population select themselves by volunteering






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






32. Type II error is measured






33. Alternative hypothesis






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






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






36. 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






37. A numerical quantity measuring some aspect of the population






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






39. 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






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






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






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






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






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






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






46. Collection of information from a sample






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

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






49. Population size






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