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






3. 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).






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






5. 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






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

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






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






9. Type of bar graph that shows frequency distributions






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






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






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






13. Mean - mode - median and midrange.






14. Null hypothesis






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






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






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






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






19. 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






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






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






22. Statistics






23. 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






24. Information about individuals in a population






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






26. Probability of event A






27. 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






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






29. 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






30. Alternative hypothesis






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






32. A numerical quantity measuring some aspect of the population






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






34. Represents categories - and is nonnumerical in nature






35. Sample standard deviation






36. Capital sigma; summation






37. The number of times each data value occurs






38. _______________ 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






39. Always use a equal symbol






40. Lowercase sigma; population standard deviaition






41. 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






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






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






44. 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






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






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






47. Mu; population mean






48. Sample size or number of trials






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






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