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






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






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






4. Represents categories - and is nonnumerical in nature






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






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






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






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






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






10. 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






11. Is a sample containing similar characteristics of the population






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






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






14. Type II error is measured






15. 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






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






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






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






19. 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






20. The variable value can be represented as isolated points on a number line






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






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






23. Mu; population mean






24. 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






25. One extreme value can affect it dramatically.






26. Sample standard deviation






27. 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






28. Sample mean






29. Sample variance






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






31. 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






32. Null hypothesis






33. Sum of the values






34. The number of times each data value occurs






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






36. Mean - mode - median and midrange.






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






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






39. Population size






40. Collection of information from the whole population






41. 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






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

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






44. 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).






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






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






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






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






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






50. Standard scores and percentile