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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. Sample mean






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






3. The number of times each data value occurs






4. When the distribution of the data values tend to be concentrated toward one end of the display or tail of the distribution - while the data values in the other tail are spread out through extreme values resulting in a longer tail






5. Sample standard deviation






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






7. Complement of p






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






9. 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






10. Information about individuals in a population






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






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






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






14. Before they are arranged or analyzed - information or observations are called________.






15. One extreme value can affect it dramatically.






16. Members of the population select themselves by volunteering






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






18. Test use normalcdf(ZTS -999)






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






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






21. Collection of information from the whole population






22. 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






23. Probability of event A






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






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






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






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






28. _______________ 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






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






31. Sample variance






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. The important aspects of the data are called?






34. Sample size or number of trials






35. 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






36. 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






37. 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






38. Range - standard deviation and variance.






39. Type of bar graph that shows frequency distributions






40. Population size






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






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






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






44. Sum of the values






45. 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






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






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






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






49. Type II error is measured






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).