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






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






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






5. Probability of event A






6. 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






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






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






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






10. Represents categories - and is nonnumerical in nature






11. 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






12. 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






13. Complement of p






14. Sum of the values






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






16. Sample proportion






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






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






20. 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






21. Alternative hypothesis






22. Members of the population select themselves by volunteering






23. 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






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






25. The number of times each data value occurs






26. Null hypothesis






27. Sample variance






28. 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






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






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






31. Population variance






32. Capital sigma; summation






33. Population size






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






35. 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






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






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






38. Statistics






39. The important aspects of the data are called?






40. 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






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






42. Type II error is measured






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






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






45. 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






46. Standard scores and percentile






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






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






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






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