Test your basic knowledge |

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. 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






2. Always use a equal symbol






3. Mu; population mean






4. Type of bar graph that shows frequency distributions






5. Standard scores and percentile






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






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






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






9. Sum of the values






10. Mean - mode - median and midrange.






11. Alternative hypothesis






12. 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






13. 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






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






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






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






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






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






19. The number of times each data value occurs






20. Collection of information from the whole population






21. Population size






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






23. 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






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






25. The important aspects of the data are called?






26. Probability of event A






27. _______________ 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






28. 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).






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






30. One extreme value can affect it dramatically.






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






32. Sample variance






33. Statistics






34. Lowercase sigma; population standard deviaition






35. Null hypothesis






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






37. Population proportion






38. 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






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






40. 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






41. Sample proportion






42. Range - standard deviation and variance.






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

Warning: Invalid argument supplied for foreach() in /var/www/html/basicversity.com/show_quiz.php on line 183


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






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






46. Capital sigma; summation






47. 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






48. Sample standard deviation






49. 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






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