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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. Type of bar graph that shows frequency distributions






2. One extreme value can affect it dramatically.






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






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






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






6. Capital sigma; summation






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






8. Sample size or number of trials






9. Sample standard deviation






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






11. 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






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






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






14. Type II error is measured






15. Sample proportion






16. 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






17. Lowercase sigma; population standard deviaition






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






19. A numerical quantity measuring some aspect of the population






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






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






22. The important aspects of the data are called?






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






24. To find the range subtract the lowest value by the highest value.






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






26. 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






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






28. Level of measurement- Involves data that may be arranged in some order - but differences between data values either cannot be determined or are meaningless. (Example) Questions on a survey are scored with integers 1 thru 5 with 1 representing strong






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






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






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






32. Represents categories - and is nonnumerical in nature






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






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






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






36. Mean - mode - median and midrange.






37. Standard scores and percentile






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






39. Is a sample containing similar characteristics of the population






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






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






42. Information about individuals in a population






43. 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






44. 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






45. Parameter






46. _______________ 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






47. Sample mean






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






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






50. Range - standard deviation and variance.