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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. Null hypothesis






2. Alternative hypothesis






3. Represents categories - and is nonnumerical in nature






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






5. 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






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






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






8. 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






9. Capital sigma; summation






10. Lowercase sigma; population standard deviaition






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






12. Mu; population mean






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






14. Collection of information from the whole population






15. Sample size or number of trials






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






17. Parameter






18. (largest data value) - (smallest data value)






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






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






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






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






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






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






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






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






27. Sum of the values






28. Sample variance






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






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






31. Population variance






32. Information about individuals in a population






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






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






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






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






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






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






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






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. Standard scores and percentile






42. Members of the population select themselves by volunteering






43. The important aspects of the data are called?






44. Mean - mode - median and midrange.






45. Statistics






46. 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






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






48. 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






49. _______________ 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






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