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






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






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






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






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






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






7. Complement of p






8. Is the portion of the population that is selected for study






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






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






11. Sample size or number of trials






12. 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






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






14. _______________ 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






15. Sample proportion






16. Represents categories - and is nonnumerical in nature






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






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






19. 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






20. Range - standard deviation and variance.






21. Parameter






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






23. 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






24. Is the process of selecting a portion - or sample - of the entire population






25. Type II error is measured






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






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






28. Collection of information from the whole population






29. Lowercase sigma; population standard deviaition






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






31. Population proportion






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






33. 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






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






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






36. 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






37. Information about individuals in a population






38. Type of bar graph that shows frequency distributions






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






40. 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






41. 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).






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






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






44. Always use a equal symbol






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






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






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


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






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






50. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population