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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. Members of the population select themselves by volunteering






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






3. 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






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






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






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






7. Type of bar graph that shows frequency distributions






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






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






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






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






12. Graph involving pictures of objects in which the size of the object in which the size of the object in the picture represents the relative size of the quantity being represented by the object.






13. Type II error is measured






14. The important aspects of the data are called?






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






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






17. Sample variance






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






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






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






21. Alternative hypothesis






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






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






24. Null hypothesis






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


26. Mean - mode - median and midrange.






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






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






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






30. Capital sigma; summation






31. Statistics






32. 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






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






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






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






36. Sample standard deviation






37. Population variance






38. Is a sample containing similar characteristics of the population






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






40. Occur when one of them affects the probability of the other.






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






42. Lowercase sigma; population standard deviaition






43. 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






44. 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






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






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






47. 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






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






49. One extreme value can affect it dramatically.






50. 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