# 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. Collection of information from the whole population

2. 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

3. _______________ 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

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

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

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

7. 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

8. A numerical quantity measuring some aspect of the population

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

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

11. Population size

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

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

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

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

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

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

18. Is a sample containing similar characteristics of the population

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

20. Sample standard deviation

21. Statistics

22. 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

23. Lowercase sigma; population standard deviaition

24. 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

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

26. Sum of the values

27. Probability of event A

28. When the distribution of the data values greater than the center of the display - and the data values less than the center of the display are mirror images of each other

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

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

31. Type II error is measured

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

33. Always use a equal symbol

34. 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

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

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

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

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

39. Standard scores and percentile

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. 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

42. Sample size or number of trials

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

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

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

46. Complement of p

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

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

49. Sample mean

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