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Test your basic knowledge |
DSST Intro To Statistics
Start Test
Study First
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. 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
Median
Self-selected sample
Characteristic of a distribution
Alpha (a)
2. Probability of event A
Numerical measurement describing some characteristics of a population.
p
P(A)
s2
3. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Numerical Variable
H0
Variable
4. Is denoted by 'n' - is the number of data values in the sample
Discrete Data
Sample Variance
Sample Size
The 2 measures of relative standing
5. Population size
H0
N
S x
Bias
6. Population proportion
p value left tail
p
Representative Sample
Population
7. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Inferential Statistics
Simple random sample
q
8. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Pictograph
Relative frequency histogram
Cluster sampling
Statistic
9. _______________ 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
range
Distribution
Categorical Variable
Designed experiment
10. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Outliers
Parameter
Sample
Sampling
11. 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
Stem and leaf plots
Symmetric Distribution
Sample
Cluster sampling
12. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Descriptive Statistics
Representative Sample
Survey
Inferential Statistics
13. 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
Outlier
Simple random sample
Disjoint event
Inferential Statistics
14. Sample variance
Alpha (a)
Frequency
S x
s2
15. Is the entire collection of all individuals or objects of interest
Data Set
Discrete numerical data
Percentile
Population
16. 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).
Continuous Data
n
p value right tail
Interval
17. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Sample Variance
Percentile
Frequency
Survey
18. Type of bar graph that shows frequency distributions
The 3 measures of variation
x
Pictograph
Frequency histogram
19. The number of times each data value occurs
Sample Size
Frequency
Percentile
Numerical measurement describing some characteristics of a population.
20. Sample size or number of trials
Independent events
n
Convenience sampling
s
21. _______________ are numerical measurements that can assume any value between two numbers
Stem-and-Leaf display
Continuous Data
Outliers
s
22. Mean - mode - median and midrange.
Outliers
Statistics
The 4 measures of center
Characteristic of a distribution
23. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Descriptive Statistics
Survey
p value two tailed test
Representative Sample
24. Type II error is measured
Discrete Data
Outliers
Population
25. Range - standard deviation and variance.
Symmetric Distribution
The 3 measures of variation
Frequency histogram
Census
26. Determine the location of the middle value of all the data values
Numerical measurement describing some characteristics of a population.
Discrete numerical data
Bias
Center of Distribution
27. Collection of information from the whole population
Outlier
Inferential Statistics
Outliers
Census
28. Is a number that describes a characteristic of a population
Parameter
Sample
S
Median
29. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Discrete Data
Stem and leaf plots
Percentile
30. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Interval
Dot plots
Graph
Outliers
31. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
The effect of extreme values on the measures of center
S x
Strata sampling
32. 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
Designed experiment
Pictograph
Nominal
Sampling
33. Is the process of selecting a portion - or sample - of the entire population
Disjoint event
Numerical Variable
Exploratory data analysis
Sampling
34. Members of the population select themselves by volunteering
What symbol must always be found in H0
Sampling
Self-selected sample
p
35. 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.
Outlier
Pictograph
Parameter
Bias
36. Capital sigma; summation
s2
S
Statistic
x
37. Sample proportion
Skewed Distribution
Outliers
s
p
38. Create a sample by using data from population members that are readily available
Random Sample or Probability Sample
Descriptive Statistics
Convenience sampling
Raw Data
39. 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
Frequency
Ordinal
Survey
Statistics
40. Using graphs and numerical summaries to describe variables in a data set and their relationship
Simple Random Sample
Census
Exploratory data analysis
p value two tailed test
41. Alternative hypothesis
H1
Distribution
H0
Sample Variance
42. 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
Percentile
p
Random Sample or Probability Sample
43. A collection of individuals about which we want to draw conclusions
Sampling
p
Population
Symmetric Distribution
44. Parameter
Numerical measurement describing some characteristics of a population.
Census
S
45. Mu; population mean
Cluster sampling
H1
Survey
46. 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
p value left tail
Outliers
Variable
Distribution
47. Sample mean
s2
Stem-and-Leaf display
p
x
48. Is a sample containing similar characteristics of the population
range
Graph
Data
Representative Sample
49. Occur when one of them affects the probability of the other.
Bias
p
Dependent events
50. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Frequency histogram
p value left tail
Strata sampling