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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 number of times each data value occurs
p
Parameter
Stem and leaf plots
Frequency
2. Sample standard deviation
Parameter
Survey
s
Numerical Variable
3. Always use a equal symbol
Data Set
Outliers
What symbol must always be found in H0
Sampling
4. _______________ are numerical values that can assume only a limited number of values
Parameter
Survey
Discrete Data
Statistics
5. 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
Simple random sample
s
What symbol must always be found in H0
Raw Data
6. The variable value can be represented as isolated points on a number line
Bias
Discrete numerical data
q
Ordinal
7. Collection of information from a sample
Outlier
Characteristic of a distribution
Variable
Survey
8. Can be used to get an initial graphical view of data
Stem and leaf plots
Dot plots
H1
Median
9. Population size
N
Stem and leaf plots
Characteristic of a distribution
Outlier
10. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Discrete Data
S
Cluster sampling
Systematic sampling
11. The important aspects of the data are called?
Characteristic of a distribution
Sample Variance
Strata sampling
Skewed Distribution
12. Square the standard deviation and to find the population variance square of the population standard deviation
Population
What symbol must always be found in H0
Parameter
Sample Variance
13. Null hypothesis
Relative frequency histogram
H0
Characteristic of a distribution
The 2 measures of relative standing
14. To divide the population into 2 or more non-overlapping subsets called strata
Alpha (a)
Strata sampling
Population
Inferential Statistics
15. Before they are arranged or analyzed - information or observations are called________.
Frequency histogram
Raw Data
Survey
Graph
16. Is the process of selecting a portion - or sample - of the entire population
Statistics
Census
Sampling
q
17. Mean - mode - median and midrange.
Numerical measurement describing some characteristics of a population.
The 4 measures of center
q
Population
18. _______________ are numerical measurements that can assume any value between two numbers
Variable
Continuous Data
Numerical measurement describing some characteristic of a sample.
Frequency histogram
19. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Symmetric Distribution
Survey
What symbol must always be found in H0
20. Test use normalcdf(ZTS -999)
Statistic
p value right tail
Nominal
Stem and leaf plots
21. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
H0
Observational study
s2
Population
22. Create a sample by using data from population members that are readily available
Convenience sampling
Statistic (note there is no 's' at the end)
Median
Sample Size
23. 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
Outliers
Simple Random Sample
Parameter
Continuous Data
24. 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
Self-selected sample
Numerical measurement describing some characteristic of a sample.
Population
Statistics
25. Is the entire collection of all individuals or objects of interest
Numerical measurement describing some characteristics of a population.
The 3 measures of variation
p
Population
26. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Variable
S x
Population
27. To find the range subtract the lowest value by the highest value.
Numerical measurement describing some characteristic of a sample.
Range
Categorical Variable
Sampling
28. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Ratio
Characteristic of a distribution
Parameter
Sample
29. 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
Population Size
Bias
Ordinal
What symbol must always be found in H0
30. Is a number that describes a characteristic of a population
H1
Parameter
Ordinal
Statistics
31. Is a sample containing similar characteristics of the population
Dependent events
Representative Sample
Descriptive Statistics
Distribution
32. Probability of event A
p value two tailed test
Census
P(A)
Stem-and-Leaf display
33. A collection of individuals about which we want to draw conclusions
S
Population
Distribution
q
34. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
H0
s
Statistic (note there is no 's' at the end)
35. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
H0
The 3 measures of variation
Sample
36. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Continuous Data
Survey
Categorical Variable
Sample Size
37. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Frequency
Stem-and-Leaf display
Simple random sample
38. Sample variance
Range
Ratio
Statistic
s2
39. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
The 3 measures of variation
Population
Independent events
Inferential Statistics
40. Parameter
Distribution
Frequency
Numerical measurement describing some characteristics of a population.
Representative Sample
41. Collection of information from the whole population
Stem-and-Leaf display
Census
Continuous Data
Data
42. Is a number that describes a characteristic of a sample
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43. 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
Distribution
Median
Graph
Sample
44. Mu; population mean
Frequency
Stem-and-Leaf display
Disjoint event
45. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Dependent events
p value right tail
Symmetric Distribution
46. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Survey
Relative frequency histogram
Parameter
Center of Distribution
47. 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
Population
Ratio
Nominal
Cluster sampling
48. Complement of p
P(A)
The 3 measures of variation
q
Bias
49. Is the portion of the population that is selected for study
Sample
Descriptive Statistics
Systematic sampling
Distribution
50. Is denoted by 'N' - is the number of data values in the population
Population Size
The 2 measures of relative standing
Simple Random Sample
Ordinal
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