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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. Probability of event A
Sample
N
P(A)
2. 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
Statistic
Census
Simple Random Sample
The 4 measures of center
3. 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
The 4 measures of center
Sample
Outliers
Population Size
4. To find the range subtract the lowest value by the highest value.
Distribution
Range
Ratio
5. Lowercase sigma; population standard deviaition
s
Characteristic of a distribution
p value right tail
P(A)
6. Test use normalcdf(ZTS -999)
Ordinal
p value right tail
Raw Data
The effect of extreme values on the measures of center
7. Is the entire collection of all individuals or objects of interest
Pictograph
x
Population
Sample Variance
8. Sample mean
Descriptive Statistics
Self-selected sample
Convenience sampling
x
9. 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
Skewed Distribution
Random Sample or Probability Sample
Cluster sampling
Simple Random Sample
10. 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
Percentile
Inferential Statistics
Alpha (a)
11. Create a sample by using data from population members that are readily available
Statistics
Center of Distribution
Convenience sampling
s2
12. Type of bar graph that shows frequency distributions
Descriptive Statistics
Observational study
Frequency histogram
Variable
13. Determine the location of the middle value of all the data values
Range
Ratio
Categorical Variable
Center of Distribution
14. Level of measurement- Is the interval level modified to include the inherent zero starting point (where zero indicates that none of the quantity is present). For values at this level - differences and ratios are both meaningful. (Example) Ages of sur
S x
p
Ratio
H0
15. Information about individuals in a population
Data
p
Categorical Variable
Skewed Distribution
16. Variable where the value is a number that results from a measurement process - also called numerical data
Convenience sampling
Nominal
s
Numerical Variable
17. Population proportion
Statistics
Variable
Census
p
18. 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
Nominal
range
Sample
s2
19. A subset of the population- it's important to choose a sample at random to avoid bias in the results
range
Sample
p
s
20. Range - standard deviation and variance.
The 3 measures of variation
Parameter
s2
Center of Distribution
21. 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
Discrete numerical data
Survey
Median
Population
22. Sample standard deviation
p value left tail
s
s2
Sample Size
23. 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
Dependent events
Relative frequency histogram
Alpha (a)
Data
24. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Data Set
Representative Sample
Ordinal
25. Type II error is measured
Numerical measurement describing some characteristics of a population.
Sampling
Percentile
26. 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
Designed experiment
x
Statistics
Ratio
27. 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.
Pictograph
Independent events
n
Exploratory data analysis
28. A collection of individuals about which we want to draw conclusions
Population
Interval
Representative Sample
Skewed Distribution
29. _______________ 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
Sample Size
Distribution
Statistics
Strata sampling
30. Always use a equal symbol
What symbol must always be found in H0
S
The effect of extreme values on the measures of center
Statistic
31. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Exploratory data analysis
Strata sampling
Distribution
p value left tail
32. Is denoted by 'n' - is the number of data values in the sample
s2
n
Outliers
Sample Size
33. Is a collection of several data pertaining to one or more variables
Pictograph
Data Set
Relative frequency histogram
p value right tail
34. Alternative hypothesis
Population
S x
H1
Census
35. Occur when one does not affect the probability of the occurrence of the other.
Distribution
p value right tail
Independent events
Range
36. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Bias
Frequency
s2
Outlier
37. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Designed experiment
Dot plots
Observational study
Representative Sample
38. Complement of p
Characteristic of a distribution
Ordinal
H1
q
39. A survey that includes every item or individual of the population
Census
Sample
Ordinal
Relative frequency histogram
40. Collection of information from the whole population
Census
The effect of extreme values on the measures of center
Dot plots
41. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Stem and leaf plots
Ordinal
Data Set
42. Represents categories - and is nonnumerical in nature
Categorical Variable
What symbol must always be found in H0
p
43. Population variance
Outliers
N
Relative frequency histogram
s2
44. 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
Ordinal
Frequency
Representative Sample
Strata sampling
45. Occur when one of them affects the probability of the other.
Representative Sample
Dependent events
Center of Distribution
q
46. Is denoted by 'N' - is the number of data values in the population
Discrete numerical data
Population Size
Outliers
Numerical measurement describing some characteristics of a population.
47. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
S x
Random Sample or Probability Sample
Bias
s2
48. (largest data value) - (smallest data value)
range
Parameter
Exploratory data analysis
Self-selected sample
49. Mean - mode - median and midrange.
s2
The 4 measures of center
Bias
Median
50. Is a sample containing similar characteristics of the population
Cluster sampling
s2
Representative Sample
Numerical Variable