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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. Mu; population mean
Independent events
s2
Pictograph
2. Sample standard deviation
Discrete Data
Range
Interval
s
3. Is a collection of several data pertaining to one or more variables
Designed experiment
Statistic
Data Set
Relative frequency histogram
4. The variable value can be represented as isolated points on a number line
The 4 measures of center
p value two tailed test
Exploratory data analysis
Discrete numerical data
5. Is denoted by 'n' - is the number of data values in the sample
Numerical measurement describing some characteristics of a population.
Sample Size
p
Representative Sample
6. Occur when one does not affect the probability of the occurrence of the other.
Categorical Variable
Population
H0
Independent events
7. Members of the population select themselves by volunteering
Independent events
p
Self-selected sample
Distribution
8. 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
p value left tail
Observational study
Median
Stem and leaf plots
9. Lowercase sigma; population standard deviaition
s
Sample
Parameter
Numerical Variable
10. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Simple Random Sample
Disjoint event
Sample Variance
Survey
11. To find the range subtract the lowest value by the highest value.
Range
p value left tail
Sample
Pictograph
12. Range - standard deviation and variance.
p value two tailed test
The 3 measures of variation
Population
Center of Distribution
13. Can be used to get an initial graphical view of data
The effect of extreme values on the measures of center
N
Dot plots
Population Size
14. Test use normalcdf(ZTS -999)
p value right tail
Sampling
Sample
S x
15. Is the process of selecting a portion - or sample - of the entire population
Numerical measurement describing some characteristics of a population.
Sampling
x
Population
16. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
range
Data
Nominal
17. 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
The 3 measures of variation
Exploratory data analysis
Alpha (a)
Bias
18. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Ratio
Raw Data
Outlier
Frequency
19. _______________ are numerical values that can assume only a limited number of values
Frequency histogram
Range
Discrete Data
20. Sample variance
Random Sample or Probability Sample
Parameter
s2
The 3 measures of variation
21. Determine the location of the middle value of all the data values
p value right tail
Variable
Center of Distribution
Random Sample or Probability Sample
22. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
N
s
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
Dependent events
s
Pictograph
Outliers
24. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
n
Inferential Statistics
Distribution
Sampling
25. 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
Random Sample or Probability Sample
Frequency
Self-selected sample
26. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Simple Random Sample
The 4 measures of center
Relative frequency histogram
Stem-and-Leaf display
27. Type II error is measured
Inferential Statistics
Population
p value left tail
28. 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).
Interval
Convenience sampling
Range
s2
29. Population size
Population
Simple random sample
N
Raw Data
30. Sample proportion
Frequency
Independent events
p
31. Variable where the value is a number that results from a measurement process - also called numerical data
The 4 measures of center
Continuous Data
Characteristic of a distribution
Numerical Variable
32. To divide the population into 2 or more non-overlapping subsets called strata
The 2 measures of relative standing
Strata sampling
Sampling
33. Sample size or number of trials
Strata sampling
n
Numerical Variable
Relative frequency histogram
34. A survey that includes every item or individual of the population
Stem and leaf plots
Designed experiment
Census
35. Create a sample by using data from population members that are readily available
Convenience sampling
Raw Data
Dot plots
Survey
36. Population proportion
Discrete Data
Continuous Data
p
37. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Categorical Variable
Bias
Representative Sample
p value left tail
38. Square the standard deviation and to find the population variance square of the population standard deviation
Outliers
Characteristic of a distribution
Relative frequency histogram
Sample Variance
39. 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
Representative Sample
N
Sample
40. The number of times each data value occurs
Frequency
Interval
Alpha (a)
Convenience sampling
41. Is denoted by 'N' - is the number of data values in the population
Population Size
Raw Data
Outlier
Distribution
42. Sample mean
The 3 measures of variation
Variable
S x
x
43. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
What symbol must always be found in H0
n
Independent events
44. _______________ 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
Distribution
Skewed Distribution
Descriptive Statistics
Survey
45. Type of bar graph that shows frequency distributions
Cluster sampling
x
Data
Frequency histogram
46. 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
Statistics
Percentile
Stem and leaf plots
S
47. Information about individuals in a population
p value right tail
S x
Sample
Data
48. Capital sigma; summation
S
Observational study
Dot plots
The 2 measures of relative standing
49. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Dependent events
n
Population
Statistic
50. Collection of information from a sample
Median
Survey
Graph
Ordinal