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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. Represents categories - and is nonnumerical in nature
Categorical Variable
p value left tail
Pictograph
n
2. When the distribution of the data values tend to be concentrated toward one end of the display or tail of the distribution - while the data values in the other tail are spread out through extreme values resulting in a longer tail
Descriptive Statistics
Dot plots
Skewed Distribution
s
3. A numerical quantity measuring some aspect of the population
Parameter
Frequency histogram
Statistic (note there is no 's' at the end)
Pictograph
4. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Survey
The 2 measures of relative standing
Discrete numerical data
5. 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
Variable
Characteristic of a distribution
Population
Symmetric Distribution
6. Is denoted by 'N' - is the number of data values in the population
Survey
Population Size
Dot plots
Alpha (a)
7. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Alpha (a)
The 3 measures of variation
Survey
8. Determine the location of the middle value of all the data values
The 3 measures of variation
n
Numerical Variable
Center of Distribution
9. Sum of the values
Exploratory data analysis
S x
Simple Random Sample
Parameter
10. To divide the population into 2 or more non-overlapping subsets called strata
Distribution
Census
Strata sampling
The effect of extreme values on the measures of center
11. Can be used to get an initial graphical view of data
Statistics
Dot plots
Numerical Variable
Stem and leaf plots
12. 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
Random Sample or Probability Sample
Sample Size
Statistic (note there is no 's' at the end)
Representative Sample
13. (largest data value) - (smallest data value)
Continuous Data
range
Exploratory data analysis
Data Set
14. Range - standard deviation and variance.
The 3 measures of variation
x
Numerical measurement describing some characteristics of a population.
Data
15. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Frequency histogram
Nominal
Statistic (note there is no 's' at the end)
16. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Parameter
Population
Statistic
17. A survey that includes every item or individual of the population
N
Statistics
Frequency histogram
Census
18. Standard scores and percentile
Numerical measurement describing some characteristic of a sample.
Disjoint event
The 2 measures of relative standing
Categorical Variable
19. _______________ are numerical measurements that can assume any value between two numbers
Sample
Data Set
Designed experiment
Continuous Data
20. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Discrete numerical data
p
Statistic
Alpha (a)
21. Probability of event A
Strata sampling
S x
P(A)
Simple random sample
22. Test use normalcdf(ZTS -999)
p value right tail
Numerical measurement describing some characteristics of a population.
Symmetric Distribution
Frequency
23. Type II error is measured
Census
Relative frequency histogram
Skewed Distribution
24. Parameter
Numerical measurement describing some characteristics of a population.
Convenience sampling
p
Representative Sample
25. _______________ 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
The 4 measures of center
Distribution
Alpha (a)
Median
26. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Frequency histogram
Discrete Data
Distribution
Survey
27. Square the standard deviation and to find the population variance square of the population standard deviation
Survey
Distribution
Sample Variance
What symbol must always be found in H0
28. The variable value can be represented as isolated points on a number line
Symmetric Distribution
p
n
Discrete numerical data
29. Occur when one of them affects the probability of the other.
Dependent events
Distribution
s
Interval
30. The number of times each data value occurs
Distribution
s
Frequency
Strata sampling
31. Type of bar graph that shows frequency distributions
Strata sampling
Sampling
Frequency histogram
Statistic
32. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
S
Population
Descriptive Statistics
33. Create a sample by using data from population members that are readily available
H1
p
Convenience sampling
Census
34. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Center of Distribution
Range
Sample
The 3 measures of variation
35. 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
Distribution
Categorical Variable
Dependent events
36. To find the range subtract the lowest value by the highest value.
Parameter
Systematic sampling
Range
n
37. _______________ are numerical values that can assume only a limited number of values
Simple Random Sample
Discrete Data
Discrete numerical data
Statistic
38. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Statistic (note there is no 's' at the end)
Variable
Simple random sample
Bias
39. Is a collection of several data pertaining to one or more variables
Median
p
Data Set
Distribution
40. 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
Frequency histogram
Median
Survey
The effect of extreme values on the measures of center
41. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Sample Size
Skewed Distribution
Statistic
Percentile
42. Sample proportion
Statistic
Categorical Variable
Frequency
p
43. Is the portion of the population that is selected for study
The 4 measures of center
Data Set
s
Sample
44. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
p value two tailed test
Descriptive Statistics
Skewed Distribution
Survey
45. Using graphs and numerical summaries to describe variables in a data set and their relationship
Population Size
Bias
Exploratory data analysis
p value two tailed test
46. Population proportion
q
Median
p
p value right tail
47. Sample size or number of trials
S
n
Sample Variance
Population
48. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Distribution
Designed experiment
Population
Range
49. Members of the population select themselves by volunteering
Statistic
Census
P(A)
Self-selected sample
50. Statistics
Numerical measurement describing some characteristic of a sample.
Symmetric Distribution
Representative Sample
Range