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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. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Graph
Population
Stem and leaf plots
Relative frequency histogram
2. Sample standard deviation
Stem and leaf plots
Numerical measurement describing some characteristics of a population.
s
3. Create a sample by using data from population members that are readily available
Discrete numerical data
Convenience sampling
Inferential Statistics
4. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
p
Outlier
Stem-and-Leaf display
s
5. Range - standard deviation and variance.
Characteristic of a distribution
The 3 measures of variation
N
Center of Distribution
6. 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).
Statistic (note there is no 's' at the end)
Frequency
Interval
Disjoint event
7. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Symmetric Distribution
Numerical measurement describing some characteristic of a sample.
Representative Sample
8. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Statistic (note there is no 's' at the end)
Numerical Variable
Symmetric Distribution
9. To divide the population into 2 or more non-overlapping subsets called strata
Ratio
Statistic
Strata sampling
Relative frequency histogram
10. Type of bar graph that shows frequency distributions
Frequency histogram
Sample
The 4 measures of center
Relative frequency histogram
11. Variable where the value is a number that results from a measurement process - also called numerical data
Numerical measurement describing some characteristic of a sample.
Numerical measurement describing some characteristics of a population.
Numerical Variable
q
12. Population variance
Survey
p
Discrete numerical data
s2
13. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Strata sampling
The effect of extreme values on the measures of center
Statistic
Outliers
14. 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
Independent events
Sampling
H0
15. To find the range subtract the lowest value by the highest value.
Interval
Range
p value left tail
Population
16. Is the portion of the population that is selected for study
Sample
Numerical measurement describing some characteristic of a sample.
P(A)
Observational study
17. Information about individuals in a population
Statistic
Data
Exploratory data analysis
Representative Sample
18. The variable value can be represented as isolated points on a number line
P(A)
Random Sample or Probability Sample
Statistic
Discrete numerical data
19. Type of information - usually a property of characteristic of a person or thing that is measured or observed
S x
Variable
s2
H0
20. (largest data value) - (smallest data value)
Survey
Random Sample or Probability Sample
Center of Distribution
range
21. Capital sigma; summation
Sampling
S
N
Population Size
22. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
P(A)
s
N
Survey
23. A collection of individuals about which we want to draw conclusions
Pictograph
Percentile
Statistic (note there is no 's' at the end)
Population
24. 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
s
Skewed Distribution
Simple Random Sample
The 4 measures of center
25. Complement of p
Outliers
q
p
Distribution
26. Parameter
Numerical measurement describing some characteristics of a population.
Representative Sample
Survey
Discrete numerical data
27. _______________ are numerical values that can assume only a limited number of values
Percentile
p value left tail
Discrete Data
H0
28. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Distribution
Statistic
Population Size
Sampling
29. Is a collection of several data pertaining to one or more variables
Cluster sampling
Data Set
Survey
30. Sum of the values
Inferential Statistics
Bias
q
S x
31. 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
Cluster sampling
n
Representative Sample
32. Population proportion
n
Distribution
Outlier
p
33. Standard scores and percentile
x
Median
Population
The 2 measures of relative standing
34. Before they are arranged or analyzed - information or observations are called________.
p value two tailed test
Bias
Raw Data
Sample
35. _______________ 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
Discrete numerical data
Continuous Data
Distribution
Independent events
36. Population size
Median
N
Systematic sampling
Dot plots
37. Lowercase sigma; population standard deviaition
Random Sample or Probability Sample
range
s
Statistic
38. A subset of the population- it's important to choose a sample at random to avoid bias in the results
s
Sample
S
Stem-and-Leaf display
39. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Designed experiment
Survey
Sample Variance
40. A numerical quantity measuring some aspect of the population
Simple random sample
Range
Frequency
Parameter
41. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Population
Variable
Survey
Percentile
42. Is denoted by 'N' - is the number of data values in the population
Survey
Population Size
q
x
43. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Population
Statistics
Ordinal
Observational study
44. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Survey
Systematic sampling
Numerical measurement describing some characteristics of a population.
45. Null hypothesis
H0
Statistic (note there is no 's' at the end)
Statistic
H1
46. Sample variance
H0
Survey
s2
Interval
47. 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.
Self-selected sample
Ratio
Categorical Variable
Pictograph
48. Probability of event A
P(A)
Numerical measurement describing some characteristics of a population.
H0
Categorical Variable
49. The important aspects of the data are called?
Characteristic of a distribution
Median
Frequency histogram
Statistic
50. A survey that includes every item or individual of the population
S x
Census
Distribution
Ratio