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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. Population size
Median
N
Percentile
2. 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
Representative Sample
Statistics
Inferential Statistics
Parameter
3. _______________ are numerical values that can assume only a limited number of values
Data
Discrete Data
Observational study
Survey
4. 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
The 4 measures of center
Ratio
Symmetric Distribution
Statistic
5. Sample proportion
Strata sampling
Exploratory data analysis
Pictograph
p
6. Collection of information from a sample
The 2 measures of relative standing
Survey
Designed experiment
Interval
7. 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
Graph
The 3 measures of variation
Nominal
Survey
8. Null hypothesis
Interval
The effect of extreme values on the measures of center
p value two tailed test
H0
9. Capital sigma; summation
Statistic
Sampling
S
Statistic (note there is no 's' at the end)
10. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
The 4 measures of center
Outlier
Continuous Data
11. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
x
Bias
Random Sample or Probability Sample
Outliers
12. Occur when one of them affects the probability of the other.
Population
Nominal
Dependent events
13. Sample variance
s2
Nominal
Statistic (note there is no 's' at the end)
Graph
14. Determine the location of the middle value of all the data values
Center of Distribution
Inferential Statistics
Numerical Variable
Range
15. Population proportion
s2
Numerical measurement describing some characteristic of a sample.
What symbol must always be found in H0
p
16. 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).
Discrete Data
Range
Interval
Convenience sampling
17. 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
Sampling
s
Sample
Random Sample or Probability Sample
18. (largest data value) - (smallest data value)
range
Sample
Numerical measurement describing some characteristics of a population.
The effect of extreme values on the measures of center
19. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Statistic
Data
Parameter
20. Members of the population select themselves by volunteering
Random Sample or Probability Sample
Designed experiment
Population
Self-selected sample
21. To divide the population into 2 or more non-overlapping subsets called strata
Population Size
Strata sampling
Cluster sampling
Independent events
22. Sample standard deviation
Nominal
Frequency
s
H1
23. The variable value can be represented as isolated points on a number line
p
Sample Size
Discrete numerical data
Outlier
24. 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
Numerical measurement describing some characteristics of a population.
Symmetric Distribution
Sample Variance
range
25. Is the process of selecting a portion - or sample - of the entire population
Sampling
Statistic
P(A)
The effect of extreme values on the measures of center
26. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Continuous Data
Cluster sampling
Median
Bias
27. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Graph
s2
S x
28. Is a number that describes a characteristic of a population
Self-selected sample
Parameter
p value two tailed test
s
29. Variable where the value is a number that results from a measurement process - also called numerical data
Graph
Center of Distribution
Simple random sample
Numerical Variable
30. 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
Dependent events
Descriptive Statistics
Simple random sample
Characteristic of a distribution
31. A numerical quantity measuring some aspect of the population
Symmetric Distribution
P(A)
Parameter
32. Represents categories - and is nonnumerical in nature
S x
s2
Nominal
Categorical Variable
33. A survey that includes every item or individual of the population
range
Census
Statistics
Categorical Variable
34. A visual exploratory data analysis technique that shows the shape of a distribution - this kind of display uses the actual values of the variable to present the shape of the distribution of data values
Stem-and-Leaf display
Continuous Data
Systematic sampling
Center of Distribution
35. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Interval
Bias
Parameter
36. Sample mean
x
range
Survey
Stem-and-Leaf display
37. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
The 3 measures of variation
Strata sampling
Graph
p
38. Using graphs and numerical summaries to describe variables in a data set and their relationship
Census
Cluster sampling
Continuous Data
Exploratory data analysis
39. To find the range subtract the lowest value by the highest value.
Interval
Relative frequency histogram
Range
Sample Variance
40. _______________ are numerical measurements that can assume any value between two numbers
Discrete numerical data
Continuous Data
P(A)
q
41. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Center of Distribution
Representative Sample
p value left tail
Census
42. Parameter
Symmetric Distribution
Nominal
Numerical measurement describing some characteristics of a population.
p value left tail
43. Standard scores and percentile
The 2 measures of relative standing
N
p value right tail
Distribution
44. Is the portion of the population that is selected for study
Sample
Characteristic of a distribution
Dependent events
45. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Bias
Numerical measurement describing some characteristic of a sample.
Simple random sample
46. 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.
Strata sampling
Pictograph
Stem and leaf plots
47. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Frequency histogram
Statistic
Simple Random Sample
Data
48. Complement of p
q
Representative Sample
Random Sample or Probability Sample
Center of Distribution
49. Test use normalcdf(ZTS -999)
S x
Statistic
p
p value right tail
50. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Characteristic of a distribution
p value two tailed test
Systematic sampling
The 3 measures of variation