SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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. The number of times each data value occurs
Frequency
Center of Distribution
Numerical Variable
The 3 measures of variation
2. _______________ 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
Discrete numerical data
Observational study
Graph
3. _______________ are numerical values that can assume only a limited number of values
Discrete Data
P(A)
Representative Sample
Outlier
4. The important aspects of the data are called?
n
Statistic
Discrete Data
Characteristic of a distribution
5. To divide the population into 2 or more non-overlapping subsets called strata
What symbol must always be found in H0
Population Size
Strata sampling
Representative Sample
6. A survey that includes every item or individual of the population
n
Dependent events
Census
Cluster sampling
7. Always use a equal symbol
Continuous Data
What symbol must always be found in H0
Statistics
Strata sampling
8. Determine the location of the middle value of all the data values
Center of Distribution
Range
Representative Sample
9. Sum of the values
S x
Population
Inferential Statistics
Simple random sample
10. Represents categories - and is nonnumerical in nature
Median
Skewed Distribution
Categorical Variable
Representative Sample
11. Mean - mode - median and midrange.
Census
Alpha (a)
The 4 measures of center
Inferential Statistics
12. Is the entire collection of all individuals or objects of interest
Inferential Statistics
Population
Systematic sampling
Census
13. Probability of event A
P(A)
Cluster sampling
p
14. Sample variance
s2
What symbol must always be found in H0
Census
Data
15. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
x
Percentile
Relative frequency histogram
16. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Frequency
Statistic
s2
Parameter
17. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
The 4 measures of center
Systematic sampling
n
18. Sample proportion
Graph
Alpha (a)
p
Simple Random Sample
19. 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
Statistics
Stem-and-Leaf display
Random Sample or Probability Sample
20. Sample standard deviation
p value two tailed test
Representative Sample
Sample
s
21. Is a collection of several data pertaining to one or more variables
Population Size
Data Set
Systematic sampling
Population
22. 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
The 4 measures of center
What symbol must always be found in H0
Median
Raw Data
23. Is a sample containing similar characteristics of the population
The 2 measures of relative standing
What symbol must always be found in H0
Representative Sample
Nominal
24. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Parameter
Center of Distribution
Exploratory data analysis
25. Members of the population select themselves by volunteering
The 2 measures of relative standing
Sample
n
Self-selected sample
26. 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).
H0
Convenience sampling
Representative Sample
Interval
27. Create a sample by using data from population members that are readily available
Convenience sampling
H1
Nominal
Inferential Statistics
28. Square the standard deviation and to find the population variance square of the population standard deviation
Ordinal
Survey
Sample Variance
N
29. 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
Ratio
H0
Discrete Data
Independent events
30. 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
Convenience sampling
Graph
Disjoint event
Simple Random Sample
31. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Numerical Variable
Percentile
Sample Size
Statistic
32. 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
Nominal
What symbol must always be found in H0
Dot plots
Skewed Distribution
33. Occur when one of them affects the probability of the other.
Discrete numerical data
Symmetric Distribution
Dependent events
Dot plots
34. Can be used to get an initial graphical view of data
Statistics
Representative Sample
Nominal
Dot plots
35. Collection of information from a sample
Sample Size
Survey
Statistic (note there is no 's' at the end)
s2
36. 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
Statistic (note there is no 's' at the end)
Random Sample or Probability Sample
Symmetric Distribution
Skewed Distribution
37. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Raw Data
Census
Alpha (a)
Bias
38. 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
Statistic
Sample Variance
Data Set
Stem-and-Leaf display
39. Parameter
Pictograph
Numerical measurement describing some characteristics of a population.
Population Size
Systematic sampling
40. _______________ are numerical measurements that can assume any value between two numbers
Frequency
Continuous Data
H0
Sampling
41. To find the range subtract the lowest value by the highest value.
Stem and leaf plots
Range
Statistics
Relative frequency histogram
42. Is a number that describes a characteristic of a population
Categorical Variable
Numerical measurement describing some characteristics of a population.
Parameter
Random Sample or Probability Sample
43. Population proportion
Pictograph
Disjoint event
p
The 4 measures of center
44. Type II error is measured
Sampling
Frequency
Numerical Variable
45. For a left tailed test use normalcdf(-999 - ZTS)
Alpha (a)
H1
p value left tail
Population Size
46. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Stem-and-Leaf display
Survey
p
Independent events
47. Null hypothesis
Parameter
H0
Data Set
Census
48. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Sample Variance
Discrete Data
Outlier
H0
49. Complement of p
Descriptive Statistics
H1
Independent events
q
50. 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
Statistic (note there is no 's' at the end)
Self-selected sample
Population Size