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. 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
Population
Census
Survey
2. Sum of the values
S x
Simple Random Sample
Variable
Statistic
3. Sample mean
Frequency histogram
Statistic
x
4. Is a collection of several data pertaining to one or more variables
Census
Parameter
Data Set
Stem-and-Leaf display
5. To divide the population into 2 or more non-overlapping subsets called strata
Relative frequency histogram
Dependent events
Strata sampling
Convenience sampling
6. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Data
range
Variable
p
7. Collection of information from a sample
Statistics
Skewed Distribution
Convenience sampling
Survey
8. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Numerical measurement describing some characteristics of a population.
The 2 measures of relative standing
Statistic
9. Occur when one of them affects the probability of the other.
Categorical Variable
Dependent events
Population Size
S
10. Population size
Census
H0
N
Distribution
11. 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
Data Set
Ratio
Frequency histogram
12. _______________ are numerical measurements that can assume any value between two numbers
Representative Sample
s2
Continuous Data
Sample
13. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Systematic sampling
p value two tailed test
Outliers
Categorical Variable
14. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
P(A)
The 4 measures of center
Outlier
Sample
15. Range - standard deviation and variance.
p
Simple Random Sample
The 3 measures of variation
Range
16. Sample variance
S
The 2 measures of relative standing
s2
Inferential Statistics
17. Create a sample by using data from population members that are readily available
Symmetric Distribution
Simple random sample
Statistic (note there is no 's' at the end)
Convenience sampling
18. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
S x
Symmetric Distribution
Representative Sample
What symbol must always be found in H0
19. Null hypothesis
s
H0
Survey
Range
20. Is a sample containing similar characteristics of the population
Representative Sample
Statistic
Convenience sampling
Frequency histogram
21. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
Random Sample or Probability Sample
Center of Distribution
p value left tail
22. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Census
Convenience sampling
Characteristic of a distribution
23. Members of the population select themselves by volunteering
Sample Size
p value two tailed test
What symbol must always be found in H0
Self-selected sample
24. Complement of p
q
p value right tail
Strata sampling
H1
25. A subset of the population- it's important to choose a sample at random to avoid bias in the results
s
Statistic
Sample
Statistics
26. 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
Frequency histogram
Statistic (note there is no 's' at the end)
Stem-and-Leaf display
Dot plots
27. Before they are arranged or analyzed - information or observations are called________.
Range
Raw Data
Statistic
p value two tailed test
28. Sample proportion
p
range
Statistic
Statistic
29. Is the entire collection of all individuals or objects of interest
Self-selected sample
Population
Descriptive Statistics
Outliers
30. Is a number that describes a characteristic of a population
Range
Parameter
Distribution
Observational study
31. 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
Discrete numerical data
What symbol must always be found in H0
Simple Random Sample
S
32. To find the range subtract the lowest value by the highest value.
N
p
Range
Statistic
33. Using graphs and numerical summaries to describe variables in a data set and their relationship
Raw Data
Exploratory data analysis
S x
Ordinal
34. _______________ 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 effect of extreme values on the measures of center
Frequency histogram
Random Sample or Probability Sample
Distribution
35. Can be used to get an initial graphical view of data
Inferential Statistics
Graph
Survey
Dot plots
36. 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
s
Inferential Statistics
Numerical measurement describing some characteristics of a population.
37. 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
H1
Parameter
Cluster sampling
Skewed Distribution
38. Probability of event A
Data Set
P(A)
The 4 measures of center
39. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
range
p
Sample
Relative frequency histogram
40. A numerical quantity measuring some aspect of the population
Systematic sampling
Statistic
Parameter
41. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Statistics
q
Distribution
42. Sample size or number of trials
Variable
Skewed Distribution
n
x
43. Statistics
Dot plots
Numerical measurement describing some characteristic of a sample.
The 2 measures of relative standing
p value right tail
44. Sample standard deviation
n
s
Graph
Distribution
45. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Sample
P(A)
Cluster sampling
46. Alternative hypothesis
Survey
H1
H0
s
47. A collection of individuals about which we want to draw conclusions
Frequency histogram
Population
Census
What symbol must always be found in H0
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
Designed experiment
Discrete numerical data
Convenience sampling
Sample
49. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Representative Sample
Outliers
Median
50. Lowercase sigma; population standard deviaition
s
Alpha (a)
Frequency histogram
n