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. Is a number that describes a characteristic of a population
Descriptive Statistics
Simple Random Sample
Parameter
Cluster sampling
2. Square the standard deviation and to find the population variance square of the population standard deviation
Statistic (note there is no 's' at the end)
Population
Sample Variance
Variable
3. 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
Raw Data
Data
Interval
4. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Skewed Distribution
Strata sampling
Survey
Disjoint event
5. Collection of information from a sample
Distribution
p
Sample
Survey
6. Alternative hypothesis
Discrete Data
H1
Pictograph
Representative Sample
7. Can be used to get an initial graphical view of data
The 2 measures of relative standing
Numerical measurement describing some characteristic of a sample.
Dot plots
8. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Numerical measurement describing some characteristic of a sample.
p value two tailed test
Symmetric Distribution
9. The important aspects of the data are called?
Graph
The effect of extreme values on the measures of center
Random Sample or Probability Sample
Characteristic of a distribution
10. 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
Bias
Symmetric Distribution
Alpha (a)
Independent events
11. 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
Distribution
Random Sample or Probability Sample
N
Convenience sampling
12. A survey that includes every item or individual of the population
Sample Size
Survey
Descriptive Statistics
Census
13. Before they are arranged or analyzed - information or observations are called________.
Stem and leaf plots
The 3 measures of variation
Raw Data
Sampling
14. Is the process of selecting a portion - or sample - of the entire population
Sampling
Characteristic of a distribution
Raw Data
Graph
15. Is a number that describes a characteristic of a sample
16. Mu; population mean
Bias
Outliers
Dot plots
17. 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
N
Dependent events
Census
18. Type of bar graph that shows frequency distributions
Categorical Variable
Statistics
p
Frequency histogram
19. The level of significance and the probability of a type I error (rejecting a true null hypothesis). The area in the tail or tails of a distribution (z - t - or ?2); in hypothesis testing you don't always have a two tailed distribution as in confidenc
Alpha (a)
Outlier
Numerical Variable
n
20. Sample variance
s2
Variable
Data Set
Self-selected sample
21. Always use a equal symbol
What symbol must always be found in H0
Dependent events
range
Bias
22. Null hypothesis
Variable
Census
H0
Skewed Distribution
23. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Population Size
Outliers
Population
24. Sample size or number of trials
n
Distribution
Statistics
Survey
25. 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
The 2 measures of relative standing
The effect of extreme values on the measures of center
Simple Random Sample
26. 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
Simple random sample
p
S
Statistics
27. Population size
Convenience sampling
Categorical Variable
Census
N
28. Determine the location of the middle value of all the data values
s2
Center of Distribution
Parameter
Strata sampling
29. _______________ 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
Numerical measurement describing some characteristics of a population.
The 4 measures of center
Population
Distribution
30. 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.
Pictograph
Sample Variance
Survey
Relative frequency histogram
31. Level of measurement- Involves data that may be arranged in some order - but differences between data values either cannot be determined or are meaningless. (Example) Questions on a survey are scored with integers 1 thru 5 with 1 representing strong
Designed experiment
q
Ordinal
Outliers
32. Sum of the values
Statistic
Survey
S x
Population Size
33. Represents categories - and is nonnumerical in nature
p
Categorical Variable
The 4 measures of center
What symbol must always be found in H0
34. Occur when one of them affects the probability of the other.
Strata sampling
Nominal
Dependent events
Survey
35. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
n
Sample
Percentile
The 2 measures of relative standing
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
Interval
Population
Random Sample or Probability Sample
Nominal
37. Standard scores and percentile
Strata sampling
Numerical Variable
The 2 measures of relative standing
Convenience sampling
38. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Sample Variance
p value two tailed test
Percentile
Variable
39. Is a collection of several data pertaining to one or more variables
Data Set
The 3 measures of variation
Population
Variable
40. Is denoted by 'n' - is the number of data values in the sample
Stem-and-Leaf display
Sample Size
Observational study
S
41. Range - standard deviation and variance.
The 3 measures of variation
Stem-and-Leaf display
Self-selected sample
P(A)
42. A numerical quantity measuring some aspect of the population
Statistics
Random Sample or Probability Sample
s2
Parameter
43. Type II error is measured
Distribution
H0
p
44. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
s
Simple random sample
s
Inferential Statistics
45. 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
Representative Sample
Disjoint event
Designed experiment
46. _______________ are numerical measurements that can assume any value between two numbers
Sample
Continuous Data
p value two tailed test
Numerical measurement describing some characteristics of a population.
47. Capital sigma; summation
S
Sample Variance
Representative Sample
Systematic sampling
48. Variable where the value is a number that results from a measurement process - also called numerical data
Raw Data
Numerical Variable
Sampling
Outliers
49. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
p
Stem-and-Leaf display
Alpha (a)
Relative frequency histogram
50. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
p value right tail
Data Set
H1