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. Sample standard deviation
Skewed Distribution
Outliers
s
Distribution
2. To find the range subtract the lowest value by the highest value.
Numerical Variable
Population Size
Census
Range
3. Sample size or number of trials
Interval
n
Observational study
Convenience sampling
4. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
p value two tailed test
Outliers
Distribution
Graph
5. Capital sigma; summation
S
Numerical measurement describing some characteristic of a sample.
Relative frequency histogram
Characteristic of a distribution
6. Is denoted by 'n' - is the number of data values in the sample
What symbol must always be found in H0
Representative Sample
s
Sample Size
7. Represents categories - and is nonnumerical in nature
Categorical Variable
range
Sampling
Census
8. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
s
Outliers
Frequency
Survey
9. Mu; population mean
Variable
Raw Data
s2
10. Always use a equal symbol
What symbol must always be found in H0
Numerical measurement describing some characteristics of a population.
Skewed Distribution
Outliers
11. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Independent events
Raw Data
Population Size
12. Members of the population select themselves by volunteering
Symmetric Distribution
Parameter
Self-selected sample
q
13. Using graphs and numerical summaries to describe variables in a data set and their relationship
The effect of extreme values on the measures of center
Exploratory data analysis
Numerical Variable
14. Sample mean
Inferential Statistics
Exploratory data analysis
x
Statistic
15. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Skewed Distribution
Self-selected sample
Descriptive Statistics
The 2 measures of relative standing
16. Collection of information from the whole population
S x
n
Census
Discrete numerical data
17. Before they are arranged or analyzed - information or observations are called________.
Discrete Data
Data
Raw Data
Stem-and-Leaf display
18. A numerical quantity measuring some aspect of the population
Percentile
Parameter
Cluster sampling
Categorical Variable
19. Create a sample by using data from population members that are readily available
Convenience sampling
Stem-and-Leaf display
Alpha (a)
Parameter
20. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Survey
Data
Distribution
P(A)
21. The number of times each data value occurs
Frequency
What symbol must always be found in H0
Parameter
Continuous Data
22. 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
Characteristic of a distribution
Sample Variance
Outliers
Descriptive Statistics
23. Population size
Self-selected sample
Variable
Observational study
N
24. Parameter
Designed experiment
s2
Numerical measurement describing some characteristics of a population.
Interval
25. 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
Descriptive Statistics
Random Sample or Probability Sample
Survey
Representative Sample
26. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Interval
s
Categorical Variable
27. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Discrete Data
Frequency histogram
Distribution
Inferential Statistics
28. 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
Percentile
s2
Systematic sampling
Stem-and-Leaf display
29. Type II error is measured
Inferential Statistics
Discrete Data
Self-selected sample
30. Sample proportion
Census
p
Discrete numerical data
Parameter
31. Statistics
P(A)
Disjoint event
Ratio
Numerical measurement describing some characteristic of a sample.
32. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
S x
Random Sample or Probability Sample
Median
33. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Numerical Variable
Sampling
Interval
Variable
34. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Simple random sample
Symmetric Distribution
The effect of extreme values on the measures of center
35. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
The 2 measures of relative standing
Numerical measurement describing some characteristics of a population.
The 4 measures of center
Disjoint event
36. _______________ are numerical measurements that can assume any value between two numbers
H1
Convenience sampling
Sample
Continuous Data
37. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
H0
s
Numerical Variable
38. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Stem and leaf plots
Representative Sample
Interval
39. Is the process of selecting a portion - or sample - of the entire population
Census
Sampling
Categorical Variable
S x
40. 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
Disjoint event
Continuous Data
Outlier
Statistics
41. Collection of information from a sample
Sampling
Survey
q
Percentile
42. Is denoted by 'N' - is the number of data values in the population
Parameter
Independent events
Numerical measurement describing some characteristic of a sample.
Population Size
43. _______________ 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
Observational study
Exploratory data analysis
Sample Size
44. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Nominal
Stem and leaf plots
Center of Distribution
p value two tailed test
45. Is a number that describes a characteristic of a population
Dependent events
Survey
Statistic
Parameter
46. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
q
Population
Random Sample or Probability Sample
Outlier
47. Variable where the value is a number that results from a measurement process - also called numerical data
Pictograph
Numerical Variable
What symbol must always be found in H0
The effect of extreme values on the measures of center
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
Interval
Designed experiment
Graph
p value two tailed test
49. 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
Skewed Distribution
Median
S x
Alpha (a)
50. Test use normalcdf(ZTS -999)
The 4 measures of center
Sampling
Characteristic of a distribution
p value right tail