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Test your basic knowledge |
DSST Intro To Statistics
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Subjects
:
dsst
,
statistics
Instructions:
Answer 50 questions in 15 minutes.
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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 size or number of trials
s
Independent events
n
Median
2. For a left tailed test use normalcdf(-999 - ZTS)
Distribution
Convenience sampling
p value left tail
Nominal
3. Occur when one of them affects the probability of the other.
Dependent events
Raw Data
Ratio
p
4. Always use a equal symbol
Disjoint event
Relative frequency histogram
What symbol must always be found in H0
Census
5. Occur when one does not affect the probability of the occurrence of the other.
Skewed Distribution
Representative Sample
Independent events
Variable
6. 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
Percentile
Parameter
Sampling
Random Sample or Probability Sample
7. The variable value can be represented as isolated points on a number line
Discrete numerical data
Categorical Variable
Symmetric Distribution
Cluster sampling
8. Is the entire collection of all individuals or objects of interest
Representative Sample
p value two tailed test
Population
Symmetric Distribution
9. 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
Ratio
p
Alpha (a)
s
10. Probability of event A
Census
P(A)
Discrete numerical data
s2
11. Alternative hypothesis
Data Set
Census
Distribution
H1
12. Collection of information from the whole population
Census
Disjoint event
Strata sampling
Survey
13. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Frequency histogram
Nominal
Disjoint event
14. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Random Sample or Probability Sample
The effect of extreme values on the measures of center
Distribution
Sample
15. Sample proportion
p
Discrete Data
Representative Sample
Data
16. Range - standard deviation and variance.
p value right tail
Stem and leaf plots
Outlier
The 3 measures of variation
17. 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
Ordinal
Raw Data
Discrete numerical data
Percentile
18. A collection of individuals about which we want to draw conclusions
Sample Variance
Stem-and-Leaf display
Population
Frequency
19. Parameter
Observational study
Variable
Sample Size
Numerical measurement describing some characteristics of a population.
20. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
S x
Simple Random Sample
Inferential Statistics
Numerical measurement describing some characteristic of a sample.
21. Before they are arranged or analyzed - information or observations are called________.
The effect of extreme values on the measures of center
Raw Data
Census
H1
22. _______________ 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
Alpha (a)
Distribution
Continuous Data
23. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Independent events
Designed experiment
Statistic
s
24. 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
Skewed Distribution
range
Designed experiment
Interval
25. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Representative Sample
Simple Random Sample
Alpha (a)
Statistic
26. 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
Systematic sampling
p value right tail
Simple Random Sample
Categorical Variable
27. 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.
x
Nominal
Pictograph
Center of Distribution
28. Type of bar graph that shows frequency distributions
Statistic
Frequency histogram
S x
Graph
29. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
s2
Descriptive Statistics
Numerical Variable
p value left tail
30. A numerical quantity measuring some aspect of the population
Discrete numerical data
Stem and leaf plots
Cluster sampling
Parameter
31. Type II error is measured
Sampling
Simple Random Sample
Categorical Variable
32. Statistics
Frequency histogram
Numerical measurement describing some characteristic of a sample.
p
Representative Sample
33. Is the process of selecting a portion - or sample - of the entire population
s
Sample Variance
Discrete numerical data
Sampling
34. _______________ are numerical measurements that can assume any value between two numbers
p value right tail
Continuous Data
Strata sampling
s
35. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Distribution
Simple random sample
Survey
Percentile
36. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Descriptive Statistics
s
Frequency
37. 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
Representative Sample
p value left tail
Outliers
Sample Variance
38. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Stem and leaf plots
Representative Sample
Survey
q
39. Is a number that describes a characteristic of a population
Parameter
Statistic
Observational study
Strata sampling
40. Is the portion of the population that is selected for study
p value right tail
Sample
Population
Strata sampling
41. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
s2
Strata sampling
Skewed Distribution
Cluster sampling
42. To find the range subtract the lowest value by the highest value.
Random Sample or Probability Sample
Convenience sampling
Categorical Variable
Range
43. Standard scores and percentile
Skewed Distribution
Pictograph
The 2 measures of relative standing
Center of Distribution
44. 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
Data Set
H0
Symmetric Distribution
Parameter
45. 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
Numerical measurement describing some characteristics of a population.
Statistics
Percentile
Simple Random Sample
46. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Population
Disjoint event
Raw Data
Variable
47. Lowercase sigma; population standard deviaition
s
Bias
Numerical measurement describing some characteristics of a population.
Statistic (note there is no 's' at the end)
48. Test use normalcdf(ZTS -999)
p value right tail
Population Size
Frequency histogram
Strata sampling
49. A survey that includes every item or individual of the population
Inferential Statistics
Exploratory data analysis
Census
Discrete numerical data
50. Sample mean
H0
x
S x
Stem-and-Leaf display
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