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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. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Alpha (a)
Statistic
Pictograph
Descriptive Statistics
2. Members of the population select themselves by volunteering
The effect of extreme values on the measures of center
Statistics
Skewed Distribution
Self-selected sample
3. Population size
Ratio
Pictograph
N
Parameter
4. A numerical quantity measuring some aspect of the population
Sample Size
Parameter
Statistic
Cluster sampling
5. Population variance
The effect of extreme values on the measures of center
Variable
Symmetric Distribution
s2
6. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Sample
H0
Representative Sample
Distribution
7. Always use a equal symbol
n
What symbol must always be found in H0
Census
Median
8. To find the range subtract the lowest value by the highest value.
Dot plots
Range
Ordinal
Nominal
9. Sample variance
s2
Discrete Data
Dependent events
Ratio
10. Sum of the values
Variable
S x
Median
P(A)
11. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
p
Self-selected sample
Inferential Statistics
Percentile
12. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Median
Representative Sample
Ordinal
Graph
13. 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
Symmetric Distribution
H1
Disjoint event
Graph
14. Represents categories - and is nonnumerical in nature
Frequency histogram
Categorical Variable
s
Statistic (note there is no 's' at the end)
15. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Skewed Distribution
Variable
Survey
s2
16. Is the portion of the population that is selected for study
Census
Survey
Relative frequency histogram
Sample
17. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Strata sampling
Exploratory data analysis
The 3 measures of variation
18. The number of times each data value occurs
Pictograph
Census
Frequency
p value right tail
19. Occur when one of them affects the probability of the other.
p value two tailed test
The 2 measures of relative standing
Population
Dependent events
20. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Representative Sample
Inferential Statistics
Statistic
p value two tailed test
21. 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
p
Alpha (a)
Distribution
22. Mean - mode - median and midrange.
H1
The 4 measures of center
Pictograph
Designed experiment
23. Create a sample by using data from population members that are readily available
H1
Frequency histogram
Convenience sampling
Nominal
24. Parameter
Numerical measurement describing some characteristics of a population.
n
Sample Size
H0
25. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
The 3 measures of variation
Numerical measurement describing some characteristics of a population.
Bias
Inferential Statistics
26. Collection of information from a sample
s
Survey
Sample
S
27. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
q
Designed experiment
The 3 measures of variation
Numerical measurement describing some characteristics of a population.
28. Using graphs and numerical summaries to describe variables in a data set and their relationship
Convenience sampling
Stem and leaf plots
Exploratory data analysis
Census
29. Collection of information from the whole population
Census
Continuous Data
Survey
Frequency histogram
30. Type II error is measured
Parameter
Raw Data
Representative Sample
31. Statistics
Sample
Numerical measurement describing some characteristic of a sample.
Symmetric Distribution
Descriptive Statistics
32. To divide the population into 2 or more non-overlapping subsets called strata
Outlier
Strata sampling
Distribution
Descriptive Statistics
33. _______________ are numerical values that can assume only a limited number of values
Distribution
Pictograph
n
Discrete Data
34. 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
The 3 measures of variation
Stem-and-Leaf display
Nominal
Raw Data
35. (largest data value) - (smallest data value)
Ratio
Discrete numerical data
range
36. 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
Random Sample or Probability Sample
Symmetric Distribution
Distribution
Data
37. 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
Raw Data
Statistics
H0
Stem and leaf plots
38. Determine the location of the middle value of all the data values
Census
n
Numerical measurement describing some characteristics of a population.
Center of Distribution
39. Square the standard deviation and to find the population variance square of the population standard deviation
Graph
Sample Variance
The 3 measures of variation
Center of Distribution
40. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Frequency
n
Data Set
Statistic
41. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Strata sampling
The effect of extreme values on the measures of center
Independent events
42. Alternative hypothesis
The 2 measures of relative standing
H1
Census
P(A)
43. 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
Random Sample or Probability Sample
S
Simple Random Sample
Distribution
44. _______________ 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
Symmetric Distribution
Distribution
Population
Self-selected sample
45. Complement of p
The 4 measures of center
Frequency
q
Frequency histogram
46. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Numerical measurement describing some characteristic of a sample.
Statistics
Characteristic of a distribution
Cluster sampling
47. Sample size or number of trials
p value right tail
s2
n
s2
48. A survey that includes every item or individual of the population
Numerical Variable
Census
Interval
Sampling
49. Is a sample containing similar characteristics of the population
Frequency histogram
Variable
P(A)
Representative Sample
50. Is a number that describes a characteristic of a population
Exploratory data analysis
Self-selected sample
Parameter
Characteristic of a distribution