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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. Population proportion
N
Survey
Population Size
p
2. To find the range subtract the lowest value by the highest value.
S
Numerical Variable
Frequency
Range
3. _______________ 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
Variable
Sample Size
p value left tail
Distribution
4. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Symmetric Distribution
Stem-and-Leaf display
Graph
Statistic (note there is no 's' at the end)
5. Sample variance
Stem and leaf plots
Center of Distribution
Distribution
s2
6. Sample mean
x
Survey
Numerical measurement describing some characteristics of a population.
Bias
7. 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.
Parameter
p value two tailed test
Pictograph
Representative Sample
8. Occur when one does not affect the probability of the occurrence of the other.
Descriptive Statistics
Independent events
Characteristic of a distribution
The 4 measures of center
9. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Range
Survey
Designed experiment
S
10. Population variance
Symmetric Distribution
s2
Relative frequency histogram
Numerical measurement describing some characteristics of a population.
11. (largest data value) - (smallest data value)
p value left tail
Outlier
range
Strata sampling
12. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Cluster sampling
Sampling
Ratio
13. Is the portion of the population that is selected for study
Graph
S
The effect of extreme values on the measures of center
Sample
14. Determine the location of the middle value of all the data values
Center of Distribution
Percentile
Categorical Variable
Sample
15. A numerical quantity measuring some aspect of the population
Statistic
Parameter
Independent events
q
16. Standard scores and percentile
x
Center of Distribution
The 2 measures of relative standing
Range
17. 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
Median
Symmetric Distribution
H1
Exploratory data analysis
18. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
The effect of extreme values on the measures of center
p value two tailed test
Parameter
19. Mean - mode - median and midrange.
Numerical measurement describing some characteristic of a sample.
The 4 measures of center
s
Sampling
20. Is denoted by 'N' - is the number of data values in the population
Descriptive Statistics
Census
Population Size
Pictograph
21. Before they are arranged or analyzed - information or observations are called________.
Range
Representative Sample
Statistic
Raw Data
22. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Frequency
s2
Sampling
23. Capital sigma; summation
p
S
Random Sample or Probability Sample
Ordinal
24. Is denoted by 'n' - is the number of data values in the sample
Distribution
Numerical Variable
Sample Size
s
25. Is a sample containing similar characteristics of the population
S x
Representative Sample
Frequency
Center of Distribution
26. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
s
Systematic sampling
Data
Relative frequency histogram
27. 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
p value right tail
Ordinal
The effect of extreme values on the measures of center
The 3 measures of variation
28. _______________ are numerical measurements that can assume any value between two numbers
Descriptive Statistics
Raw Data
Continuous Data
29. One extreme value can affect it dramatically.
The effect of extreme values on the measures of center
Stem-and-Leaf display
S x
Statistic (note there is no 's' at the end)
30. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Graph
Numerical measurement describing some characteristic of a sample.
The effect of extreme values on the measures of center
31. Always use a equal symbol
Sampling
Population
What symbol must always be found in H0
Statistic
32. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
q
Pictograph
Percentile
Outlier
33. 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
Sample Size
Data
Skewed Distribution
Population Size
34. 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 effect of extreme values on the measures of center
Simple Random Sample
Systematic sampling
Data Set
35. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
The effect of extreme values on the measures of center
Sample Size
Relative frequency histogram
Survey
36. The number of times each data value occurs
S
Frequency
Numerical measurement describing some characteristic of a sample.
Population Size
37. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Data
Outlier
Discrete Data
38. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Observational study
Stem and leaf plots
s
Discrete numerical data
39. Type of bar graph that shows frequency distributions
Frequency histogram
s
Exploratory data analysis
40. Using graphs and numerical summaries to describe variables in a data set and their relationship
Survey
Systematic sampling
Exploratory data analysis
Dot plots
41. Complement of p
p
q
Symmetric Distribution
42. Alternative hypothesis
Nominal
H1
Sample Variance
range
43. Probability of event A
S x
P(A)
Relative frequency histogram
S
44. Type II error is measured
s2
Discrete Data
Exploratory data analysis
45. A collection of individuals about which we want to draw conclusions
p value left tail
Population
Bias
Designed experiment
46. Test use normalcdf(ZTS -999)
p value right tail
Interval
Observational study
Characteristic of a distribution
47. 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
Statistic
Descriptive Statistics
p value two tailed test
48. 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
P(A)
Representative Sample
Population Size
Ratio
49. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Ordinal
n
Observational study
50. Is the entire collection of all individuals or objects of interest
Sample Variance
Population
p
Independent events