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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. Sample mean
Statistic
The 4 measures of center
x
Sample
2. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Numerical measurement describing some characteristics of a population.
Representative Sample
Distribution
s2
3. The number of times each data value occurs
Frequency
H1
Disjoint event
4. 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
Categorical Variable
S
s2
5. Sample standard deviation
Inferential Statistics
p value right tail
s
Frequency histogram
6. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Sample
Independent events
Categorical Variable
Outlier
7. Complement of p
range
Dependent events
q
Ratio
8. _______________ are numerical values that can assume only a limited number of values
Outlier
Sample
Discrete Data
p value left tail
9. Middle value of a set of data values after they've been arranged in numerical order - 1. First arrange data values in numerical order 2. For odd # of data values - the median is the middle data value 3. For even # of data values - the median is the m
Cluster sampling
N
Median
p value two tailed test
10. Information about individuals in a population
Parameter
Convenience sampling
Data
Frequency
11. Occur when one does not affect the probability of the occurrence of the other.
Skewed Distribution
Independent events
Distribution
12. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Self-selected sample
Inferential Statistics
Survey
13. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
p
s
Dependent events
14. Before they are arranged or analyzed - information or observations are called________.
Distribution
Raw Data
Statistics
p value two tailed test
15. One extreme value can affect it dramatically.
s2
s2
Sample Variance
The effect of extreme values on the measures of center
16. Members of the population select themselves by volunteering
Statistics
Discrete Data
Representative Sample
Self-selected sample
17. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
H0
Cluster sampling
Bias
Systematic sampling
18. Test use normalcdf(ZTS -999)
p
range
p value right tail
Outliers
19. To divide the population into 2 or more non-overlapping subsets called strata
Systematic sampling
Strata sampling
Representative Sample
S x
20. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Population Size
Percentile
Characteristic of a distribution
Inferential Statistics
21. Collection of information from the whole population
Cluster sampling
The effect of extreme values on the measures of center
Outlier
Census
22. 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
S x
Population
Convenience sampling
Stem-and-Leaf display
23. Probability of event A
P(A)
Observational study
Discrete numerical data
Parameter
24. Variable where the value is a number that results from a measurement process - also called numerical data
Outlier
Stem and leaf plots
Numerical Variable
Designed experiment
25. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Descriptive Statistics
Disjoint event
Self-selected sample
Sample
26. The variable value can be represented as isolated points on a number line
Independent events
Range
Descriptive Statistics
Discrete numerical data
27. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Sample Variance
Variable
Numerical measurement describing some characteristic of a sample.
Numerical measurement describing some characteristics of a population.
28. _______________ 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
N
Sample Size
Population
29. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Numerical measurement describing some characteristic of a sample.
Observational study
p
Designed experiment
30. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Convenience sampling
Systematic sampling
Population
p value two tailed test
31. Sample variance
Cluster sampling
s2
Data Set
Stem-and-Leaf display
32. 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
Numerical Variable
H1
Independent events
Simple random sample
33. The important aspects of the data are called?
Sample Size
H0
Characteristic of a distribution
Raw Data
34. Sample size or number of trials
n
Survey
q
Dot plots
35. 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
Categorical Variable
Statistic (note there is no 's' at the end)
Distribution
Ratio
36. 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
Strata sampling
Representative Sample
Alpha (a)
Continuous Data
37. 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
s2
Random Sample or Probability Sample
Population
Discrete Data
38. Range - standard deviation and variance.
Census
The 3 measures of variation
Discrete numerical data
n
39. Type of bar graph that shows frequency distributions
Stem-and-Leaf display
x
Statistics
Frequency histogram
40. Population size
Survey
N
Sample Size
Cluster sampling
41. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Raw Data
The effect of extreme values on the measures of center
42. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Discrete Data
Census
Sample Size
Cluster sampling
43. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
What symbol must always be found in H0
Exploratory data analysis
Distribution
Bias
44. Sum of the values
Survey
S x
Statistics
Ratio
45. 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
Nominal
Categorical Variable
Strata sampling
46. Create a sample by using data from population members that are readily available
Outlier
Convenience sampling
Sample
p value two tailed test
47. Can be used to get an initial graphical view of data
Stem-and-Leaf display
Ordinal
Parameter
Dot plots
48. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Designed experiment
Range
The 2 measures of relative standing
49. Type II error is measured
p
Sample Variance
p value left tail
50. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).
Statistic
Sampling
Center of Distribution
Interval