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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. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Center of Distribution
Continuous Data
The effect of extreme values on the measures of center
2. Alternative hypothesis
H1
Numerical measurement describing some characteristics of a population.
Inferential Statistics
Dependent events
3. 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
P(A)
Range
Simple Random Sample
H1
4. 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
p value left tail
Nominal
s2
Dependent events
5. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Stem-and-Leaf display
Alpha (a)
Convenience sampling
6. Complement of p
p value left tail
Numerical measurement describing some characteristic of a sample.
p value right tail
q
7. Test use normalcdf(ZTS -999)
p value right tail
Sample
n
Distribution
8. Probability of event A
P(A)
p value left tail
Pictograph
9. 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.
s
Graph
Pictograph
Representative Sample
10. _______________ 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)
H1
Distribution
Graph
11. Collection of information from a sample
Strata sampling
Parameter
n
Survey
12. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Population
Inferential Statistics
Range
x
13. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
p value right tail
S
range
14. _______________ are numerical measurements that can assume any value between two numbers
Survey
s
The 4 measures of center
Continuous Data
15. Information about individuals in a population
Data
Sample
Categorical Variable
p value right tail
16. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
The 4 measures of center
Bias
x
17. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Census
Survey
Inferential Statistics
Raw Data
18. Lowercase sigma; population standard deviaition
s
Sample Size
Random Sample or Probability Sample
Population
19. Mean - mode - median and midrange.
The 4 measures of center
p value left tail
Sample Size
Variable
20. For a left tailed test use normalcdf(-999 - ZTS)
H0
Characteristic of a distribution
Census
p value left tail
21. Collection of information from the whole population
Census
Descriptive Statistics
H1
s
22. 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
p value two tailed test
Independent events
Median
Stem and leaf plots
23. One extreme value can affect it dramatically.
Outliers
Categorical Variable
The effect of extreme values on the measures of center
Observational study
24. 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
Stem-and-Leaf display
Alpha (a)
s2
Inferential Statistics
25. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Frequency histogram
p value right tail
Bias
Self-selected sample
26. Population size
N
Self-selected sample
s
Ordinal
27. 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
Simple Random Sample
Skewed Distribution
Symmetric Distribution
Survey
28. Determine the location of the middle value of all the data values
s
Center of Distribution
N
Relative frequency histogram
29. Sum of the values
Sample Size
Statistic
S x
Sample Variance
30. _______________ are numerical values that can assume only a limited number of values
Survey
Pictograph
Discrete Data
Population
31. To divide the population into 2 or more non-overlapping subsets called strata
Sampling
Inferential Statistics
Strata sampling
Center of Distribution
32. 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
Continuous Data
Ordinal
Census
Nominal
33. 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
Ratio
Interval
Data Set
Simple random sample
34. A survey that includes every item or individual of the population
P(A)
Simple Random Sample
Population
Census
35. The important aspects of the data are called?
Random Sample or Probability Sample
s
Center of Distribution
Characteristic of a distribution
36. Mu; population mean
Pictograph
Categorical Variable
Sample Size
37. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Distribution
Cluster sampling
s2
Observational study
38. Square the standard deviation and to find the population variance square of the population standard deviation
x
Population
Sample Variance
Distribution
39. 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
The 4 measures of center
Disjoint event
p
Alpha (a)
40. 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).
The 2 measures of relative standing
Interval
Strata sampling
Numerical measurement describing some characteristic of a sample.
41. Range - standard deviation and variance.
Sample Variance
Simple Random Sample
The 3 measures of variation
Cluster sampling
42. A collection of individuals about which we want to draw conclusions
Statistic
s
Population
Median
43. Sample standard deviation
Data Set
Simple Random Sample
s
Range
44. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Observational study
Discrete Data
45. A numerical quantity measuring some aspect of the population
s2
Observational study
Parameter
Characteristic of a distribution
46. 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
n
Population
Numerical measurement describing some characteristic of a sample.
Skewed Distribution
47. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Dependent events
Bias
Survey
Cluster sampling
48. The number of times each data value occurs
Representative Sample
Sample Variance
Independent events
Frequency
49. Can be used to get an initial graphical view of data
x
Dot plots
Ratio
Categorical Variable
50. Is a number that describes a characteristic of a population
Representative Sample
Numerical measurement describing some characteristic of a sample.
Relative frequency histogram
Parameter