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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. Statistics
Discrete numerical data
Numerical measurement describing some characteristic of a sample.
Distribution
What symbol must always be found in H0
2. Population size
p value two tailed test
Random Sample or Probability Sample
Simple Random Sample
N
3. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Discrete numerical data
Population
Nominal
Bias
4. To find the range subtract the lowest value by the highest value.
Range
H1
What symbol must always be found in H0
Representative Sample
5. Is denoted by 'N' - is the number of data values in the population
p value left tail
Population Size
Interval
Relative frequency histogram
6. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Pictograph
The 4 measures of center
S
7. Is a collection of several data pertaining to one or more variables
Center of Distribution
Data Set
p
Inferential Statistics
8. Members of the population select themselves by volunteering
Ratio
Self-selected sample
What symbol must always be found in H0
Descriptive Statistics
9. 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
Symmetric Distribution
Discrete Data
Ratio
Convenience sampling
10. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
The 4 measures of center
Census
p value two tailed test
11. Square the standard deviation and to find the population variance square of the population standard deviation
H0
Frequency
Center of Distribution
Sample Variance
12. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
S x
Bias
q
13. Mu; population mean
Dot plots
The 3 measures of variation
Range
14. 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
Raw Data
Parameter
Symmetric Distribution
Dependent events
15. _______________ are numerical measurements that can assume any value between two numbers
Median
Continuous Data
Parameter
Statistics
16. Complement of p
The 4 measures of center
q
Distribution
Graph
17. Test use normalcdf(ZTS -999)
Distribution
p value right tail
Data
Center of Distribution
18. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Census
Ratio
Survey
The effect of extreme values on the measures of center
19. Sample variance
Distribution
Median
s2
Nominal
20. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Numerical Variable
Convenience sampling
Statistic
Median
21. Capital sigma; summation
Ratio
S
Center of Distribution
Population
22. Occur when one does not affect the probability of the occurrence of the other.
Discrete numerical data
Independent events
What symbol must always be found in H0
Alpha (a)
23. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Random Sample or Probability Sample
Observational study
Relative frequency histogram
Ordinal
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
s2
Representative Sample
S
25. Type of bar graph that shows frequency distributions
s
N
Frequency histogram
Data Set
26. Sample mean
Self-selected sample
x
Parameter
N
27. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Statistic (note there is no 's' at the end)
Alpha (a)
Descriptive Statistics
Characteristic of a distribution
28. Range - standard deviation and variance.
Variable
The 3 measures of variation
Bias
The 4 measures of center
29. 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
Sample Variance
Distribution
Median
Raw Data
30. Occur when one of them affects the probability of the other.
Dependent events
Statistic
S x
Frequency
31. Sample size or number of trials
Frequency
Sample Size
Disjoint event
n
32. Mean - mode - median and midrange.
Strata sampling
Systematic sampling
The 4 measures of center
Inferential Statistics
33. Is a number that describes a characteristic of a population
Frequency histogram
Parameter
Inferential Statistics
Frequency
34. The variable value can be represented as isolated points on a number line
Sample Variance
Convenience sampling
Discrete numerical data
Sample
35. Before they are arranged or analyzed - information or observations are called________.
Raw Data
p
Range
Statistic
36. The important aspects of the data are called?
Bias
Characteristic of a distribution
Random Sample or Probability Sample
37. Standard scores and percentile
s2
The 2 measures of relative standing
Median
Distribution
38. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Disjoint event
Population Size
Graph
Dependent events
39. Population proportion
p
The 4 measures of center
Statistic (note there is no 's' at the end)
s2
40. Parameter
s2
Population
Numerical measurement describing some characteristics of a population.
p
41. Lowercase sigma; population standard deviaition
Center of Distribution
Continuous Data
s
Observational study
42. A collection of individuals about which we want to draw conclusions
Simple Random Sample
Random Sample or Probability Sample
Graph
Population
43. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
N
Interval
Percentile
Discrete Data
44. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Raw Data
Parameter
p value two tailed test
The effect of extreme values on the measures of center
45. Is the portion of the population that is selected for study
Statistic (note there is no 's' at the end)
Sample
p value two tailed test
s2
46. 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
Simple Random Sample
Cluster sampling
H0
Parameter
47. 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.
Frequency
H1
The 3 measures of variation
Pictograph
48. 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
Center of Distribution
p
Simple random sample
Census
49. Represents categories - and is nonnumerical in nature
Categorical Variable
s
Random Sample or Probability Sample
Designed experiment
50. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Percentile
Random Sample or Probability Sample
Numerical measurement describing some characteristic of a sample.
Representative Sample