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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. 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.
Strata sampling
Data Set
Inferential Statistics
Pictograph
2. Standard scores and percentile
The 2 measures of relative standing
n
Sample
Distribution
3. Is a sample containing similar characteristics of the population
Pictograph
Relative frequency histogram
Observational study
Representative Sample
4. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
s2
Discrete Data
Inferential Statistics
What symbol must always be found in H0
5. Collection of information from a sample
H1
Nominal
Survey
P(A)
6. Range - standard deviation and variance.
Ratio
Alpha (a)
The 3 measures of variation
Statistic (note there is no 's' at the end)
7. Members of the population select themselves by volunteering
Range
Characteristic of a distribution
Self-selected sample
Interval
8. _______________ are numerical measurements that can assume any value between two numbers
Median
Continuous Data
S x
Numerical measurement describing some characteristics of a population.
9. The variable value can be represented as isolated points on a number line
Inferential Statistics
Continuous Data
Discrete numerical data
The 3 measures of variation
10. Type II error is measured
s
p value right tail
Interval
11. Type of bar graph that shows frequency distributions
Sample
p value two tailed test
Frequency histogram
Median
12. Mean - mode - median and midrange.
P(A)
Ratio
The 4 measures of center
Parameter
13. Create a sample by using data from population members that are readily available
Convenience sampling
p value right tail
Observational study
Sample
14. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Graph
Variable
Sample Variance
Population
15. 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).
Interval
Strata sampling
Descriptive Statistics
Numerical Variable
16. 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
S
p
Simple random sample
Nominal
17. One extreme value can affect it dramatically.
Variable
Convenience sampling
The 2 measures of relative standing
The effect of extreme values on the measures of center
18. Represents categories - and is nonnumerical in nature
Categorical Variable
Relative frequency histogram
Frequency
Strata sampling
19. A collection of individuals about which we want to draw conclusions
Continuous Data
Population
Strata sampling
20. Probability of event A
P(A)
Self-selected sample
Sample
p
21. Capital sigma; summation
S
Outliers
Population
Relative frequency histogram
22. 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
Survey
Representative Sample
The effect of extreme values on the measures of center
Skewed Distribution
23. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Parameter
Skewed Distribution
Sample
Disjoint event
24. (largest data value) - (smallest data value)
Exploratory data analysis
Population
range
p value two tailed test
25. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Census
Convenience sampling
Disjoint event
26. Sample variance
s2
Discrete Data
Pictograph
The effect of extreme values on the measures of center
27. Occur when one of them affects the probability of the other.
Cluster sampling
s2
Dependent events
range
28. Is denoted by 'n' - is the number of data values in the sample
Survey
s2
Data Set
Sample Size
29. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Representative Sample
Census
Data
30. 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
x
Disjoint event
Alpha (a)
What symbol must always be found in H0
31. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Interval
Observational study
Frequency histogram
H1
32. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Statistic
Sample Size
Population Size
33. Is a collection of several data pertaining to one or more variables
Data Set
Simple Random Sample
Statistic
Skewed Distribution
34. Before they are arranged or analyzed - information or observations are called________.
Random Sample or Probability Sample
Sample
range
Raw Data
35. To divide the population into 2 or more non-overlapping subsets called strata
Convenience sampling
Strata sampling
N
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
N
Random Sample or Probability Sample
Simple Random Sample
Descriptive Statistics
37. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Percentile
p value right tail
Sample
Stem and leaf plots
38. The number of times each data value occurs
s
Frequency
Ratio
Parameter
39. Population proportion
p
Data
x
Categorical Variable
40. Using graphs and numerical summaries to describe variables in a data set and their relationship
Data
Median
Exploratory data analysis
q
41. Always use a equal symbol
Population Size
What symbol must always be found in H0
Variable
Stem-and-Leaf display
42. A survey that includes every item or individual of the population
Symmetric Distribution
Survey
Population
Census
43. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Ordinal
x
Symmetric Distribution
Representative Sample
44. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
Inferential Statistics
Strata sampling
Frequency histogram
45. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Ratio
Alpha (a)
P(A)
46. Complement of p
Categorical Variable
Center of Distribution
q
Representative Sample
47. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Designed experiment
Percentile
Random Sample or Probability Sample
48. 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
Distribution
Self-selected sample
Simple Random Sample
The 2 measures of relative standing
49. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Observational study
x
Relative frequency histogram
Census
50. Can be used to get an initial graphical view of data
Dot plots
Symmetric Distribution
Categorical Variable
Nominal