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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 variance
Skewed Distribution
s2
Pictograph
Ordinal
2. Population proportion
p
Inferential Statistics
Statistic
Nominal
3. A numerical quantity measuring some aspect of the population
Sampling
Parameter
s
Variable
4. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Parameter
Designed experiment
Observational study
Numerical measurement describing some characteristics of a population.
5. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Disjoint event
P(A)
Sample
Survey
6. 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.
Pictograph
Data Set
Numerical measurement describing some characteristics of a population.
s2
7. 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).
Skewed Distribution
Center of Distribution
x
Interval
8. 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
Stem and leaf plots
Sample Size
Alpha (a)
Interval
9. Population size
Statistic
Distribution
Numerical Variable
N
10. 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
Exploratory data analysis
Stem-and-Leaf display
Pictograph
Discrete numerical data
11. Is denoted by 'N' - is the number of data values in the population
Population Size
Survey
Distribution
Random Sample or Probability Sample
12. Range - standard deviation and variance.
Discrete Data
Census
The 3 measures of variation
S x
13. Sample proportion
s2
Outliers
p
14. Type II error is measured
p value two tailed test
Simple Random Sample
S
15. The variable value can be represented as isolated points on a number line
Discrete numerical data
Sample
Nominal
Discrete Data
16. Variable where the value is a number that results from a measurement process - also called numerical data
Representative Sample
Simple Random Sample
p value two tailed test
Numerical Variable
17. 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
Stem-and-Leaf display
Stem and leaf plots
Skewed Distribution
Raw Data
18. Represents categories - and is nonnumerical in nature
Continuous Data
Data
P(A)
Categorical Variable
19. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
Designed experiment
Population Size
n
20. Information about individuals in a population
Numerical Variable
Survey
Systematic sampling
Data
21. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Independent events
Graph
Statistic
Median
22. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Statistics
Representative Sample
Cluster sampling
Statistic
23. Mu; population mean
Inferential Statistics
Cluster sampling
p
24. Sample standard deviation
s
x
Inferential Statistics
Stem-and-Leaf display
25. To divide the population into 2 or more non-overlapping subsets called strata
Dependent events
Strata sampling
Range
26. Can be used to get an initial graphical view of data
Designed experiment
Dot plots
q
Categorical Variable
27. _______________ are numerical values that can assume only a limited number of values
Descriptive Statistics
Discrete Data
Sample
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
Sample Variance
What symbol must always be found in H0
Self-selected sample
29. 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
Statistics
Convenience sampling
Nominal
Characteristic of a distribution
30. Population variance
Sample
Categorical Variable
Dependent events
s2
31. Statistics
Census
Descriptive Statistics
Numerical measurement describing some characteristic of a sample.
s2
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
S x
Simple random sample
Sample
Numerical Variable
33. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Simple random sample
Population
Observational study
H0
34. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Interval
S x
Ratio
Percentile
35. Occur when one does not affect the probability of the occurrence of the other.
H0
p value right tail
Independent events
Simple random sample
36. Sample mean
p value two tailed test
x
Ordinal
Variable
37. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
s2
Descriptive Statistics
Stem-and-Leaf display
Raw Data
38. To find the range subtract the lowest value by the highest value.
Characteristic of a distribution
Parameter
p value two tailed test
Range
39. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Parameter
Systematic sampling
Statistic
Convenience sampling
40. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Outliers
Self-selected sample
N
41. (largest data value) - (smallest data value)
Characteristic of a distribution
range
Sample
H0
42. _______________ are numerical measurements that can assume any value between two numbers
Disjoint event
Survey
Convenience sampling
Continuous Data
43. 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
Variable
Range
Systematic sampling
44. Collection of information from a sample
Dependent events
p value two tailed test
Survey
Outlier
45. Null hypothesis
p value left tail
H0
Designed experiment
Graph
46. A survey that includes every item or individual of the population
Strata sampling
Sample Size
Census
Numerical measurement describing some characteristics of a population.
47. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Representative Sample
Raw Data
Disjoint event
48. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Categorical Variable
The 4 measures of center
P(A)
Survey
49. Create a sample by using data from population members that are readily available
Skewed Distribution
Convenience sampling
Stem and leaf plots
Survey
50. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
Stem and leaf plots
Numerical Variable
Graph