SUBJECTS
|
BROWSE
|
CAREER CENTER
|
POPULAR
|
JOIN
|
LOGIN
Business Skills
|
Soft Skills
|
Basic Literacy
|
Certifications
About
|
Help
|
Privacy
|
Terms
|
Email
Search
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. Null hypothesis
s
H0
Statistic
Numerical Variable
2. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Interval
Percentile
Discrete Data
Random Sample or Probability Sample
3. Members of the population select themselves by volunteering
Exploratory data analysis
Self-selected sample
Population Size
Parameter
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
Strata sampling
S
Representative Sample
Designed experiment
5. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Exploratory data analysis
The 4 measures of center
Disjoint event
Systematic sampling
6. A numerical quantity measuring some aspect of the population
Statistic (note there is no 's' at the end)
Distribution
Parameter
Simple random sample
7. 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
Alpha (a)
Strata sampling
The 3 measures of variation
Census
8. To find the range subtract the lowest value by the highest value.
Survey
Range
Skewed Distribution
What symbol must always be found in H0
9. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Skewed Distribution
Bias
Numerical measurement describing some characteristic of a sample.
Stem-and-Leaf display
10. Sample standard deviation
Survey
s
H0
S x
11. Is the process of selecting a portion - or sample - of the entire population
Interval
Exploratory data analysis
Center of Distribution
Sampling
12. A survey that includes every item or individual of the population
Cluster sampling
Dot plots
Numerical Variable
Census
13. Collection of information from the whole population
Discrete Data
Designed experiment
Census
s2
14. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
p value right tail
q
Parameter
Distribution
15. Mean - mode - median and midrange.
The 4 measures of center
Descriptive Statistics
N
Nominal
16. Is denoted by 'N' - is the number of data values in the population
Outlier
Population Size
P(A)
Parameter
17. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
p value left tail
Survey
Representative Sample
Numerical measurement describing some characteristic of a sample.
18. Can be used to get an initial graphical view of data
Dot plots
Stem and leaf plots
Categorical Variable
What symbol must always be found in H0
19. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Independent events
Graph
Data Set
Convenience sampling
20. Test use normalcdf(ZTS -999)
p value right tail
Raw Data
Sample
Population
21. The variable value can be represented as isolated points on a number line
Frequency
Variable
Discrete numerical data
Numerical Variable
22. _______________ are numerical values that can assume only a limited number of values
Discrete Data
Descriptive Statistics
Categorical Variable
Self-selected sample
23. 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
Dependent events
Symmetric Distribution
Ordinal
Continuous Data
24. Square the standard deviation and to find the population variance square of the population standard deviation
p
Ratio
Sample Variance
Designed experiment
25. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
H1
Statistic
p value two tailed test
The 2 measures of relative standing
26. Is a number that describes a characteristic of a sample
27. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
s2
q
Descriptive Statistics
Population Size
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
Statistic
Statistic
Distribution
Statistic (note there is no 's' at the end)
29. Involves the procedures associated with the data collection process - the summarizing and interpretation of data - and the drawing of inferences or conclusions based on the analysis of the data
Characteristic of a distribution
Statistics
s2
Interval
30. Is denoted by 'n' - is the number of data values in the sample
Continuous Data
Symmetric Distribution
Sample Size
s2
31. 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
Categorical Variable
s2
Skewed Distribution
Percentile
32. Population variance
Designed experiment
Outlier
Cluster sampling
s2
33. Standard scores and percentile
p value left tail
The 2 measures of relative standing
Range
Random Sample or Probability Sample
34. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Population
P(A)
Pictograph
Disjoint event
35. Type of bar graph that shows frequency distributions
Survey
Bias
Population Size
Frequency histogram
36. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Simple random sample
Continuous Data
p value left tail
37. 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
Ordinal
Survey
Median
Bias
38. Represents categories - and is nonnumerical in nature
Cluster sampling
Categorical Variable
Strata sampling
Systematic sampling
39. Collection of information from a sample
Raw Data
Survey
q
Numerical measurement describing some characteristics of a population.
40. 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
Systematic sampling
Exploratory data analysis
Statistics
Simple random sample
41. Sample variance
What symbol must always be found in H0
Range
s2
H1
42. Occur when one of them affects the probability of the other.
Relative frequency histogram
Categorical Variable
Dependent events
Sample
43. Sample proportion
p
p value right tail
Variable
Dot plots
44. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Statistic
What symbol must always be found in H0
Inferential Statistics
p value two tailed test
45. Complement of p
N
Representative Sample
What symbol must always be found in H0
q
46. Is the entire collection of all individuals or objects of interest
p value two tailed test
Raw Data
Population
H0
47. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Numerical Variable
Percentile
Cluster sampling
Statistic
48. 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).
Symmetric Distribution
Simple random sample
Median
Interval
49. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Sample
Parameter
Disjoint event
Observational study
50. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
N
Outlier
p