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. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Frequency histogram
Alpha (a)
Relative frequency histogram
Bias
2. Population size
s
Statistics
S x
N
3. The variable value can be represented as isolated points on a number line
Sample Size
Frequency histogram
Discrete numerical data
Representative Sample
4. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
The effect of extreme values on the measures of center
q
Percentile
Cluster sampling
5. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
p value right tail
Systematic sampling
Dependent events
Survey
6. Population proportion
s2
Exploratory data analysis
Interval
p
7. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
H1
Statistics
Inferential Statistics
8. Members of the population select themselves by volunteering
N
Self-selected sample
Categorical Variable
Continuous Data
9. Sample mean
Raw Data
x
Graph
Center of Distribution
10. To divide the population into 2 or more non-overlapping subsets called strata
Cluster sampling
Strata sampling
Statistic (note there is no 's' at the end)
Outliers
11. The number of times each data value occurs
Discrete Data
Census
Frequency
Categorical Variable
12. Sample proportion
H0
Variable
p
Interval
13. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Population Size
Bias
Ratio
Survey
14. Alternative hypothesis
H1
The 3 measures of variation
Characteristic of a distribution
Sample Size
15. Variable where the value is a number that results from a measurement process - also called numerical data
Inferential Statistics
N
Numerical Variable
Parameter
16. Test use normalcdf(ZTS -999)
p value right tail
Exploratory data analysis
n
Population
17. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Exploratory data analysis
Statistic
Ratio
Cluster sampling
18. Statistics
Pictograph
The 2 measures of relative standing
N
Numerical measurement describing some characteristic of a sample.
19. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Observational study
Interval
Inferential Statistics
Simple Random Sample
20. 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
s
Ordinal
Alpha (a)
Skewed Distribution
21. Mean - mode - median and midrange.
Range
The 4 measures of center
Statistic
Statistics
22. 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
S
Characteristic of a distribution
Pictograph
Simple Random Sample
23. 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
Random Sample or Probability Sample
Population Size
Symmetric Distribution
Ordinal
24. Data values that are either much larger or much smaller than the general body of data- they should be included in an analysis unless they are the result of human or other error
Outliers
N
Ratio
S
25. 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
Frequency histogram
Skewed Distribution
Frequency
Population
26. Standard scores and percentile
The 2 measures of relative standing
Alpha (a)
Disjoint event
Population Size
27. Is a number that describes a characteristic of a sample
Warning
: Invalid argument supplied for foreach() in
/var/www/html/basicversity.com/show_quiz.php
on line
183
28. (largest data value) - (smallest data value)
Population
Inferential Statistics
Exploratory data analysis
range
29. Represents categories - and is nonnumerical in nature
s2
Categorical Variable
p
Range
30. _______________ 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
Strata sampling
s
Distribution
Alpha (a)
31. 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
Random Sample or Probability Sample
Simple random sample
What symbol must always be found in H0
Statistics
32. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
The effect of extreme values on the measures of center
The 2 measures of relative standing
Observational study
Graph
33. Always use a equal symbol
Graph
Random Sample or Probability Sample
What symbol must always be found in H0
Data
34. Sum of the values
P(A)
Sample
S x
Percentile
35. One extreme value can affect it dramatically.
H0
The effect of extreme values on the measures of center
Center of Distribution
Simple random sample
36. Population variance
range
Survey
s2
What symbol must always be found in H0
37. Is the portion of the population that is selected for study
Sample
Ordinal
Exploratory data analysis
Nominal
38. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Disjoint event
Cluster sampling
Frequency histogram
s
39. Type of bar graph that shows frequency distributions
Frequency histogram
Data
p value two tailed test
H1
40. Is a collection of several data pertaining to one or more variables
Outliers
Symmetric Distribution
Statistics
Data Set
41. 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
Ordinal
Variable
Population
Sampling
42. Mu; population mean
Bias
Representative Sample
Data
43. 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
q
Interval
Median
p value two tailed test
44. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Independent events
Characteristic of a distribution
Dot plots
p value two tailed test
45. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistics
Categorical Variable
Statistic
s2
46. Create a sample by using data from population members that are readily available
Convenience sampling
Data Set
Systematic sampling
Statistic
47. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Outlier
Representative Sample
Survey
s
48. Is a number that describes a characteristic of a population
Parameter
p
Discrete Data
Skewed Distribution
49. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Statistic
Outlier
Bias
Dot plots
50. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Sample
n
Strata sampling