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. Population proportion
range
p
Distribution
Interval
2. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Distribution
Sample
Outlier
3. A survey that includes every item or individual of the population
Interval
Population
Skewed Distribution
Census
4. The number of times each data value occurs
Skewed Distribution
Descriptive Statistics
Alpha (a)
Frequency
5. Type II error is measured
p value left tail
range
Continuous Data
6. 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
Simple random sample
Median
Descriptive Statistics
7. Mu; population mean
Exploratory data analysis
Alpha (a)
N
8. Sample standard deviation
p value left tail
s
The 3 measures of variation
Median
9. Is the process of selecting a portion - or sample - of the entire population
Skewed Distribution
Cluster sampling
Sampling
p value right tail
10. Collection of information from a sample
s2
Population
Survey
Convenience sampling
11. To find the range subtract the lowest value by the highest value.
Outliers
Ratio
Range
Random Sample or Probability Sample
12. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
Self-selected sample
Representative Sample
p
13. A numerical quantity measuring some aspect of the population
Distribution
Symmetric Distribution
Sample Size
Parameter
14. Is a number that describes a characteristic of a population
Distribution
Descriptive Statistics
Parameter
Independent events
15. Mean - mode - median and midrange.
Statistic
range
The 4 measures of center
Continuous Data
16. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Relative frequency histogram
n
Pictograph
Numerical Variable
17. _______________ 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
Designed experiment
Distribution
Interval
H1
18. Sample size or number of trials
n
Independent events
Descriptive Statistics
Frequency histogram
19. To divide the population into 2 or more non-overlapping subsets called strata
p value left tail
Statistic (note there is no 's' at the end)
Strata sampling
s2
20. Lowercase sigma; population standard deviaition
Data
s
Ratio
Variable
21. Represents categories - and is nonnumerical in nature
range
s2
Categorical Variable
Pictograph
22. 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
23. (largest data value) - (smallest data value)
Data Set
range
Center of Distribution
Population
24. 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)
Random Sample or Probability Sample
P(A)
Parameter
25. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Raw Data
Disjoint event
Stem and leaf plots
Stem-and-Leaf display
26. Test use normalcdf(ZTS -999)
p value right tail
Interval
Random Sample or Probability Sample
range
27. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Numerical measurement describing some characteristic of a sample.
Inferential Statistics
Survey
Statistic
28. Complement of p
q
Simple random sample
Variable
Cluster sampling
29. 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
Nominal
Census
Symmetric Distribution
S
30. Can be used to get an initial graphical view of data
Numerical measurement describing some characteristic of a sample.
Sample
Convenience sampling
Dot plots
31. Population size
N
Center of Distribution
Observational study
Population
32. Sample proportion
p
Discrete Data
s2
Population
33. Information about individuals in a population
H0
Data
The 2 measures of relative standing
Variable
34. 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
n
Stem-and-Leaf display
Frequency histogram
Bias
35. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Dependent events
Graph
q
Simple Random Sample
36. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Descriptive Statistics
Raw Data
Simple Random Sample
Percentile
37. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Range
Interval
Nominal
38. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Simple random sample
Outlier
Categorical Variable
Discrete Data
39. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Numerical measurement describing some characteristics of a population.
Census
Percentile
Designed experiment
40. A collection of individuals about which we want to draw conclusions
Population
Representative Sample
Representative Sample
Data Set
41. Type of bar graph that shows frequency distributions
Frequency histogram
Stem and leaf plots
Alpha (a)
Numerical Variable
42. Population variance
s2
Sample
Numerical measurement describing some characteristics of a population.
s
43. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Stem-and-Leaf display
Inferential Statistics
Variable
Systematic sampling
44. Is the portion of the population that is selected for study
Dependent events
Symmetric Distribution
Sample
Population
45. Statistics
Numerical measurement describing some characteristic of a sample.
q
Disjoint event
Raw Data
46. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
p value two tailed test
s2
Statistic
47. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Cluster sampling
Relative frequency histogram
p value left tail
Distribution
48. One extreme value can affect it dramatically.
Inferential Statistics
Parameter
The effect of extreme values on the measures of center
Bias
49. Parameter
Inferential Statistics
P(A)
Numerical measurement describing some characteristics of a population.
S x
50. Capital sigma; summation
Simple random sample
Sample Variance
Ordinal
S