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. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
Representative Sample
Graph
x
2. To find the range subtract the lowest value by the highest value.
Population
Strata sampling
q
Range
3. Occur when one of them affects the probability of the other.
Dependent events
s2
Raw Data
Statistic
4. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Survey
Parameter
Categorical Variable
Disjoint event
5. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Continuous Data
p value right tail
Skewed Distribution
6. Type II error is measured
What symbol must always be found in H0
Outliers
s
7. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Relative frequency histogram
Discrete numerical data
Alpha (a)
8. A subset of the population- it's important to choose a sample at random to avoid bias in the results
range
S
Discrete numerical data
Sample
9. _______________ are numerical values that can assume only a limited number of values
Discrete Data
s
Median
Ordinal
10. Test use normalcdf(ZTS -999)
p value right tail
Statistic (note there is no 's' at the end)
s2
P(A)
11. Sample size or number of trials
Stem-and-Leaf display
n
Symmetric Distribution
Numerical measurement describing some characteristic of a sample.
12. A collection of individuals about which we want to draw conclusions
The 3 measures of variation
Discrete numerical data
Population
Census
13. 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
H0
Exploratory data analysis
Statistics
Raw Data
14. Is a sample containing similar characteristics of the population
Outliers
Data
Representative Sample
H1
15. Is the portion of the population that is selected for study
Independent events
Outlier
Sample
Statistic
16. Mu; population mean
Statistics
The 3 measures of variation
p value left tail
17. 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
Population
Ordinal
Sample Size
Raw Data
18. Determine the location of the middle value of all the data values
Center of Distribution
Observational study
Population
Inferential Statistics
19. Probability of event A
P(A)
Frequency
Numerical measurement describing some characteristic of a sample.
Numerical measurement describing some characteristics of a population.
20. Alternative hypothesis
p
p value right tail
H1
Raw Data
21. Type of information - usually a property of characteristic of a person or thing that is measured or observed
H0
Characteristic of a distribution
S x
Variable
22. Is the process of selecting a portion - or sample - of the entire population
Descriptive Statistics
Sampling
s2
Distribution
23. 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
24. Complement of p
x
q
Census
Characteristic of a distribution
25. (largest data value) - (smallest data value)
Variable
range
Cluster sampling
26. Square the standard deviation and to find the population variance square of the population standard deviation
Representative Sample
Symmetric Distribution
p
Sample Variance
27. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Statistic (note there is no 's' at the end)
Survey
s2
Simple random sample
28. Statistics
Numerical measurement describing some characteristic of a sample.
Cluster sampling
Ordinal
Designed experiment
29. 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
Center of Distribution
The effect of extreme values on the measures of center
Simple Random Sample
Numerical Variable
30. For a left tailed test use normalcdf(-999 - ZTS)
Alpha (a)
p value left tail
Simple Random Sample
Discrete Data
31. Using graphs and numerical summaries to describe variables in a data set and their relationship
Census
Numerical measurement describing some characteristics of a population.
S x
Exploratory data analysis
32. Population size
Categorical Variable
N
Data
33. Before they are arranged or analyzed - information or observations are called________.
p
Raw Data
Designed experiment
Categorical Variable
34. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
p
Continuous Data
Census
35. Standard scores and percentile
The 2 measures of relative standing
Ratio
Numerical Variable
Median
36. Information about individuals in a population
Variable
Data
Raw Data
Distribution
37. 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)
Frequency histogram
Sample Size
S
38. The important aspects of the data are called?
Ratio
s2
Characteristic of a distribution
Designed experiment
39. Is a number that describes a characteristic of a population
Alpha (a)
Range
Parameter
Descriptive Statistics
40. Lowercase sigma; population standard deviaition
Parameter
Nominal
s
Designed experiment
41. 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
Median
Statistic
Data
Skewed Distribution
42. Capital sigma; summation
Parameter
Dependent events
S
Designed experiment
43. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Range
Census
Alpha (a)
44. Mean - mode - median and midrange.
Dependent events
Cluster sampling
The 4 measures of center
p value two tailed test
45. Is the entire collection of all individuals or objects of interest
Frequency histogram
Distribution
Population
range
46. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Data
Dot plots
p value two tailed test
47. 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).
Raw Data
Random Sample or Probability Sample
Interval
Descriptive Statistics
48. Sum of the values
The 2 measures of relative standing
S x
Numerical measurement describing some characteristic of a sample.
Sample Variance
49. Members of the population select themselves by volunteering
Self-selected sample
S
Strata sampling
Inferential Statistics
50. Sample proportion
Dot plots
p
Relative frequency histogram