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. Sample variance
q
Statistic (note there is no 's' at the end)
Median
s2
2. _______________ 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
P(A)
Numerical measurement describing some characteristic of a sample.
Symmetric Distribution
3. Sample size or number of trials
n
Strata sampling
p value right tail
Sample
4. Level of measurement- Is the interval level modified to include the inherent zero starting point (where zero indicates that none of the quantity is present). For values at this level - differences and ratios are both meaningful. (Example) Ages of sur
s
Ratio
Dependent events
5. Is a number that describes a characteristic of a population
Range
Statistics
Parameter
Frequency histogram
6. Represents categories - and is nonnumerical in nature
Sampling
Continuous Data
Categorical Variable
Raw Data
7. 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
Discrete numerical data
Dependent events
Data
Median
8. Parameter
Numerical measurement describing some characteristics of a population.
Range
Statistic
Random Sample or Probability Sample
9. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Simple random sample
Sample
Representative Sample
10. Is the entire collection of all individuals or objects of interest
Pictograph
Population
Statistic (note there is no 's' at the end)
Ratio
11. Complement of p
q
The 2 measures of relative standing
Descriptive Statistics
S x
12. (largest data value) - (smallest data value)
s2
Frequency
range
Discrete Data
13. Collection of information from a sample
Sampling
Disjoint event
Survey
p
14. 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
Percentile
Nominal
Census
p
15. Is the process of selecting a portion - or sample - of the entire population
Ordinal
Statistic (note there is no 's' at the end)
Sample Variance
Sampling
16. Is the portion of the population that is selected for study
N
x
Statistic
Sample
17. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Characteristic of a distribution
Statistic (note there is no 's' at the end)
Parameter
Disjoint event
18. To divide the population into 2 or more non-overlapping subsets called strata
n
Statistic
Strata sampling
Ratio
19. Population proportion
Observational study
Center of Distribution
Median
p
20. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
s2
The effect of extreme values on the measures of center
Cluster sampling
Median
21. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Outlier
Symmetric Distribution
Descriptive Statistics
The effect of extreme values on the measures of center
22. Lowercase sigma; population standard deviaition
Frequency histogram
s
Simple random sample
Variable
23. For a left tailed test use normalcdf(-999 - ZTS)
Data Set
p value left tail
Inferential Statistics
s
24. Null hypothesis
Bias
H0
Statistic (note there is no 's' at the end)
25. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Systematic sampling
Frequency histogram
Population
Center of Distribution
26. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Ordinal
Parameter
Distribution
Outlier
27. 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
Descriptive Statistics
S x
Simple random sample
Symmetric Distribution
28. Sample proportion
Distribution
p
Parameter
29. Members of the population select themselves by volunteering
Disjoint event
Outlier
Self-selected sample
p
30. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Census
Statistic
Raw Data
p value two tailed test
31. The important aspects of the data are called?
Census
Continuous Data
Characteristic of a distribution
Systematic sampling
32. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
H1
Sample Size
Graph
p value right tail
33. The number of times each data value occurs
Statistic
Frequency
Convenience sampling
Median
34. Sum of the values
s
Numerical measurement describing some characteristics of a population.
Survey
S x
35. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
H1
Relative frequency histogram
Population
Percentile
36. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Population
Parameter
Relative frequency histogram
Continuous Data
37. Probability of event A
Statistic
P(A)
S
Sampling
38. 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
Bias
Representative Sample
Census
Random Sample or Probability Sample
39. 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.
Cluster sampling
Survey
Discrete Data
Pictograph
40. Mu; population mean
Statistic
The 4 measures of center
Systematic sampling
41. Create a sample by using data from population members that are readily available
S
Convenience sampling
Simple random sample
S x
42. Range - standard deviation and variance.
Ratio
The 3 measures of variation
Outlier
Frequency
43. Population size
Representative Sample
H1
Ratio
N
44. 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
Skewed Distribution
Population
p value two tailed test
p value right tail
45. A survey that includes every item or individual of the population
x
Population
Census
p
46. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Statistic (note there is no 's' at the end)
range
Population
47. 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)
Sample
Nominal
S x
48. Square the standard deviation and to find the population variance square of the population standard deviation
Observational study
Pictograph
p
Sample Variance
49. Test use normalcdf(ZTS -999)
Exploratory data analysis
p value right tail
Dependent events
Survey
50. Determine the location of the middle value of all the data values
Skewed Distribution
What symbol must always be found in H0
Center of Distribution
S