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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. Before they are arranged or analyzed - information or observations are called________.
Frequency histogram
Raw Data
p value right tail
Percentile
2. Sample proportion
p value left tail
Relative frequency histogram
Representative Sample
p
3. 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
s2
Simple Random Sample
Representative Sample
Data
4. 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
Nominal
x
Statistic (note there is no 's' at the end)
p
5. Information about individuals in a population
Alpha (a)
Convenience sampling
Median
Data
6. Statistics
Numerical measurement describing some characteristic of a sample.
Parameter
p value left tail
Survey
7. Mu; population mean
Population Size
The 2 measures of relative standing
Statistic
8. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Percentile
Survey
H0
Sample
9. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
S x
Outlier
Inferential Statistics
10. Collection of information from the whole population
Self-selected sample
Census
p value right tail
q
11. Is denoted by 'n' - is the number of data values in the sample
Sample Size
Parameter
Skewed Distribution
Observational study
12. Alternative hypothesis
s2
The 4 measures of center
H1
Random Sample or Probability Sample
13. Capital sigma; summation
S
What symbol must always be found in H0
Frequency
x
14. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Frequency
p value two tailed test
s
Percentile
15. Variable where the value is a number that results from a measurement process - also called numerical data
Simple Random Sample
Numerical Variable
Random Sample or Probability Sample
p
16. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Graph
Independent events
s2
Outliers
17. Collection of information from a sample
Population Size
range
Discrete numerical data
Survey
18. Sample mean
x
s
Frequency histogram
Categorical Variable
19. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Statistic
Systematic sampling
Bias
20. _______________ are numerical values that can assume only a limited number of values
n
Parameter
Sample
Discrete Data
21. Occur when one does not affect the probability of the occurrence of the other.
Dot plots
H1
Independent events
Cluster sampling
22. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Designed experiment
Statistic
Simple random sample
q
23. A survey that includes every item or individual of the population
Sample Variance
Sample
Census
Pictograph
24. Can be used to get an initial graphical view of data
Simple random sample
Dot plots
p value two tailed test
Distribution
25. Type of information - usually a property of characteristic of a person or thing that is measured or observed
p value left tail
Variable
S x
Representative Sample
26. 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
S x
Statistic
Random Sample or Probability Sample
The 3 measures of variation
27. Population variance
s2
Pictograph
Data Set
Statistic
28. Always use a equal symbol
The effect of extreme values on the measures of center
Sample
What symbol must always be found in H0
Statistic
29. 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
Ratio
Independent events
Raw Data
s2
30. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
s2
Observational study
Representative Sample
Inferential Statistics
31. _______________ 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
Dot plots
Numerical Variable
Numerical measurement describing some characteristics of a population.
32. Population size
Dot plots
s
p
N
33. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
H0
Numerical measurement describing some characteristics of a population.
Population Size
34. Sum of the values
p
Census
S x
The 4 measures of center
35. Lowercase sigma; population standard deviaition
s
p
Outliers
Numerical measurement describing some characteristics of a population.
36. 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
Bias
Population Size
Parameter
Simple random sample
37. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
p
Descriptive Statistics
Pictograph
38. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
x
Bias
Cluster sampling
Outliers
39. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Cluster sampling
Systematic sampling
s
40. Is a number that describes a characteristic of a sample
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41. Sample size or number of trials
p
Continuous Data
n
Convenience sampling
42. Null hypothesis
H0
Stem-and-Leaf display
Random Sample or Probability Sample
43. A numerical quantity measuring some aspect of the population
Parameter
Numerical measurement describing some characteristic of a sample.
p value left tail
Statistics
44. Complement of p
Survey
Numerical measurement describing some characteristic of a sample.
q
Independent events
45. 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
Statistics
Distribution
46. 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
Data Set
s
Disjoint event
Median
47. A collection of individuals about which we want to draw conclusions
Disjoint event
Population
Range
Ordinal
48. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Independent events
Relative frequency histogram
The 2 measures of relative standing
Distribution
49. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Statistic
Statistic (note there is no 's' at the end)
p
50. To divide the population into 2 or more non-overlapping subsets called strata
Graph
Strata sampling
Simple random sample
Population