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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. 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
Simple Random Sample
Sampling
Skewed Distribution
Data Set
2. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Dependent events
Outlier
Cluster sampling
The 4 measures of center
3. (largest data value) - (smallest data value)
Median
Simple random sample
Systematic sampling
range
4. 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
Symmetric Distribution
P(A)
What symbol must always be found in H0
Sample
5. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
x
Raw Data
Observational study
Alpha (a)
6. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Observational study
Variable
Descriptive Statistics
Designed experiment
7. _______________ 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
q
n
Distribution
Pictograph
8. Null hypothesis
Sampling
H0
Percentile
s2
9. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Raw Data
Percentile
Bias
Observational study
10. Statistics
Numerical measurement describing some characteristic of a sample.
S
Data
s2
11. Type II error is measured
Self-selected sample
Discrete Data
x
12. Range - standard deviation and variance.
s2
The 3 measures of variation
Simple Random Sample
P(A)
13. 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.
Designed experiment
Observational study
14. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
The 3 measures of variation
Percentile
Census
Designed experiment
15. 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
Raw Data
Data Set
Ratio
Random Sample or Probability Sample
16. Determine the location of the middle value of all the data values
Numerical measurement describing some characteristic of a sample.
Center of Distribution
Simple random sample
17. One extreme value can affect it dramatically.
Pictograph
Independent events
Categorical Variable
The effect of extreme values on the measures of center
18. Sample proportion
Data Set
Distribution
p
Nominal
19. A numerical quantity measuring some aspect of the population
Sample Variance
Continuous Data
Statistic
Parameter
20. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Survey
Sample
Stem-and-Leaf display
Variable
21. 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
H0
Range
Median
Skewed Distribution
22. Population variance
s2
S x
Disjoint event
Population
23. Members of the population select themselves by volunteering
Self-selected sample
N
Frequency
Outlier
24. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Data
Stem-and-Leaf display
Survey
Statistic
25. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Alpha (a)
Descriptive Statistics
Relative frequency histogram
Systematic sampling
26. Sample size or number of trials
Observational study
Survey
Outlier
n
27. The important aspects of the data are called?
Systematic sampling
s
Characteristic of a distribution
The 3 measures of variation
28. Parameter
The 4 measures of center
s2
Independent events
Numerical measurement describing some characteristics of a population.
29. 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
Ordinal
Random Sample or Probability Sample
Census
Bias
30. Square the standard deviation and to find the population variance square of the population standard deviation
p value left tail
The 3 measures of variation
Outliers
Sample Variance
31. Create a sample by using data from population members that are readily available
Simple random sample
Convenience sampling
Interval
Census
32. Complement of p
Numerical Variable
Survey
q
x
33. Population size
H0
Numerical Variable
N
Designed experiment
34. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Center of Distribution
Statistic
Stem-and-Leaf display
Outlier
35. The number of times each data value occurs
Frequency
H0
Center of Distribution
The 4 measures of center
36. Mean - mode - median and midrange.
Population Size
Census
Numerical measurement describing some characteristics of a population.
The 4 measures of center
37. A collection of individuals about which we want to draw conclusions
Numerical measurement describing some characteristics of a population.
Interval
s
Population
38. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Data
Population
Representative Sample
Interval
39. Probability of event A
What symbol must always be found in H0
P(A)
p value right tail
S
40. Occur when one does not affect the probability of the occurrence of the other.
H0
Independent events
Population Size
Sample Size
41. For a left tailed test use normalcdf(-999 - ZTS)
Continuous Data
p value left tail
Numerical Variable
Simple random sample
42. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Alpha (a)
Symmetric Distribution
The 2 measures of relative standing
Systematic sampling
43. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
Sample
Survey
Systematic sampling
Graph
44. To find the range subtract the lowest value by the highest value.
Range
Center of Distribution
Simple random sample
Self-selected sample
45. The variable value can be represented as isolated points on a number line
Center of Distribution
Outliers
Discrete numerical data
q
46. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Discrete numerical data
Variable
x
47. Capital sigma; summation
Outlier
p
S
N
48. Always use a equal symbol
Survey
What symbol must always be found in H0
Census
Discrete numerical data
49. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Stem and leaf plots
Observational study
Exploratory data analysis
n
50. Is denoted by 'N' - is the number of data values in the population
Numerical Variable
Pictograph
Statistic (note there is no 's' at the end)
Population Size