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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. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Statistic
q
Exploratory data analysis
s
2. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Bias
Outlier
Numerical Variable
Data Set
3. A survey that includes every item or individual of the population
Interval
s
Census
Independent events
4. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Data Set
Systematic sampling
Observational study
Frequency
5. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Population
Sample
p value right tail
The 2 measures of relative standing
6. Is a sample containing similar characteristics of the population
Representative Sample
Statistic
Sample Variance
Continuous Data
7. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Survey
The effect of extreme values on the measures of center
Relative frequency histogram
Survey
8. Is a number that describes a characteristic of a sample
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9. Lowercase sigma; population standard deviaition
Median
Designed experiment
S x
s
10. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
The 4 measures of center
Skewed Distribution
Percentile
Survey
11. Can be used to get an initial graphical view of data
Convenience sampling
Nominal
Dot plots
Dependent events
12. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Distribution
Continuous Data
P(A)
Dependent events
13. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Relative frequency histogram
Dot plots
Variable
Interval
14. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
n
Characteristic of a distribution
p value two tailed test
15. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Percentile
Population
Discrete numerical data
16. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Pictograph
Range
Raw Data
Descriptive Statistics
17. 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
n
Alpha (a)
Variable
Characteristic of a distribution
18. The important aspects of the data are called?
Population
Relative frequency histogram
Characteristic of a distribution
19. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
Dot plots
Statistics
Sample
Disjoint event
20. Create a sample by using data from population members that are readily available
What symbol must always be found in H0
Data Set
N
Convenience sampling
21. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Bias
Continuous Data
What symbol must always be found in H0
Strata sampling
22. Using graphs and numerical summaries to describe variables in a data set and their relationship
Statistics
Interval
Exploratory data analysis
Alpha (a)
23. _______________ 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
Survey
Distribution
Variable
S x
24. Determine the location of the middle value of all the data values
Independent events
Relative frequency histogram
Median
Center of Distribution
25. Population size
q
Nominal
Sample Variance
N
26. Mean - mode - median and midrange.
Sample
The 4 measures of center
Variable
Census
27. The variable value can be represented as isolated points on a number line
Discrete numerical data
Nominal
Median
Cluster sampling
28. Variable where the value is a number that results from a measurement process - also called numerical data
Census
Bias
Numerical Variable
S
29. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Frequency histogram
Continuous Data
Inferential Statistics
Sample
30. One extreme value can affect it dramatically.
Discrete Data
Survey
Data
The effect of extreme values on the measures of center
31. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Convenience sampling
Parameter
p value two tailed test
Statistic
32. Mu; population mean
The effect of extreme values on the measures of center
Sampling
Cluster sampling
33. Before they are arranged or analyzed - information or observations are called________.
Population
Distribution
Percentile
Raw Data
34. 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
The 3 measures of variation
Population Size
Self-selected sample
Simple random sample
35. Is the portion of the population that is selected for study
s
Symmetric Distribution
Independent events
Sample
36. Occur when one of them affects the probability of the other.
Observational study
Dependent events
Census
Numerical measurement describing some characteristics of a population.
37. A method of experimentation in which you can control as many variables as possible in order to isolate the effects of a response variable
Ratio
Data Set
Numerical measurement describing some characteristics of a population.
Designed experiment
38. Probability of event A
Cluster sampling
P(A)
range
Relative frequency histogram
39. Is a number that describes a characteristic of a population
Parameter
Population Size
The 3 measures of variation
p
40. 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
Raw Data
Random Sample or Probability Sample
Population
H1
41. Is denoted by 'N' - is the number of data values in the population
Dot plots
Simple Random Sample
Discrete Data
Population Size
42. Alternative hypothesis
H1
Sample
The 4 measures of center
Convenience sampling
43. For a left tailed test use normalcdf(-999 - ZTS)
Numerical measurement describing some characteristics of a population.
Parameter
Population
p value left tail
44. 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
The 3 measures of variation
Simple random sample
s2
Ratio
45. Members of the population select themselves by volunteering
Characteristic of a distribution
Random Sample or Probability Sample
Self-selected sample
The effect of extreme values on the measures of center
46. Type II error is measured
Bias
Dot plots
p value right tail
47. 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
Survey
Graph
Median
Skewed Distribution
48. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
Pictograph
Self-selected sample
Numerical measurement describing some characteristics of a population.
49. Type of bar graph that shows frequency distributions
Sample
Frequency histogram
Stem and leaf plots
Relative frequency histogram
50. Sum of the values
S x
Sample
Raw Data
Stem and leaf plots