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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. 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
Discrete Data
Sample Variance
Ratio
2. Sample size or number of trials
Characteristic of a distribution
p
n
Data
3. Square the standard deviation and to find the population variance square of the population standard deviation
Sample Variance
s
Center of Distribution
Statistic
4. 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
Continuous Data
s2
Alpha (a)
Interval
5. Create a sample by using data from population members that are readily available
Relative frequency histogram
Outlier
Descriptive Statistics
Convenience sampling
6. Is the process of selecting a portion - or sample - of the entire population
Sampling
Population
Ratio
Representative Sample
7. Is the portion of the population that is selected for study
q
Convenience sampling
Statistic
Sample
8. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Inferential Statistics
Dot plots
Parameter
Raw Data
9. Population proportion
n
p
Parameter
Descriptive Statistics
10. 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
Ratio
Median
Outliers
H1
11. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Statistic (note there is no 's' at the end)
Percentile
Pictograph
Census
12. Capital sigma; summation
S
Population
Disjoint event
Random Sample or Probability Sample
13. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Stem-and-Leaf display
What symbol must always be found in H0
Representative Sample
Systematic sampling
14. Is denoted by 'N' - is the number of data values in the population
Census
Categorical Variable
Representative Sample
Population Size
15. The important aspects of the data are called?
Outlier
Random Sample or Probability Sample
Designed experiment
Characteristic of a distribution
16. Always use a equal symbol
Population
Parameter
What symbol must always be found in H0
Sample Size
17. Population size
N
Sample Variance
Pictograph
Representative Sample
18. Complement of p
Representative Sample
Data Set
S x
q
19. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
Systematic sampling
p value two tailed test
s
Nominal
20. Can be used to get an initial graphical view of data
Census
Pictograph
Discrete numerical data
Dot plots
21. Information about individuals in a population
Data
Characteristic of a distribution
Independent events
p value left tail
22. Occur when one of them affects the probability of the other.
Dependent events
p
Bias
Population
23. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
n
Strata sampling
Statistic (note there is no 's' at the end)
24. Collection of information from a sample
Interval
Dependent events
Survey
s
25. Disjoint events cannot overlap. They are mutually exclusive if they cannot occur at the same time.
s2
Numerical measurement describing some characteristic of a sample.
S x
Disjoint event
26. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
p
Descriptive Statistics
Parameter
Designed experiment
27. Is a collection of several data pertaining to one or more variables
p
Continuous Data
Data Set
The 2 measures of relative standing
28. Sample standard deviation
s
Numerical measurement describing some characteristic of a sample.
Discrete numerical data
Categorical Variable
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
q
Symmetric Distribution
Simple Random Sample
Population Size
30. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Cluster sampling
Alpha (a)
Representative Sample
Distribution
31. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Variable
Statistic
Sampling
Data
32. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Statistic (note there is no 's' at the end)
Frequency histogram
Nominal
Bias
33. Represents categories - and is nonnumerical in nature
Discrete numerical data
Categorical Variable
The 2 measures of relative standing
Representative Sample
34. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Designed experiment
Sample
s
S x
35. Mu; population mean
Self-selected sample
The effect of extreme values on the measures of center
Sample
36. A survey that includes every item or individual of the population
range
Data
Census
p value two tailed test
37. 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
Data
Statistic
Sample
Nominal
38. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Graph
Systematic sampling
Cluster sampling
Distribution
39. _______________ 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
Alpha (a)
The 2 measures of relative standing
40. Lowercase sigma; population standard deviaition
Dependent events
Representative Sample
s
The 2 measures of relative standing
41. Determine the location of the middle value of all the data values
Center of Distribution
Relative frequency histogram
Frequency histogram
Graph
42. Is a sample containing similar characteristics of the population
Statistic
Population
range
Representative Sample
43. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Relative frequency histogram
Frequency
Nominal
Survey
44. A numerical quantity measuring some aspect of the population
Parameter
N
Ordinal
p value left tail
45. 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
Inferential Statistics
Simple random sample
Data Set
Symmetric Distribution
46. Is a number that describes a characteristic of a sample
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47. Is denoted by 'n' - is the number of data values in the sample
Statistic
Sample
Self-selected sample
Sample Size
48. The number of times each data value occurs
The effect of extreme values on the measures of center
Frequency
Inferential Statistics
Frequency histogram
49. Collection of information from the whole population
Symmetric Distribution
Categorical Variable
Population
Census
50. 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
Observational study
x
s2
Simple random sample