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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. Occur when one of them affects the probability of the other.
Sample Variance
The 3 measures of variation
Numerical measurement describing some characteristic of a sample.
Dependent events
2. Sample standard deviation
Census
Range
Population Size
s
3. Determine the location of the middle value of all the data values
Parameter
Outliers
Survey
Center of Distribution
4. 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
Random Sample or Probability Sample
Parameter
Distribution
Population
5. Always use a equal symbol
Independent events
What symbol must always be found in H0
Inferential Statistics
Systematic sampling
6. Data values that are either much larger or much smaller than the general body of data- they should be included in an analysis unless they are the result of human or other error
range
Outliers
Statistic (note there is no 's' at the end)
Self-selected sample
7. A survey that includes every item or individual of the population
Census
Skewed Distribution
N
Bias
8. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Categorical Variable
Sample
Percentile
n
9. Type II error is measured
Census
Numerical measurement describing some characteristics of a population.
Simple Random Sample
10. Is denoted by 'n' - is the number of data values in the sample
Pictograph
Numerical Variable
Sample Size
Sample Variance
11. Is the process of selecting a portion - or sample - of the entire population
Sampling
Descriptive Statistics
Percentile
Ordinal
12. 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
Symmetric Distribution
Sample Variance
Exploratory data analysis
Simple Random Sample
13. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
H1
Inferential Statistics
Simple Random Sample
14. Is a number that describes a characteristic of a population
Survey
Center of Distribution
Parameter
Simple random sample
15. Involves the procedures associated with the data collection process - the summarizing and interpretation of data - and the drawing of inferences or conclusions based on the analysis of the data
Statistic
Statistics
Survey
16. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Survey
Representative Sample
Statistic
Strata sampling
17. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
p
Systematic sampling
Descriptive Statistics
p value left tail
18. 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.
Frequency
Continuous Data
Skewed Distribution
Pictograph
19. Null hypothesis
Stem-and-Leaf display
Nominal
H0
Sample Size
20. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
s2
H1
Parameter
Inferential Statistics
21. Represents categories - and is nonnumerical in nature
Categorical Variable
p value right tail
Stem-and-Leaf display
Frequency
22. Square the standard deviation and to find the population variance square of the population standard deviation
Sampling
Sample Variance
p value right tail
Continuous Data
23. Sample size or number of trials
Self-selected sample
Distribution
Descriptive Statistics
n
24. Is denoted by 'N' - is the number of data values in the population
Population Size
Strata sampling
Relative frequency histogram
Census
25. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
Range
Cluster sampling
s
Statistics
26. Using graphs and numerical summaries to describe variables in a data set and their relationship
Exploratory data analysis
p value two tailed test
Discrete numerical data
Inferential Statistics
27. The pattern of variation of data. The distribution may be described as symmetrical - positively skewed - or negatively skewed
Exploratory data analysis
The 3 measures of variation
Discrete numerical data
Distribution
28. 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
Pictograph
Alpha (a)
Population Size
Discrete Data
29. Sample variance
p value two tailed test
s
s2
Population
30. _______________ 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
p
s
Data Set
Distribution
31. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
The 4 measures of center
Observational study
Continuous Data
Graph
32. Is the entire collection of all individuals or objects of interest
Percentile
Dot plots
p value left tail
Population
33. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Frequency histogram
Sample Size
Outlier
S x
34. Collection of information from a sample
Numerical measurement describing some characteristic of a sample.
Survey
Distribution
Parameter
35. The number of times each data value occurs
Numerical Variable
Characteristic of a distribution
Population Size
Frequency
36. 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
Statistics
Nominal
Systematic sampling
N
37. A collection of individuals about which we want to draw conclusions
Observational study
Inferential Statistics
Ratio
Population
38. Can be used to get an initial graphical view of data
Median
Dot plots
Outliers
Random Sample or Probability Sample
39. Is the portion of the population that is selected for study
The 4 measures of center
Sample
Random Sample or Probability Sample
The 3 measures of variation
40. The variable value can be represented as isolated points on a number line
Median
Numerical Variable
N
Discrete numerical data
41. Information about individuals in a population
Distribution
H0
Data
p
42. Parameter
Numerical measurement describing some characteristics of a population.
Pictograph
Exploratory data analysis
Representative Sample
43. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Outliers
Random Sample or Probability Sample
Graph
Bias
44. Complement of p
q
Inferential Statistics
Survey
The 2 measures of relative standing
45. A quantity calculated from data gathered from a sample- usually used to estimate a population parameter
Simple random sample
Representative Sample
Stem and leaf plots
Statistic
46. A subset of the population- it's important to choose a sample at random to avoid bias in the results
Sample
Alpha (a)
s
Sampling
47. Is a collection of several data pertaining to one or more variables
Data Set
Descriptive Statistics
N
p value two tailed test
48. Sum of the values
Observational study
S x
Designed experiment
Descriptive Statistics
49. Lowercase sigma; population standard deviaition
Sampling
Numerical measurement describing some characteristics of a population.
Dot plots
s
50. Alternative hypothesis
Continuous Data
Population Size
H1
S x