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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. Standard scores and percentile
The 2 measures of relative standing
Range
Sample
S x
2. Is the process of selecting a portion - or sample - of the entire population
The 2 measures of relative standing
Sampling
Percentile
Simple random sample
3. Is a number that describes a characteristic of a population
Parameter
Ordinal
Numerical measurement describing some characteristic of a sample.
q
4. (largest data value) - (smallest data value)
Sample
p value left tail
range
Survey
5. Represents categories - and is nonnumerical in nature
Pictograph
q
Statistics
Categorical Variable
6. Occur when one of them affects the probability of the other.
S x
Stem-and-Leaf display
The 2 measures of relative standing
Dependent events
7. Level of measurement- Is like the ordinal level - with the additional property that we can determine meaningful amounts of differences between data. However - there is no inherent (natural) zero starting point (where none of the quantity is present).
The 4 measures of center
The 2 measures of relative standing
Interval
Simple random sample
8. Type of bar graph that shows frequency distributions
Census
s
Frequency histogram
S
9. Null hypothesis
Simple Random Sample
H0
Parameter
Frequency histogram
10. Uses numerical and or visual techniques to summarize or describe the data in a clear effective manner
Systematic sampling
Distribution
Descriptive Statistics
S
11. Alternative hypothesis
Variable
Center of Distribution
H1
Nominal
12. A subset of the population- it's important to choose a sample at random to avoid bias in the results
p value two tailed test
Sample
The effect of extreme values on the measures of center
The 3 measures of variation
13. Is denoted by 'N' - is the number of data values in the population
s
Statistic
Population Size
The 3 measures of variation
14. Range - standard deviation and variance.
Stem and leaf plots
Center of Distribution
Systematic sampling
The 3 measures of variation
15. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Survey
S
Strata sampling
Median
16. A numerical quantity measuring some aspect of the population
Distribution
Ordinal
Parameter
p value two tailed test
17. _______________ 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
Symmetric Distribution
Interval
Continuous Data
18. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
H1
Census
Systematic sampling
s2
19. The variable value can be represented as isolated points on a number line
Discrete numerical data
Nominal
Pictograph
Statistic (note there is no 's' at the end)
20. 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
Alpha (a)
p
Categorical Variable
Numerical measurement describing some characteristics of a population.
21. Type of information - usually a property of characteristic of a person or thing that is measured or observed
Variable
Stem-and-Leaf display
Statistics
Simple random sample
22. Determine the location of the middle value of all the data values
Center of Distribution
p value right tail
Statistic
Sample Variance
23. _______________ are numerical measurements that can assume any value between two numbers
Random Sample or Probability Sample
Numerical Variable
Data
Continuous Data
24. 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
H0
Simple random sample
Representative Sample
p
25. Square the standard deviation and to find the population variance square of the population standard deviation
Median
Inferential Statistics
Sample Variance
Stem and leaf plots
26. 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
Numerical measurement describing some characteristic of a sample.
Descriptive Statistics
Discrete Data
27. A visual exploratory data analysis technique that shows the shape of a distribution - this kind of display uses the actual values of the variable to present the shape of the distribution of data values
Sample
Stem-and-Leaf display
Descriptive Statistics
p value left tail
28. A collection of individuals about which we want to draw conclusions
S
Numerical Variable
Population
Skewed Distribution
29. A number that is used to describe a characteristic of a sample - such as a sample average - is called a __________.
Inferential Statistics
Data
Statistic
What symbol must always be found in H0
30. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Representative Sample
s
Disjoint event
Designed experiment
31. Variable where the value is a number that results from a measurement process - also called numerical data
Skewed Distribution
Population Size
P(A)
Numerical Variable
32. 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
The 4 measures of center
Population
Population Size
Median
33. Probability of event A
N
Bias
Parameter
P(A)
34. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
range
H0
Relative frequency histogram
Population
35. Complement of p
p value right tail
Statistic
q
Dependent events
36. Sample proportion
Continuous Data
Numerical measurement describing some characteristics of a population.
Statistics
p
37. Is a collection of several data pertaining to one or more variables
Data Set
Bias
Inferential Statistics
p
38. Is a number that describes a characteristic of a sample
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39. Collection of information from a sample
Survey
Observational study
Distribution
Dependent events
40. Population variance
s2
Dependent events
Distribution
q
41. Before they are arranged or analyzed - information or observations are called________.
Raw Data
Ordinal
Data
s2
42. _______________ are numerical values that can assume only a limited number of values
Stem and leaf plots
Discrete Data
Disjoint event
43. Sample mean
Representative Sample
Dot plots
x
44. Capital sigma; summation
Random Sample or Probability Sample
The 3 measures of variation
S
Self-selected sample
45. Test use normalcdf(ZTS -999)
The 2 measures of relative standing
p
p value right tail
Sample
46. To divide the population into 2 or more non-overlapping subsets called strata
Strata sampling
Parameter
Continuous Data
Stem and leaf plots
47. Type II error is measured
What symbol must always be found in H0
Independent events
Outliers
48. A flaw in the sampling procedure that makes it more likely that the sample will NOT be representative of population
Convenience sampling
H1
Bias
Outlier
49. To find the range subtract the lowest value by the highest value.
H1
Range
The effect of extreme values on the measures of center
S
50. A descriptive tool used to visually describe the characteristics and relationships of collections of data quickly and attractively
q
Graph
Census
Categorical Variable