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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.
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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 quantity calculated from data gathered from a sample- usually used to estimate a population parameter
s2
Pictograph
Designed experiment
Statistic
2. 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
Range
p
Skewed Distribution
Observational study
3. An efficient method of graphing information using actual amounts: clusters - gaps - outliers are clearly identified.
Sample Variance
Population Size
Continuous Data
Stem and leaf plots
4. Double the answer from step 1 or step 2 (on whichever side your test statistics falls).
p value two tailed test
The effect of extreme values on the measures of center
s
Raw Data
5. Population is organized into groups (i.e - neighborhoods/departments) - and sampling unit is selected by a simple random sample
H0
Sampling
Cluster sampling
Outlier
6. Lowercase sigma; population standard deviaition
s
Center of Distribution
Bias
Stem and leaf plots
7. Complement of p
q
Dependent events
Representative Sample
Survey
8. 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
Nominal
Designed experiment
Raw Data
Discrete Data
9. For a left tailed test use normalcdf(-999 - ZTS)
p value left tail
p value right tail
N
Outlier
10. Parameter
Random Sample or Probability Sample
s2
Numerical measurement describing some characteristics of a population.
11. Type of bar graph that shows frequency distributions
Ratio
Simple random sample
Continuous Data
Frequency histogram
12. A method of data collection in which the objects of study are observed in their natural settings and the variables are recorded
Survey
Data Set
Observational study
x
13. Alternative hypothesis
H1
Disjoint event
Representative Sample
Statistic
14. Sample proportion
Alpha (a)
p
Sample Variance
Population
15. A method in which you randomly choose one number from 'l' to 'k' and continue to select the kth element
Inferential Statistics
p value left tail
Designed experiment
Systematic sampling
16. Occur when one does not affect the probability of the occurrence of the other.
Independent events
Characteristic of a distribution
The 4 measures of center
Convenience sampling
17. A numerical quantity measuring some aspect of the population
Skewed Distribution
Parameter
The 4 measures of center
Population Size
18. A method of data collection where the researcher selects a sample from the population and measures the variable of interest
Stem-and-Leaf display
Sample Size
Survey
N
19. One extreme value can affect it dramatically.
Variable
The effect of extreme values on the measures of center
Graph
Outliers
20. Sample variance
Frequency
p value two tailed test
Population
s2
21. Collection of information from a sample
Numerical measurement describing some characteristics of a population.
Survey
Stem-and-Leaf display
Statistic (note there is no 's' at the end)
22. Type II error is measured
Distribution
Census
Interval
23. Before they are arranged or analyzed - information or observations are called________.
Discrete numerical data
Interval
Raw Data
p value left tail
24. Null hypothesis
n
x
H0
Convenience sampling
25. To calculate the percentile take the number of values less than x - divide by total number of values and times by 100.
Variable
Percentile
Bias
Sample Size
26. Is a number that describes a characteristic of a sample
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27. To divide the population into 2 or more non-overlapping subsets called strata
Simple random sample
Median
Skewed Distribution
Strata sampling
28. Probability of event A
Raw Data
P(A)
Nominal
The 4 measures of center
29. Is a number that describes a characteristic of a population
Parameter
H0
N
Frequency
30. A collection of individuals about which we want to draw conclusions
p value left tail
Population
Sample Size
Median
31. (largest data value) - (smallest data value)
Data
range
Sample Variance
Parameter
32. Represents categories - and is nonnumerical in nature
H0
Strata sampling
Categorical Variable
S x
33. 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
Numerical measurement describing some characteristics of a population.
p
Simple Random Sample
Random Sample or Probability Sample
34. The number of times each data value occurs
Simple Random Sample
Symmetric Distribution
Parameter
Frequency
35. Population size
Sample
Numerical measurement describing some characteristics of a population.
N
Variable
36. Is a sample that has the pertinent characteristics of the population in the same proportion - as they are included in that population
Categorical Variable
Discrete Data
Random Sample or Probability Sample
Representative Sample
37. Has the same shape and horizontal scale as a histogram - but the vertical scale is marked with relative frequencies instead of actual frequencies
Statistic
Relative frequency histogram
Statistic
Dependent events
38. Is a sample containing similar characteristics of the population
Representative Sample
Population
p
p
39. A survey that includes every item or individual of the population
Census
Center of Distribution
s2
Data Set
40. 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
Population Size
Ratio
Representative Sample
Variable
41. _______________ 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
Graph
Dot plots
Continuous Data
Distribution
42. 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)
The 3 measures of variation
q
Population
43. An individual data value which lies far (above or below) from most or all of the other data values within a distribution
Outlier
Cluster sampling
Sample
Data
44. Create a sample by using data from population members that are readily available
Designed experiment
Census
Convenience sampling
Inferential Statistics
45. The variable value can be represented as isolated points on a number line
Discrete numerical data
Distribution
Convenience sampling
H0
46. Range - standard deviation and variance.
Outliers
Survey
The 3 measures of variation
Independent events
47. 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
Simple random sample
Relative frequency histogram
Census
Convenience sampling
48. Is the process of using SAMPLE INFORMATION to draw inferences or conclusions about the POPULATION
Frequency histogram
Random Sample or Probability Sample
Inferential Statistics
Disjoint event
49. Is the entire collection of all individuals or objects of interest
Sample
Designed experiment
Relative frequency histogram
Population
50. 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).
Statistic (note there is no 's' at the end)
p
Data Set
Interval
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