Term
| What are natural numbers? |
|
Definition
| Any whole number from 0 to infinity |
|
|
Term
| What is the general rule of operations when working with a grouping of numbers with no symbols? |
|
Definition
| PEMDAS- Multivide divide left to right then add or subtract |
|
|
Term
|
Definition
| values (pos+) or neg(-) the + or - being the signs. |
|
|
Term
| How do you add two numbers with different signs? |
|
Definition
| Subtract the smaller from the larger |
|
|
Term
| What is the result when one negative number is divided by another negative? |
|
Definition
|
|
Term
| What is a good rounding rule? |
|
Definition
| round only the final answer |
|
|
Term
| How is the rate determined? |
|
Definition
|
|
Term
| How is portion determined? |
|
Definition
|
|
Term
|
Definition
|
|
Term
| What statistical method is considered objective, subjective? |
|
Definition
| Descriptive and Inferential |
|
|
Term
| In the function M=F(N) which is independant? Dependant? |
|
Definition
|
|
Term
|
Definition
| to differentiate variables in a series |
|
|
Term
| What is the meaning of the symbol Sigma? (backwards E-ish) |
|
Definition
| sum of all aforementioned figures |
|
|
Term
| What is the value of 2 to the 5th power equal? Which is base? Exponet? |
|
Definition
|
|
Term
| What is the range of the values of N in this expression? 5 less than or equal to N which is less than or equal to 15 |
|
Definition
|
|
Term
What is the value of 5/2*6?
a. 0.3
b. 8.4
c. 15
d. 30 |
|
Definition
|
|
Term
Compute the difference of the signed numbers: -17-(-10)
a. 3
b. -3
c. -7
d. -27 |
|
Definition
|
|
Term
Eighty is 40% of what number
A. 200
b. 820
c 400
d 500 |
|
Definition
|
|
Term
what statistical method uses only a sample of data?
a inferential
b descriptive
c data survey
d randomization |
|
Definition
|
|
Term
Which action would require the use of the descriptive statistics method
a. draw a conclusion about data
b. chose a random sample of data
c. summarize a large amount of data
d. generalize from the results of small samples |
|
Definition
|
|
Term
In the equation Y=X+2 what does Y represent?
a. exponet
b. inequality
c. subscript
d. variable |
|
Definition
|
|
Term
| What is the value of 4 to the 3rd power |
|
Definition
|
|
Term
| What do you call data that can be expressed only in whole number units? |
|
Definition
|
|
Term
| What is the meaning of "population" as used in statistical language |
|
Definition
| the body from which the population was drawn |
|
|
Term
|
Definition
| limits or barriers of a population |
|
|
Term
|
Definition
| Splinter of the whole, chosen to represent a population |
|
|
Term
|
Definition
| Where ever unit has the equal chance of being drawn |
|
|
Term
| Define stratified sampling |
|
Definition
| Homogenity in groups, heterogenity out of groups |
|
|
Term
| Explain the difference between intentional and unintentional bias |
|
Definition
| Intentional- purposeful selection, going somewhere with it. Unintentional- dumb. Not following 6Ps |
|
|
Term
| Name two measurements that are truly quantitive |
|
Definition
|
|
Term
| Name two measurement scales that are non quantitative |
|
Definition
|
|
Term
| What is the function of a frequency distrobution? |
|
Definition
|
|
Term
| What is the first step in making a frequency distribution? |
|
Definition
|
|
Term
| What is the reccomended number of classes in a frequency distribution? |
|
Definition
|
|
Term
| What happens to a frequency distribution if the class interval is too small? |
|
Definition
|
|
Term
| Explain cumulative frequency distibution |
|
Definition
| Figures outside boundaries |
|
|
Term
| How are percentage frequencies determined? |
|
Definition
| Class frequency/all frequency |
|
|
Term
| What are histograms based on |
|
Definition
| The fact that values fall evenly, inside limits |
|
|
Term
| Where are the frequencies of the class intervals plotted when constructing a frequency polygon? |
|
Definition
|
|
Term
| Which graphic representation gives a better idea of the general shape of a distribution? |
|
Definition
|
|
Term
|
Definition
| The most frequently occuring value |
|
|
Term
| List the five characteristics of the mode |
|
Definition
| Most recalling, effected by extremes, simple, stable, appropriate |
|
|
Term
| How is the mode estimated from ungrouped data? |
|
Definition
| finding the most appropriate ungrouped data |
|
|
Term
| How can you estimate the mode from a frequency distribution? |
|
Definition
| Find high frequency class |
|
|
Term
| How can you estimate the mode from a histogram? |
|
Definition
| Perpendicular line, dotted arrow |
|
|
Term
|
Definition
|
|
Term
| Six characteristics of the median are: |
|
Definition
| All values above or below any # unaffected, must order values first |
|
|
Term
| How is the median calculated from ungrouped data when there is an odd number of values? |
|
Definition
| After it is ordered, the middle number |
|
|
Term
| How is the median calculated from ungrouped data when there is an even number of values? |
|
Definition
| It's assumed 1/2 way between two values |
|
|
Term
| When should you use the arithmetic mean? |
|
Definition
| When you need equal emphasis on each figure |
|
|
Term
| What is the mathematical definition of the arithmetic mean |
|
Definition
| the point that the standard deviation = 0 |
|
|
Term
| What is the harmonic mean primarily used for? |
|
Definition
| Averaging things, especially time |
|
|
Term
| List five characteristics of the mean. |
|
Definition
| Effected by extreams, dependant array. Interval ration sum of deviations from mean is zero sum of two to the power of s is less than all points |
|
|
Term
| How is weight calculated when using the weighted arithmetic means? |
|
Definition
| multiplying value by appropriate quantitative number |
|
|
Term
| when would a harmonic mean be considered useless? |
|
Definition
|
|
Term
| Define standard deviation in mathematical terms |
|
Definition
| Square root of the squares |
|
|
Term
| In the equations for calculating the standard deviation, what step gets rid of the negative values |
|
Definition
|
|
Term
| In a population, if all the values are zero, what is the standard deviation? |
|
Definition
|
|
Term
| How are the standard deviation and the variance related? |
|
Definition
| Deviation is the square root of variance |
|
|
Term
| In a normal distribution, as n grows smaller, what happens to s? |
|
Definition
| less representative of the population |
|
|
Term
| Define the sampling distribution fo the mean |
|
Definition
| theory distribution of means |
|
|
Term
| The variability for the average of x values in the sampling distribution fo means is affected by what two factors? |
|
Definition
| Size, how varied samples are |
|
|
Term
| Define the standard error of the mean |
|
Definition
| deviation of population divided by the square root of the sample size |
|
|
Term
| The normal distribution is composed of what two parameters? |
|
Definition
|
|
Term
| Like all continuous distributions, the total area under the curve is what percentage? |
|
Definition
|
|
Term
| For normality testing, what is the first step in plotting data? |
|
Definition
|
|
Term
| What is a good method to learn to recognize normal data distributions? |
|
Definition
| Plot skewed data, compare to known |
|
|
Term
| What percentage of individual items are located within a distance of one standard deviation from the mean in a normal distribution? |
|
Definition
|
|
Term
| What does the Z score represent? |
|
Definition
| How many standard deviations from the mean |
|
|
Term
| WHat is a symmetrical curve? |
|
Definition
| Each half of the curve is equal to itself |
|
|
Term
| What is a nonsymmetrical curve? |
|
Definition
|
|
Term
| what type of curve is very common when portraying the distribution of maintenance data |
|
Definition
|
|
Term
Which is the best example of a population in statistical language?
a. yearly b1 failures at dyess afb
b. weekly c-130 failures at scott afb
c. monthly e3c failures at tinker
d. total t38 failures across the af |
|
Definition
|
|
Term
A sample of a population that is taken in such a manner that each value has an equal chance of being selected is referred to as a
a. biased sample
b. random sample
c. sampling theory
d. sampling application |
|
Definition
|
|
Term
What are measures such as the mean or median called if they are computed from a sample?
a. statistics
b. parameter
c. population
d. distribution |
|
Definition
|
|
Term
Which measurement scale consists of equal intervals between scale values and an arbitrary zero point?
a. ratio
b. nominal
c. ordinal
d. interval |
|
Definition
|
|
Term
The second step in making a frequency distribution is to
a. determine the data's range
b. determine the class interval size
c. range the data from largest to smallest
d. range data from smallest to largest |
|
Definition
|
|
Term
Given the following noncumulative frequency distribution, which class interval will give you 18 classes?
a. .1
b. .2
c. .3
d. .4 |
|
Definition
|
|
Term
If you construct a frequency distribution and the class interval is too large, the result is
a. loss of detail
b. side gaps between items
c. overlapping lower limits
d. loss of smoothness and simplicity |
|
Definition
|
|
Term
When constructing a frequency polygon, what are plotted against the corresponding midpoints?
a. series of rectangles
b. individual values of data
c. lower limit and baseline
d. frequencies of the various class intervals |
|
Definition
|
|
Term
Which graphical method gives the best representation of the number of individual values in each class?
a. histogram
b. frequency polygon
c. overlapping polygon
d. overlapping histogram |
|
Definition
|
|
Term
what measure of central tendancy is the mostt typical value in a distribution
a. mean
b. mode
c. median
d. weighted mean |
|
Definition
|
|
Term
What is the mode of sampling consisting of these values: 6, 9, 10, 3, 2, 6, 25
a. 2
b. 6
c. 8
d. 18 |
|
Definition
|
|
Term
The median cannot be used with data from which measurement scale?
a. nominal
b. interval
c. ordinal
d. ratio |
|
Definition
|
|
Term
Analysts frequently use the median because it is easy to compute and gives a better picture of data than the mean and mode when data are
a. skewed
b. inconclusive
c. normal
d. incomplete |
|
Definition
|
|
Term
What must you do first to determine the median from ungrouped data?
a. arrange the data in classes
b. determine the numerical average
c. determine the total of the values
d. array the data in ascending order |
|
Definition
|
|
Term
A true characteristic of the arithmetic mean it is
a. affected by extreme values
b. not usable with the ration measurement scale
c. not affected by the number of items in the distribution
d. the most frequently occuring value in the distribution |
|
Definition
|
|
Term
| What is the arithmetic mean of the values: 8, 10, 11, 11, 5? |
|
Definition
|
|
Term
Compute a weighted mean for a distibution containing two values of 3 each, four values of 2 each, and 4 values of 5 each?
a. 1
b. 3.4
c. 6.6
d. 11.3 |
|
Definition
|
|
Term
For any distribution the sum of the deviations is
a. one
b. zero
c. less than one
d. more than one |
|
Definition
|
|
Term
For a standard deviation of a population, if the number of values increases, the standard deviation.
a. increases
b. decreases
c. formula changes
d. remains the sam |
|
Definition
|
|
Term
In a sample, you have 10 X values and each value is equal to 7. What is the standard deviation of the sample?
a. 0
b. 2.6
c. 14
d. 49 |
|
Definition
|
|
Term
As the number of values in a normal distribution sample decreases, the standard deviation
a. becomes more representative of the population
b. becomes less representative of the population
c. remains the same
d. increases |
|
Definition
| B. becomes less representative of the population |
|
|
Term
Given a large number of random samples, how is the mean of all the sample means related to the population mean?
a. it is the same
b. it is radically different
c. it is exactly 3 standard eviations apart
d. it is more than three standard deviations apart |
|
Definition
|
|
Term
A normal distribution contains what two parameters?
a. mean and mode
b. standard error and mode
c. mean and standard deviation
d. standard error and standard deviation |
|
Definition
|
|
Term
In a normal distribution, 99 percent of the area under the normal area curve is contained within how many standard deviations on each side of the mean
a. 1
b. 2
c. 3
d. 4 |
|
Definition
|
|
Term
When plotted on normal probability graph paper, data from a normal distribution shows up as a
a. circle
b. curved line
c. straight line
d. bell shaped cuve |
|
Definition
|
|
Term
How many standard deviations are represented by a value of 22 if the average of X is 14 and s is 5.
a. -2.8
b. -1.6
c. 1.6
d. 2.8 |
|
Definition
|
|
Term
If the average of X equals 24 and s equals 6, what are the values of the average of X plus or equal to 2s
a. 24 and 48
b. 18 and 36
c. 12 and 36
d. 12 and 24 |
|
Definition
|
|
Term
The variable that measures how many standard deviations a value is from the mean is the
a. x score
b. z score
c. standard deviation
d. standard error of the mean |
|
Definition
|
|
Term
Where does the most frequent value of a normal curve occur?
a. at the center of the distribution
b. at all points in the distribution
c. at the tail end of the distributiond
d. away from the center of the distribution |
|
Definition
|
|
Term
| Define the method of variables? |
|
Definition
| quantitative classification of data |
|
|
Term
| describe the method of attributes? |
|
Definition
| nonquantitative classification |
|
|
Term
| define chance causes of variation |
|
Definition
|
|
Term
| Define assignable causes of data |
|
Definition
| you can attribute a cause, outside forces |
|
|
Term
| Why do analysts use control charts? |
|
Definition
| to find assignable causes |
|
|
Term
| why is an investivation neccessary when points fall outside the established control limits on a control chart? |
|
Definition
| to see if it is in or out of control |
|
|
Term
| Explain why a process is out of control when seven consecutive points are on the same side of the centerline |
|
Definition
| indicates result is not representative of population |
|
|
Term
| what ristks are taken when you use control limits too close together on a control chart |
|
Definition
| look for nonexistant issues |
|
|
Term
| What should the analyst do when it has been decided that not enough time is being spent investivating assignable causes for variation? |
|
Definition
| switch to tighter controls |
|
|
Term
| What is the center line (CL) for the chart of individuals? |
|
Definition
|
|
Term
| When a mean and standard deviation of a sample of past data are known, how are the upper and lower control limits determined for the chart of individuals |
|
Definition
| Add or subtract one standard deviation |
|
|
Term
| In what type of maintenance situation can the control chart for individuals be used? |
|
Definition
| Repetitive, constant jobs |
|
|
Term
| The control limits of the chart for individuals are based on what kind of sampling distribution? |
|
Definition
|
|
Term
| How does the centerline of a chart for individuals compare with the centerline of a chart of averages? |
|
Definition
|
|
Term
| What is the measure of variability of a chart for averages? |
|
Definition
| standard error of the mean |
|
|
Term
| what is the difference between the points plotted on a chart for individuals and the points plotted on a chart of averages? |
|
Definition
| Plot on a chart-sample mean. Chart of individuals- individuals. |
|
|
Term
| Name one advantage that a chart of averages has over a chart of individuals |
|
Definition
| Averages remain mostly in control |
|
|
Term
| Name one advantage that a chart of averages has over a chart of individuals |
|
Definition
| Averages remain mostly in control |
|
|
Term
| Compare the sampling distributions associated with a chart for individuals with the sampling distribution of a chart for averages |
|
Definition
| both need normal distributions |
|
|
Term
| What is the purpose of a chart for dispersion? |
|
Definition
| measures changes in dispersion |
|
|
Term
| WHich other control chart is used in conjunction with an R chart? |
|
Definition
|
|
Term
| How does subgroup or sample size affect the construction of the R chart? |
|
Definition
| kept small to keep variations between groups |
|
|
Term
| Why must the sample size never be changed for previously established average of X chart and Rcharts? |
|
Definition
| control limits based on sample |
|
|
Term
| Define the terms defect and defective |
|
Definition
Defect- discrepancy like PMC
Defective- broken, NMC |
|
|
Term
| What is the c chart designed for |
|
Definition
|
|
Term
| What does the C chart have for its centerline |
|
Definition
| average # of defects per sample |
|
|
Term
| What condition must the sample size or unit inspected meet when using the C chart? |
|
Definition
| Size needs to remain constant |
|
|
Term
The causes of variation that can be identified on a control chart, regulated, and possibly eliminated are
a. chance
b. natural
c. random
d. assignable |
|
Definition
|
|
Term
The purpose of a control chart in statistics is to
a. identify causes for variation
b. eliminate causes for variation
c. detect the presence of chance causes for variation
d. detect the presence of assignable causes for variation |
|
Definition
|
|
Term
In general statistical terms, a control chart tells you
a. what the problem might be
when to look for a problem
where the root cause of a problem is
d. how to correct and eliminate a problem |
|
Definition
|
|
Term
When identifying processes out of control and using a control chart, what action should you take if you have set your control limits at three standard deviations and suspected problems are falling within control limits?
a. switch to tighter limits
b. recalculate to find standard deviation
c. keep established limits and don't investigate
d. discard current data and recalculate standard deviation |
|
Definition
|
|
Term
In statistical terms, what does the control chart for plotting individual X values use for the center line?
a. mean
b. mode
c. standard deviation
d. standard error of the mean |
|
Definition
|
|
Term
the statistical interpretation of a control chart for individuals would be distorted if the
a. distribution is normal
b. distribution is extremely skewed
c. standard deviation too small
d. standard deviation too large |
|
Definition
|
|
Term
In statistics, the control chart for averages is best used when dealing with data that is
a. simple
b. complex
c. in relatively small amounts
d. in relatively large amounts |
|
Definition
|
|
Term
What characteristic of the distribution used in a control chart for averages gives it an advantage over chart of individuals?
a. distribution of means always tends to be normal
b. population must be normal
c. population cannot be skewed
d. individual samples arent used |
|
Definition
|
|
Term
Which statistical chart measures changes in the means of a series?
a. chart of individuals
b. chart for averages
c. range char
d. p chart |
|
Definition
|
|
Term
What subgroup sample size is commonly used when constructing a statistical range chart?
a. 4-5
b.6-10
c. 10-20
d.20-25 |
|
Definition
|
|
Term
In statistics, what item on a p chart is affected by large changes in size?
a. center line
b. control limits
c. standard deviationd
.standard error of the mean |
|
Definition
|
|
Term
In statistics, a c chart may be used to measure
a. number of defective units
b. number of defects per unit
c. percent of defective units, percent of defects per squadron
d. percent of defectives per units |
|
Definition
|
|
Term
in statistics, a range chart is usually coupled with a
a. c chart
b. p chart
c. chart of averages
d. chart of individuals |
|
Definition
|
|
Term
On what sttistical control chart is the number of defects per unit plotted
a. c hart
b. p chart
c. chart of averages
d. chart of individuals |
|
Definition
|
|
Term
| Why can't detailed investigations be made on everything in maintenance? |
|
Definition
| massive amount of data, limited time |
|
|
Term
| WHat is the purpose of hypotheses testing in analysis? |
|
Definition
| identify trends, differences, differences |
|
|
Term
| How is null hypothesis denoted? |
|
Definition
|
|
Term
| Define alternate hypothesis? |
|
Definition
| Hypothesis available if null is wrong |
|
|
Term
| Why are sampling distributions used in hypothesis testing |
|
Definition
| for making adds on the likelyhood of an occurance |
|
|
Term
| When a given hypothesis is rejected, when in fact it is true, what type of error was made? |
|
Definition
|
|
Term
|
Definition
| probability of a type 1 error |
|
|
Term
| Define level of significance |
|
Definition
| risk factor you're willing to accept |
|
|
Term
| What is used to set up level of significance? |
|
Definition
| assigns portions of data in normal curve as rejection area |
|
|
Term
| list the six types of hypothesis testing procedures |
|
Definition
| state type, choose test, set gigint,distro, compute, makes computer doo things |
|
|
Term
| State an advantage of presetting the level of significance before making the comparason step in hypothesis testing. |
|
Definition
| more objective, less doubt |
|
|
Term
| What step in hypotesis testing normally takes longer to perform? why? |
|
Definition
| compute, many calculations |
|
|
Term
| Which factor of hypothesis testing determines the level of confidence in your decision? |
|
Definition
|
|
Term
| Define parametric and nonparametric tests |
|
Definition
| parametric- strong, basic assumptions. Nonparametric- less rigid, no assumptions |
|
|
Term
| Which type of statistical test uses data from a normal distribution? |
|
Definition
|
|
Term
| Parametric tests use which measurement scales? |
|
Definition
|
|
Term
| Nonparametric tests use data from which measurement scales? |
|
Definition
| NOIR' Nominal, Ordinal, Interval, Ratio |
|
|
Term
| List five assumptions and tests neccessary to compare the means of two samples of size 40. |
|
Definition
| Independant/random, ratio/oridnal, continuous/normal distrobution, homovariance performed |
|
|
Term
| What measurement scale is required before a mann-whitney u test can be performed? |
|
Definition
|
|
Term
| Which tests can be used with a nominal scale? |
|
Definition
|
|
Term
| What do you use to determine if your sample differences are within the extreme regions in the sampling distribution? |
|
Definition
|
|
Term
| What six questions must you answer to go through the proper sequence of statistical tests? |
|
Definition
| discrete or continuous? nominal? outliers? |
|
|
Term
| what is the purpose of a T test? |
|
Definition
| test extreme values to determine outliers |
|
|
Term
| What is the first step in determining if an outlier exists in a data series |
|
Definition
|
|
Term
| What action should be taken from the T test statistic is > T critical value? |
|
Definition
| eliminated from further computation |
|
|
Term
| What does the F test accomplish for the analyst? |
|
Definition
| Determines significant differences between variances |
|
|
Term
| What is the df value for a sample size of 24? |
|
Definition
|
|
Term
| What is the indication when you state a null hypothesis and the F test statistic is |
|
Definition
| not significantly different |
|
|
Term
| Whta table of probability is used with the z test for means? |
|
Definition
|
|
Term
| How are the two samples treated when assigning ranks for computing a U test tatistic |
|
Definition
|
|
Term
| You computed two U values. Which U value do you select as the U test statistic |
|
Definition
|
|
Term
| To use an H test, the data must come from at least which measurement scale? |
|
Definition
|
|
Term
| What effect will value ties across samples have on the H test? |
|
Definition
| excessive ties weaken test |
|
|
Term
| What sampling distribution test do you use when more than three samples are used with the H test. |
|
Definition
|
|
Term
| State the purpose of an x to the second power test |
|
Definition
| To test if major differences exist between frequencies in categories |
|
|
Term
| What is the minimum of expected frequencies when using the x to the second power test? |
|
Definition
|
|
Term
| How is E determined when only one sample is used in a x to the second power test? |
|
Definition
| E=sum of the population/K |
|
|
Term
| What is the indication when the x to the second power test statistic is less than the x to the second power value using H to the 0? |
|
Definition
|
|
Term
The various statistical techniques associated with hypothesis testing should be performed
a. neither very large nor very small
b. either very large or very small
c. very small
d. very large |
|
Definition
|
|
Term
Hypothesis testing is used in data analysis to
calculate linear trends
calculate probabilites
identify differences of the means
identify significant differances, trends, and relationships |
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What type of hypothesis assumes no significant difference between two or more population samples?
a. alternate
b. directional
c. null or given
d. directional alternate |
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How would you state the null hypothesis concerning your assumption between population A and pop B? The mean population of A
a. is equal to the mean of pop B
b. is less than the mean of pop B
c. is greater than the mean of pop B
d. cannot be measured with the mean of pop B |
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The probability of making a type I statistical error is denoted by
a. beta
b. mu
c. alpha
d. rho |
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When you assign a level of significance to a statistical test, you are actually assigning
a. a certain proportion of data in the normal curve area as your acceptance region
b. certain proportion of data in the normal area curve as your rejection
c. standard errror of the mean as your rejection region
d. the standard deviation as your cutoff point |
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What is the first step in the hypothesis testing procedure?
a. determine sampling distribution
b. state two hypothesis
c. compute statistic
d. choose tests |
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What statistical test makes no assumptions about the shape of the populations from which the samples come?
a. parametric
b. directional
c. nondirectional
d. nonparametric |
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In statistical testing, the extreme regions in sampling distributions are signified by
a. critical values
b chi squares
c. null values
d variances |
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In parametric testing, a t test is a one tailed test because
a. only one factor is used
b. only one tail of the sampling distro is used
c. both tails are used together
d. one tail is subtracted from the other |
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| If you use an f test for variance between two samples, you will reject your null hypothesis when |
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a. greater than the F critical value
b. less than F critical
c. negative value
d. zero |
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In statistics, a t test evaluates the significance of the difference between the
a. variance of more than two large samples
b. variance of two small samples
c. means of two small samples
d. means of two large samples |
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For a t test, what should the sample size be for differences between sample means?
a. less than 10
b. less than 30
c. larger than 30
d. larger than 50 |
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For a z test, the sample size for differences between sample means should a test
a 10
b. 20
c. 30
d. 40 |
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In nonparametric testing when making a comparison to the table of U critical values, you use the
a. differrnce of the u statistic
b. sum of the u statistic
c. smaller u statistic
d. larger u statistic |
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In nonparametric testing, why is the U test statistic converted to a z deviate when the sample size is no greater than 20?
a. no table exists for the comparing u statistics
b. z deviates are easier than u statistics
c. the u statistic can be compared to the table of u critical values
d. the sampling distribution of U rapidly approaches the normal distribution |
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The Kruskal-wallis H test requires data from at least what scale?
a. ratio
b. interval
c. ordinal
d. nominal |
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In nonparametric testing, what number of samples can the x 2 test be used for?
a. only one sample
b. no more than two samples
c. three to five samples
d. any number of samples |
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| In a nonparametric testing, what is the degree of freedom for a x 2 sample containing FIVE categories and FOUR rows in a multi sample test? |
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