Deck 12: Using Basic Descriptive Analysis, performing Population Estimates, and Testing Hypotheses
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Deck 12: Using Basic Descriptive Analysis, performing Population Estimates, and Testing Hypotheses
1
________ analysis helps determine the degree to which real and generalizable differences exist in the population.
A)Differences
B)Association
C)Predictive
D)Inference
E)Descriptive
A)Differences
B)Association
C)Predictive
D)Inference
E)Descriptive
A
2
Statistical concepts such as mean,medium,and frequency distribution are forms of ________ analysis.
A)differences
B)association
C)predictive
D)inference
E)descriptive
A)differences
B)association
C)predictive
D)inference
E)descriptive
E
3
The ________ is a descriptive analysis measure defined as that value in a string of numbers that occurs most often.
A)uncertainty
B)contrast
C)mode
D)mean
E)median
A)uncertainty
B)contrast
C)mode
D)mean
E)median
C
4
________ are concerned with depicting the typical difference between the values in a set of values.
A)Cross-tabulations
B)Multiple regressions
C)Standard deviations
D)Measures of variability
E)Frequency distributions
A)Cross-tabulations
B)Multiple regressions
C)Standard deviations
D)Measures of variability
E)Frequency distributions
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5
Statistical procedures and models are available to the marketing researcher to help make forecasts about future events,and these fall under the category of ________ analysis.
A)differences
B)association
C)predictive
D)inference
E)descriptive
A)differences
B)association
C)predictive
D)inference
E)descriptive
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6
Statistical concepts such as range and standard deviation are forms of ________ analysis.
A)differences
B)association
C)predictive
D)inference
E)descriptive
A)differences
B)association
C)predictive
D)inference
E)descriptive
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7
Statistical concepts such as correlation and cross-tabulation are forms of ________ analysis.
A)differences
B)association
C)predictive
D)inference
E)descriptive
A)differences
B)association
C)predictive
D)inference
E)descriptive
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8
The ________ expresses that value whose occurrence lies in the middle of an ordered set of values.
A)uncertainty
B)contrast
C)mode
D)mean
E)median
A)uncertainty
B)contrast
C)mode
D)mean
E)median
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9
The term ________ applies to any statistical measure used that somehow reflects a typical or frequent response.
A)reversals of scale endpoints
B)third-person technique
C)central tendency
D)predictive analysis
E)nonsampling error
A)reversals of scale endpoints
B)third-person technique
C)central tendency
D)predictive analysis
E)nonsampling error
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10
A(n)________ is a tabulation of the number of times that each different value appears in a particular set of values.
A)measure of central tendency
B)hypotheses test
C)standard deviation
D)sample size
E)frequency distribution
A)measure of central tendency
B)hypotheses test
C)standard deviation
D)sample size
E)frequency distribution
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11
________ is defined as the process of describing a dataset by computing a small number of statistics that characterize various aspects of the data.
A)Data normalization
B)Data mining
C)Data analysis
D)Data coding
E)Data collection
A)Data normalization
B)Data mining
C)Data analysis
D)Data coding
E)Data collection
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12
Multiple regression is a form of ________ analysis.
A)differences
B)association
C)predictive
D)inference
E)descriptive
A)differences
B)association
C)predictive
D)inference
E)descriptive
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13
The ________ identifies the distance between lowest value and the highest value in an ordered set of values.
A)median
B)variance
C)standard deviation
D)sample size
E)range
A)median
B)variance
C)standard deviation
D)sample size
E)range
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14
________ analysis determines the strength and direction of relationships between two or more variables.
A)Differences
B)Association
C)Predictive
D)Inference
E)Descriptive
A)Differences
B)Association
C)Predictive
D)Inference
E)Descriptive
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15
The ________ is the arithmetic average of a set of numbers.
A)multiple
B)matrix
C)mode
D)mean
E)median
A)multiple
B)matrix
C)mode
D)mean
E)median
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16
Statistical concepts such as standard error and null hypothesis are forms of ________ analysis.
A)differences
B)association
C)predictive
D)inference
E)descriptive
A)differences
B)association
C)predictive
D)inference
E)descriptive
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17
________ analysis is used by marketing researchers to describe the sample dataset in such a way as to portray the typical respondent and to reveal the general pattern of responses.
A)Differences
B)Association
C)Predictive
D)Inference
E)Descriptive
A)Differences
B)Association
C)Predictive
D)Inference
E)Descriptive
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18
When marketing researchers use statistical procedures to generalize the results of the sample to the target population it represents,the process is referred to as ________ analysis.
A)differences
B)association
C)predictive
D)inference
E)descriptive
A)differences
B)association
C)predictive
D)inference
E)descriptive
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19
Statistical concepts such as t tests of differences and analysis of variance are forms of ________ analysis.
A)differences
B)association
C)predictive
D)inference
E)descriptive
A)differences
B)association
C)predictive
D)inference
E)descriptive
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20
Which of the following is NOT a basic type of statistical analysis?
A)differences analysis
B)association analysis
C)financial analysis
D)inferential analysis
E)descriptive analysis
A)differences analysis
B)association analysis
C)financial analysis
D)inferential analysis
E)descriptive analysis
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21
Which of the following standard error values corresponds to 95 percent level of confidence?
A)2)69
B)3)14
C)1)96
D)2)58
E)1)52
A)2)69
B)3)14
C)1)96
D)2)58
E)1)52
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22
________ is a set of procedures in which the sample size and sample statistics are used to make an estimate of the corresponding population parameter.
A)Statistical inference
B)Frequency distribution
C)Hypothesis testing
D)Predictive analysis
E)Standard deviation
A)Statistical inference
B)Frequency distribution
C)Hypothesis testing
D)Predictive analysis
E)Standard deviation
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23
Ping Golf,Inc. ,conducts a study in which they use a probability sample of 600 golfers.They examine the data from the sample and calculate that 28 percent of them own Ping golf clubs.The 28 percent is the:
A)variance.
B)sample statistic.
C)measure of central tendency.
D)the population parameter.
E)the grand mean.
A)variance.
B)sample statistic.
C)measure of central tendency.
D)the population parameter.
E)the grand mean.
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24
Values that are computed from a complete census,which are considered to be precise and valid measures of the population,are referred to as:
A)parameters.
B)statistics.
C)median.
D)range.
E)standard deviation.
A)parameters.
B)statistics.
C)median.
D)range.
E)standard deviation.
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25
The square of standard deviation is known as:
A)a median.
B)variance.
C)standard deviation.
D)sample size.
E)range.
A)a median.
B)variance.
C)standard deviation.
D)sample size.
E)range.
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26
A demographic question like,"On a scale of 1 to 5,how does Starbucks rate on variety of its coffee drinks?" should have which of the following central tendency measure for the responses?
A)mode
B)variance
C)median
D)range
E)mean
A)mode
B)variance
C)median
D)range
E)mean
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27
To address ________,the square root of the entire equation for the standard deviation is taken.
A)break-offs
B)variance
C)inflation
D)inference
E)range
A)break-offs
B)variance
C)inflation
D)inference
E)range
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28
The ________ procedure is used to produce descriptive statistics for variables with nominal or ordinal scaling.
A)ANALYZE-DESCRIPTIVE STATISTICS-RATIO
B)ANALYZE-DESCRIPTIVE STATISTICS-FREQUENCIES
C)ANALYZE-DESCRIPTIVE STATISTICS-DESCRIPTIVES
D)ANALYZE-DESCRIPTIVE STATISTICS-EXPLORE
E)ANALYZE-DESCRIPTIVE STATISTICS-CROSSTABS
A)ANALYZE-DESCRIPTIVE STATISTICS-RATIO
B)ANALYZE-DESCRIPTIVE STATISTICS-FREQUENCIES
C)ANALYZE-DESCRIPTIVE STATISTICS-DESCRIPTIVES
D)ANALYZE-DESCRIPTIVE STATISTICS-EXPLORE
E)ANALYZE-DESCRIPTIVE STATISTICS-CROSSTABS
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29
Which of the following refers to a measure of the variability in the sampling distribution based on what is theoretically believed to occur if we were to take a multitude of independent samples from the same population?
A)multiple variance analysis
B)variance
C)standard error
D)predictive analysis
E)sample statistic
A)multiple variance analysis
B)variance
C)standard error
D)predictive analysis
E)sample statistic
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30
Values that are computed from information provided by a sample are referred to as the sample's:
A)parameters.
B)statistics.
C)median.
D)range.
E)standard deviation.
A)parameters.
B)statistics.
C)median.
D)range.
E)standard deviation.
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31
The ________ indicates the degree of variation or diversity in the values in such a way as to be translatable into a normal or bell-shaped curve distribution.
A)median
B)variance
C)standard deviation
D)sample size
E)range
A)median
B)variance
C)standard deviation
D)sample size
E)range
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32
A 99 percent confidence interval allows us to say that if we took many samples from the population:
A)the whole sample would contain a range that included the population parameter.
B)99 percent of all the samples would contain a range that included the population parameter.
C)99 percent of all the samples would allow us to estimate the mean within ±1 percent.
D)1 percent of all the samples would contain a range that included the population parameter.
E)1 percent of all the samples would allow us to estimate the mean within ±1 percent.
A)the whole sample would contain a range that included the population parameter.
B)99 percent of all the samples would contain a range that included the population parameter.
C)99 percent of all the samples would allow us to estimate the mean within ±1 percent.
D)1 percent of all the samples would contain a range that included the population parameter.
E)1 percent of all the samples would allow us to estimate the mean within ±1 percent.
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33
If you have five friends who tell you they all have had a great experience with their purchase of a Chevrolet,and if you use this fact to decide to buy a Chevrolet,the form of logic evident here is a(n):
A)median.
B)statistic.
C)inference.
D)variance.
E)parameter.
A)median.
B)statistic.
C)inference.
D)variance.
E)parameter.
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34
________ are the degree of accuracy desired by the researcher and stipulated as a level of confidence in the form of a range with a lower boundary and an upper boundary.
A)Measures of variability
B)Confidence intervals
C)Standard percentages
D)Parameter estimates
E)Statistical inferences
A)Measures of variability
B)Confidence intervals
C)Standard percentages
D)Parameter estimates
E)Statistical inferences
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35
________ is used to compare the sample statistic with what is believed to be the population value prior to undertaking the study.
A)Sample estimation
B)Hypothesis testing
C)Parameter estimation
D)Predictive analysis
E)Regression analysis
A)Sample estimation
B)Hypothesis testing
C)Parameter estimation
D)Predictive analysis
E)Regression analysis
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36
________ is a form of logic in which you make a general statement about an entire class based on what you have observed about a small set of members of that class.
A)Inference
B)Variance
C)Median
D)Range
E)Standard deviation
A)Inference
B)Variance
C)Median
D)Range
E)Standard deviation
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37
The two types of statistical inferences often used by marketing researchers are:
A)frequency distributions and standard deviations.
B)regression analyses and measures of variability.
C)parameter estimates and hypothesis tests.
D)descriptive analyses and predictive analyses.
E)medians and modes.
A)frequency distributions and standard deviations.
B)regression analyses and measures of variability.
C)parameter estimates and hypothesis tests.
D)descriptive analyses and predictive analyses.
E)medians and modes.
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38
________ is the process of using sample information to compute an interval that describes the range of a parameter such as a population mean or the population percentage.
A)Sample estimation
B)Hypothesis testing
C)Parameter estimation
D)Predictive analysis
E)Regression analysis
A)Sample estimation
B)Hypothesis testing
C)Parameter estimation
D)Predictive analysis
E)Regression analysis
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39
When reporting scale data to clients,which of the following descriptive measures should be absolutely included in a standard metric variable table?
A)variance
B)average
C)median
D)mode
E)range
A)variance
B)average
C)median
D)mode
E)range
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40
A demographic question like,"What is your gender?" should have which of the following central tendency measure for the responses?
A)mode
B)variance
C)median
D)range
E)mean
A)mode
B)variance
C)median
D)range
E)mean
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41
The ________ holds that our actual sample is one of the many theoretical samples comprising the assumed bell-shaped curve of possible sample results using the hypothesized value as the center of the bell-shaped distribution.
A)standard deviation
B)sampling distribution concept
C)standard error of the statistic
D)hypothesized parameter value
E)confidence interval
A)standard deviation
B)sampling distribution concept
C)standard error of the statistic
D)hypothesized parameter value
E)confidence interval
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42
The basic data analysis goal involved in all measures of variability is to report a single piece of information that describes the most typical response to a question.
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43
Statistical concepts such as standard error and null hypothesis are forms of predictive analysis.
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44
A demographic question such as,"About how many times did you buy fast-food for lunch last week?" should have the median as the appropriate central tendency measure for its responses.
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45
The standard deviation indicates the degree of variation or diversity in the values in such a way as to be translatable into a normal or bell-shaped curve distribution.
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46
The proper command sequence in SPSS to generate a confidence interval for a mean is:
A)ANALYZE-COMPARE MEANS-ONE-SAMPLE T TEST.
B)ANALYZE-COMPARE MEANS-MEANS.
C)ANALYZE-COMPARE MEANS-PAIRED SAMPLE T TEST.
D)ANALYZE-COMPARE MEANS-INDEPENDENT SAMPLE T TEST.
E)ANALYZE-COMPARE MEANS-ONE-WAY.
A)ANALYZE-COMPARE MEANS-ONE-SAMPLE T TEST.
B)ANALYZE-COMPARE MEANS-MEANS.
C)ANALYZE-COMPARE MEANS-PAIRED SAMPLE T TEST.
D)ANALYZE-COMPARE MEANS-INDEPENDENT SAMPLE T TEST.
E)ANALYZE-COMPARE MEANS-ONE-WAY.
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47
A frequency distribution is a tabulation of the number of times that each different value appears in a particular set of values.
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48
Measures of variability are concerned with depicting the typical difference between the values in a set of values.
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49
Statistical procedures and models are available to the marketing researcher to help make forecasts about future events,and these fall under the category of association analysis.
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50
Which of the following is NOT used to test hypotheses?
A)sample statistic (mean or percentage)
B)parameter estimate
C)standard error of the statistic (mean or percentage)
D)hypothesized parameter value
E)desired level of confidence
A)sample statistic (mean or percentage)
B)parameter estimate
C)standard error of the statistic (mean or percentage)
D)hypothesized parameter value
E)desired level of confidence
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51
The variance identifies the distance between lowest value and the highest value in an ordered set of values.
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52
Statistical concepts such as correlation and cross-tabulation are forms of association analysis.
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53
Descriptive analysis allows a researcher to draw conclusions about the population based on information in the dataset provided by the sample.
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54
Suppose we wish to test the hypothesis that an internship program allows its interns to earn $2,750 per semester and let us assume that this hypothesis is,in fact,true.Which of the following best illustrates the logic of hypothesis testing at the 95% confidence level?
A)From among 100 samples,95 percent of them would generate means that fell within ±1.96 z scores.
B)From among 99 samples,100 percent of them would generate means that fell within ±2.58 z scores.
C)From among 100 samples,95 percent of them would generate means that fell within ±2.58 z scores.
D)From among 100 samples,99 percent of them would generate means that fell within ±1.96 z scores.
E)From among 95 samples,100 percent of them would generate means that fell within ±1.96 z scores.
A)From among 100 samples,95 percent of them would generate means that fell within ±1.96 z scores.
B)From among 99 samples,100 percent of them would generate means that fell within ±2.58 z scores.
C)From among 100 samples,95 percent of them would generate means that fell within ±2.58 z scores.
D)From among 100 samples,99 percent of them would generate means that fell within ±1.96 z scores.
E)From among 95 samples,100 percent of them would generate means that fell within ±1.96 z scores.
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55
The mode is a descriptive analysis measure defined as that value in a string of numbers that occurs most often.
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56
The researcher uses difference analysis to determine the degree to which real and generalizable differences exist in the population to help the manager make an enlightened decision on which advertising theme to use.
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57
An alternative measure of central tendency is the variance,which expresses that value whose occurrence lies in the middle of an ordered set of values.
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58
The ________ value can be determined using either a percentage or a mean.
A)sampling distribution concept
B)measure of central tendency
C)hypothesized population parameter
D)parameter estimation
E)descriptive analysis
A)sampling distribution concept
B)measure of central tendency
C)hypothesized population parameter
D)parameter estimation
E)descriptive analysis
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59
________ is a statistical procedure used to accept or reject the hypothesis based on sample evidence.
A)Frequency distribution
B)Standard deviation
C)Hypothesis testing
D)Parameter estimation
E)Predictive analysis
A)Frequency distribution
B)Standard deviation
C)Hypothesis testing
D)Parameter estimation
E)Predictive analysis
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60
Data gathering is defined as the process of describing a dataset by computing a small number of statistics that characterize various aspects of the data.
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61
Parameter estimation is used to compare the sample statistic with what is believed to be the population value prior to undertaking the study.
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62
A parameter estimation is a statistical procedure used to accept or reject the hypothesis based on sample evidence.
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63
Values that are computed from information provided by a sample are referred to as the sample's parameter.
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64
The most commonly used level of confidence in marketing research is the 95% level,corresponding to 1.96 standard errors.
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65
Inference is a form of logic in which you make a general statement about an entire class based on what you have observed about a small set of members of that class.
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66
The z value associated with a 95 percent confidence interval is either ±1.96.
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67
The standard error will increase if the variation (standard deviation)is increased.
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68
Measures of central tendency is a set of procedures in which the population size and sample statistics are used to make estimates of population parameters.
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69
Values that are computed from a complete census,which are considered to be precise and valid measures of the population,are referred to as parameters.
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70
Two types of statistical inferences are parameter estimates and hypothesis tests.
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71
When reporting descriptive statistics to clients,descriptive measures such as median and mode need not be included in the standard metric variable table as managers do not relate to median or modes of scale data.
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72
The standard error will increase if sample size is increased.
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73
If you were investigating the percentage of high school students who eat at the local Taco Bell,the percentage - because it is derived from the sample - is the sample statistic.
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74
In parameter estimation,a value such as the population mean is estimated based on a sample's mean and its size.
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75
Confidence intervals are the degree of accuracy desired by the researcher and stipulated as a level of confidence in the form of a range with a lower boundary and an upper boundary.
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76
A practical use of confidence intervals is that they may be used to forecast likely,pessimistic,and optimistic forecasts.
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77
To calculate the mean and to generate a confidence interval estimate of the population mean,the sequence of menu commands in the SPSS for Windows is ANALYZE;COMPARE MEANS;ONE SAMPLE T TEST.
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78
A hypothesis test is used to approximate the population value through the use of confidence intervals.
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79
To estimate a parameter,you need to know the sample statistic,which is either a mean or percentage derived from sample data.
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80
Greek letters are used for sample statistics and Roman letters are used for parameters.
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