QMB 3200
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Linear regression model 
can be used to estimate the mean value of y given xi, or it can be used to predict the value of y given n 
Confidence interval 
the interval estimate of the mean value of y for a given value of x 
Predictor interval 
Used when we want to predict an individual value of y 
Intercept (b0) 
The estimated value of Y when X is 0 
x variable 
independent variable 
regression coefficient intercept 
estimated results for the y intercept 
regression coefficient independent variabl...
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Linear regression model 
can be used to estimate the mean value of y given xi, or it can be used to predict the value of y given n 
Confidence interval 
the interval estimate of the mean value of y for a given value of x 
Predictor interval 
Used when we want to predict an individual value of y 
Intercept (b0) 
The estimated value of Y when X is 0 
x variable 
independent variable 
regression coefficient intercept 
estimated results for the y intercept 
regression coefficient independent variabl...
Frequency Distribution definition 
A tabular summary of data showing the number (frequency) of observations in each of several nonoverlapping categories or classes. 
Relative Frequency Distribution definition 
A tabular summary of data showing the fraction or proportion of observations in each of several nonoverlapping categories or classes. 
percent frequency distribution definition 
A tabular summary of data showing the percentage of observations in each of several nonoverlapping classes. 
How...
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Frequency Distribution definition 
A tabular summary of data showing the number (frequency) of observations in each of several nonoverlapping categories or classes. 
Relative Frequency Distribution definition 
A tabular summary of data showing the fraction or proportion of observations in each of several nonoverlapping categories or classes. 
percent frequency distribution definition 
A tabular summary of data showing the percentage of observations in each of several nonoverlapping classes. 
How...
z-score 
a measure of how many standard deviations you are away from the norm (average or mean) 
Chebyshev's Theorem 
At least (1-1/z^2) of the data values must be within z standard deviations of the mean, where z > 1 
if z-score more than 3 
probably an outlier 
IQR rule 
Q1 - 1.5(IQR) 
Q3 + 1.5(IQR) 
left skew (neg) 
right skew (positive) 
covariance 
A measure of linear association between two variables. Positive values indicate a positive relationship; negative values indicate a negati...
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z-score 
a measure of how many standard deviations you are away from the norm (average or mean) 
Chebyshev's Theorem 
At least (1-1/z^2) of the data values must be within z standard deviations of the mean, where z > 1 
if z-score more than 3 
probably an outlier 
IQR rule 
Q1 - 1.5(IQR) 
Q3 + 1.5(IQR) 
left skew (neg) 
right skew (positive) 
covariance 
A measure of linear association between two variables. Positive values indicate a positive relationship; negative values indicate a negati...
Following is a portion of the computer output for a regression analysis relating y = number of people who use the public pool to x = the outside temperature. 
 
Predictor Coef 
Constant 57.912 
Temp 0.81138 
 
Predict approximately how many people will use the public pool in a day when the temperature is 90 degrees? 
y = 57.912 + .81138 (90) = 131 
An F test, based on the F probability distribution, can be used to test for? 
Significance in regression 
The following data show the results of an a...
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Following is a portion of the computer output for a regression analysis relating y = number of people who use the public pool to x = the outside temperature. 
 
Predictor Coef 
Constant 57.912 
Temp 0.81138 
 
Predict approximately how many people will use the public pool in a day when the temperature is 90 degrees? 
y = 57.912 + .81138 (90) = 131 
An F test, based on the F probability distribution, can be used to test for? 
Significance in regression 
The following data show the results of an a...
population 
all possible subjects of interest 
sample 
subset of a population 
parameters 
values describing population 
statistic 
values describing sample 
sampling distribution 
distribution patter that averages or proportions follow when samples are randomly drawn 
standard error 
standard deviations of sample means or proportions 
why sample 
entire population is expensive and time consuming, cant examine everything if test is destructive 
areas of sampling 
accounting,
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population 
all possible subjects of interest 
sample 
subset of a population 
parameters 
values describing population 
statistic 
values describing sample 
sampling distribution 
distribution patter that averages or proportions follow when samples are randomly drawn 
standard error 
standard deviations of sample means or proportions 
why sample 
entire population is expensive and time consuming, cant examine everything if test is destructive 
areas of sampling 
accounting,
A population where each element of the population is assigned to one and only one of exactly two classes or categories is a 
Binomial Population 
Goodness of fit test utilizes 
Chi-square test 
A goodness of fit test is never conducted as a 
Lower tailed Test or a Two Tailed Test 
An important application of the chi-square distribution does not include: 
making inferences about two population variances 
A goodness of fit test is always 
An upper tailed test 
The degrees of freedom for a continge...
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A population where each element of the population is assigned to one and only one of exactly two classes or categories is a 
Binomial Population 
Goodness of fit test utilizes 
Chi-square test 
A goodness of fit test is never conducted as a 
Lower tailed Test or a Two Tailed Test 
An important application of the chi-square distribution does not include: 
making inferences about two population variances 
A goodness of fit test is always 
An upper tailed test 
The degrees of freedom for a continge...
The results of a recent poll on the preference of shoppers regarding two products are shown below. 
 
Product; Shoppers Surveyed; Shoppers Favoring 
A; 800; 560 
B; 900; 612 
 
Refer to Exhibit 11-6. The 95% confidence interval estimate for the difference between the populations favoring the products is 
 
a. 0.6 to 0.7 
b. -0.024 to 0.064 
c. 0.02 to 0.3 
d. 0.024 to 0.7 
b. -0.024 to 0.064 
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the fol...
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The results of a recent poll on the preference of shoppers regarding two products are shown below. 
 
Product; Shoppers Surveyed; Shoppers Favoring 
A; 800; 560 
B; 900; 612 
 
Refer to Exhibit 11-6. The 95% confidence interval estimate for the difference between the populations favoring the products is 
 
a. 0.6 to 0.7 
b. -0.024 to 0.064 
c. 0.02 to 0.3 
d. 0.024 to 0.7 
b. -0.024 to 0.064 
When individuals in a sample of 150 were asked whether or not they supported capital punishment, the fol...
Dataset 
all the data collected for a particular analysis. 
Element 
the entity on which data is collected. 
Variable 
a characteristic of interest of an element. 
Observation 
the variables associated with an individual element. 
Categorical 
use numeric or ordinal values of measurement of categories. 
Quantitative 
use numeric (quantitative) measures. 
Cross-sectional 
data collected at a similar point in time. 
Time Series 
data collected over several time periods. 
Panel 
combination of cros...
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Dataset 
all the data collected for a particular analysis. 
Element 
the entity on which data is collected. 
Variable 
a characteristic of interest of an element. 
Observation 
the variables associated with an individual element. 
Categorical 
use numeric or ordinal values of measurement of categories. 
Quantitative 
use numeric (quantitative) measures. 
Cross-sectional 
data collected at a similar point in time. 
Time Series 
data collected over several time periods. 
Panel 
combination of cros...
In a data set, the number of observations will always be the same as the number of _____. 
 
elements 
 
data sets 
 
variables 
 
data 
elements 
Data collected at the same, or approximately the same, point in time are _____ data. 
 
static 
 
time series 
 
cross-sectional 
 
one-dimensional 
cross-sectional 
When the data are labels or names used to identify an attribute of the elements, the variable has which scale of measurement? 
 
interval 
 
ordinal 
 
nominal 
 
ratio 
nominal 
The enti...
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In a data set, the number of observations will always be the same as the number of _____. 
 
elements 
 
data sets 
 
variables 
 
data 
elements 
Data collected at the same, or approximately the same, point in time are _____ data. 
 
static 
 
time series 
 
cross-sectional 
 
one-dimensional 
cross-sectional 
When the data are labels or names used to identify an attribute of the elements, the variable has which scale of measurement? 
 
interval 
 
ordinal 
 
nominal 
 
ratio 
nominal 
The enti...
data 
the facts & figures collected, analyzed, & summarized for presentation & interpretation 
dataset 
all the data collected for a particular analysis 
element 
the entity on which data is collected 
variable 
a characteristic of interest of an element 
observation 
the variables associated with an individual element 
categorical data 
uses numeric or ordinal values of measurement of categories 
quantitative data 
use numeric (quantitative) measures 
cross-sectional 
data collected at a simila...
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data 
the facts & figures collected, analyzed, & summarized for presentation & interpretation 
dataset 
all the data collected for a particular analysis 
element 
the entity on which data is collected 
variable 
a characteristic of interest of an element 
observation 
the variables associated with an individual element 
categorical data 
uses numeric or ordinal values of measurement of categories 
quantitative data 
use numeric (quantitative) measures 
cross-sectional 
data collected at a simila...