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TABLE 12-12 The Manager of the Purchasing Department of a Large Savings

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TABLE 12-12
The manager of the purchasing department of a large savings and loan organization would like to develop a model to predict the amount of time (measured in hours) it takes to record a loan application. Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded. Below is the regression output:
TABLE 12-12 The manager of the purchasing department of a large savings and loan organization would like to develop a model to predict the amount of time (measured in hours)  it takes to record a loan application. Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded. Below is the regression output:     Note: 4.3946E-15 is 4.3946 x 10-15.        -Referring to Table 12-12, to test the claim that the mean amount of time depends positively on the number of loan applications recorded against the null hypothesis that the mean amount of time does not depend linearly on the number of invoices processed, the p-value of the test statistic is ________. A)  (4.3946E-15) /2 B)  4.3946E-15 C)  (4.3946E-15) *2 D)  0.0030
Note: 4.3946E-15 is 4.3946 x 10-15.
TABLE 12-12 The manager of the purchasing department of a large savings and loan organization would like to develop a model to predict the amount of time (measured in hours)  it takes to record a loan application. Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded. Below is the regression output:     Note: 4.3946E-15 is 4.3946 x 10-15.        -Referring to Table 12-12, to test the claim that the mean amount of time depends positively on the number of loan applications recorded against the null hypothesis that the mean amount of time does not depend linearly on the number of invoices processed, the p-value of the test statistic is ________. A)  (4.3946E-15) /2 B)  4.3946E-15 C)  (4.3946E-15) *2 D)  0.0030
TABLE 12-12 The manager of the purchasing department of a large savings and loan organization would like to develop a model to predict the amount of time (measured in hours)  it takes to record a loan application. Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded. Below is the regression output:     Note: 4.3946E-15 is 4.3946 x 10-15.        -Referring to Table 12-12, to test the claim that the mean amount of time depends positively on the number of loan applications recorded against the null hypothesis that the mean amount of time does not depend linearly on the number of invoices processed, the p-value of the test statistic is ________. A)  (4.3946E-15) /2 B)  4.3946E-15 C)  (4.3946E-15) *2 D)  0.0030
-Referring to Table 12-12, to test the claim that the mean amount of time depends positively on the number of loan applications recorded against the null hypothesis that the mean amount of time does not depend linearly on the number of invoices processed, the p-value of the test statistic is ________.


Definitions:

Probability Model

A mathematical representation of a random process, describing the likelihood of various outcomes.

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Refers to the current financial worth of a share of a company's stock.

Electronics Company

A business involved in the design, manufacturing, and/or sale of electronic devices and components.

Probability Model

An analytical model that represents a random occurrence, defined by its set of all possible outcomes, the events contained in that set, and the likelihood of each of those events happening.

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