The Following Data Show the Relationship Between the Number of Drivers

question 59

Multiple Choice

The following data show the relationship between the number of drivers who leave for work at 8:00 am,their average commute times,and their marginal benefit associated with the commute times. $$\begin{array} { c c c } \begin{array} { c } \text { Number of drivers } \\\underline { \text { that leave at 8:00am }}\end{array} & \begin{array} { c } \text { Average commute } \\\underline { \text { time to downtown }}\end{array} & \begin{array} { c } \text { Marginal } \\\underline { \text { Benefit }}\end{array} \\ 100 & 30 \text { minutes } & \$ 10 \\200 & 65 \text { minutes } & \$ 8 \\300 & 110 \text { minutes } & \$ 4 \\400 & 170 \text { minutes } & \$ 3 \\500 & 260 \text { minutes } & \$ 1\end{array}$$
Refer to the information given above.If commuters view the highway as having a zero price,one can predict that __________ drivers will leave for downtown at 8:00 am:

• A)500
• B)400
• C)300
• D)200

Understand the characteristics and functions of long-term financial instruments.

Understanding the role and functions of mutual funds in the financial market.

Comprehend the factors influencing stock prices including demand and supply.

Identifying the risk levels associated with different types of bonds.

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Definitions:

Expected Frequencies

Predicted counts of occurrences across different categories based on a statistical model.

Chi-square Statistic

A measure used in statistics to analyze the independence of two categorical variables and assess how likely it is that any observed difference between sets occurred by chance.

Chi-square Statistic

A statistical measure used to evaluate the differences between observed and expected frequencies in one or more categories of a contingency table.