Read the Following Scenario and Answer the Questions Below

question 27

Multiple Choice

Read the following scenario and answer the questions below.
Thousands of young families moved "over the hills" and into the San Fernando Valley, a suburb of Los Angeles, after World War II. New neighborhoods were springing up, replacing orange groves and open space; roads and schools quickly sprang into existence, trying to keep pace with the rapid population growth. Ringed by beautiful mountains, the entire Los Angeles basin looked like a new, green, sun- filled paradise to the families seeking a fresh start. In the early 1950s, one of the common family chores in Los Angeles was to carry the trash out to the stone incinerator behind the garage where each family burned all of their dry trash. "Wet" garbage was collected and taken to a city dump, where it was burned by the city. Everyone throughout the city either used an incinerator or burned things in an open trash pile; there were over 400,000 backyard trash incinerators. On warm afternoons, eyes would sometimes sting and burn. People would stop, close their eyes, and let the cleansing tears refresh irritated eyes. They accepted this as a normal part of life in sunny California.
-The Los Angeles smog problem is made much worse by _______________

• A)nearby mountains and the warm sunshine, which cause inversion layers
• B)the high cloud levels, which deplete the local ozone layer
• C)the foggy climate, which leads to acidic deposition
• D)the onshore breezes, which prevent pollution from dispersing
• E)the convection cells, which bring pollutants from other cities

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Definitions:

Confidence Estimate

A range of values used to estimate a parameter, calculated in such a way that it is likely, to a specified level of confidence, to contain the true value of the parameter.

Confidence Interval

A set of values, calculated from sample statistics, predicted to hold the value of an unobserved population parameter.

Standard Deviation

A measure of the amount of variation or dispersion of a set of values, indicating how much the values differ from the mean.

T-Distribution

A probability distribution used in statistics that arises when estimating the mean of a normally distributed population in situations where the sample size is small and population variance is unknown.