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Question
Math
Posted 10 months ago

Catalina read a report saying that the average daily high temperature in Buenos Aires a few years ago was 18.2C18.2^{\circ} \mathrm{C}. She believes that last year was warmer than this. To test her belief, she takes a simple random sample of 20 days from last year and records the daily high temperature on each chosen day.

Let μ\mu represent the average daily high temperature in Buenos Aires last year.

Which of the following is an appropriate set of hypotheses for Catalina's significance test?

Choose 1 answer:
(A)
H0:μ=18.2CHa:μ<18.2C
\begin{array}{l}
H_{0}: \mu=18.2^{\circ} \mathrm{C} \\
H_{\mathrm{a}}: \mu<18.2^{\circ} \mathrm{C}
\end{array}

(B)
H0:μ>18.2CHa:μ=18.2C
\begin{array}{l}
H_{0}: \mu>18.2^{\circ} \mathrm{C} \\
H_{\mathrm{a}}: \mu=18.2^{\circ} \mathrm{C}
\end{array}

(C)
H0:μ=18.2CHa:μ>18.2C
\begin{array}{l}
H_{0}: \mu=18.2^{\circ} \mathrm{C} \\
H_{\mathrm{a}}: \mu>18.2^{\circ} \mathrm{C}
\end{array}

(D)
H0:μ>18.2CHa:μ18.2C
\begin{array}{l}
H_{0}: \mu>18.2^{\circ} \mathrm{C} \\
H_{\mathrm{a}}: \mu \neq 18.2^{\circ} \mathrm{C}
\end{array}
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Answer from Sia
Posted 10 months ago
Solution by Steps
step 2
Formulate the alternative hypothesis (Hₐ) based on Catalina's belief. She believes that the average temperature is higher, so the alternative hypothesis should reflect that the average temperature is greater than the reported average
step 3
Choose the appropriate set of hypotheses. The null hypothesis should be that the average temperature is equal to 18.2°C, and the alternative hypothesis should be that the average temperature is greater than 18.2°C
C
Key Concept
Hypothesis Testing
Explanation
In hypothesis testing, the null hypothesis (H₀) typically states that there is no effect or no difference, and it is what we assume to be true before collecting data. The alternative hypothesis (Hₐ) is what we want to test for; it is a statement that there is an effect or a difference. In this case, since Catalina believes the temperature is higher, Hₐ should reflect that belief.

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