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20. Express the null hypothesis and the alternative hypothesis in symbolic form. Use the correct symbol [tex]$(\mu, p , \sigma )$[/tex] for the indicated parameter.

A researcher claims that [tex]$62\%$[/tex] of voters favor gun control.

A.
[tex]$
\begin{array}{l}
H_0: p\ \textless \ 0.62 \\
H_1: p \geq 0.62
\end{array}
$[/tex]

B.
[tex]$
\begin{array}{l}
H_0: p=0.62 \\
H_1: p \neq 0.62
\end{array}
$[/tex]

C.
[tex]$
\begin{array}{l}
H_0: p \geq 0.62 \\
H_1: p\ \textless \ 0.62
\end{array}
$[/tex]

D.
[tex]$
\begin{array}{l}
H_0: p \neq 0.62 \\
H_1: p=0.62
\end{array}
$[/tex]


Sagot :

To express the null hypothesis ([tex]\(H_0\)[/tex]) and the alternative hypothesis ([tex]\(H_1\)[/tex]) in symbolic form given that a researcher claims that 62% of voters favor gun control, we use the parameter [tex]\( p \)[/tex], which represents the proportion of voters favoring gun control.

We start with the claim that the proportion [tex]\( p \)[/tex] is equal to 0.62. This translates to:

- The null hypothesis ([tex]\(H_0\)[/tex]) represents the initial assumption or the default claim. Here, it will state that the proportion is equal to 0.62.
- The alternative hypothesis ([tex]\(H_1\)[/tex]) represents what we want to test against the null hypothesis. Since the problem states a specific value (0.62), we use a two-tailed test notation. Therefore, [tex]\(H_1\)[/tex] will state that the proportion is not equal to 0.62.

In symbolic form, the hypotheses can be expressed as:

[tex]\[ \begin{array}{l} H_0: p = 0.62 \\ H_1: p \neq 0.62 \end{array} \][/tex]

This is the correct way to express the hypotheses given the researcher's claim.