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14 October, 22:40

Assume that a hypothesis test of the given claim will be conducted. Identify the type I or type II error for the test. The principal of a school claims that the percentage of students at his school that come from single - parent homes is 11 %. Identify the type II error for the test.

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  1. 14 October, 23:03
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    Type I error: Concluded that p ≠ 11% when it is 11%.

    Type II error: Concluded that p = 11% when it is not 11%.

    Step-by-step explanation:

    A type I error is the rejection of the null hypothesis (H₀) when indeed the null hypothesis is true. It is symbolized by α.

    A type II error is failing to discard the null hypothesis when indeed the null hypothesis is false. It is symbolized by β.

    In this case a principal of a school claims that the percentage of students at his school that come from single-parent homes is 11%.

    The hypothesis to test this claim is:

    H₀: The proportion of students at the school that come from single-parent homes is 11%, i. e. p = 0.11.

    Hₐ: The proportion of students at the school that come from single-parent homes is not 11%, i. e. p ≠ 0.11.

    The type I error will be committed when it is concluded that the proportion of students at the school that come from single-parent homes is not 11% when in fact it is 11%. The type II error will be committed when it is concluded that the proportion of students at the school that come from single-parent homes is 11% when it is not.
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