A research center claims that at least \( 29 \% \) of adults in a certain country think that their taxes will be audited. In a random sample of 1100 adults in th country in a recent year, \( 24 \% \) say they are concerned that thoir taxes will be audited. At \( \alpha=0.10 \), is there enough evidence to reject the center's clai Complete parts (a) through (d) below. 2. Ine percentage or aauts in the country who think that their taxes will De auarea is not \( \square \) \%. C. At least \( 20 \% \) of adulte in the coumtry think that their taxes will be audited. D. \( \% \) of adults in the country think that their taxes will be audited. Let p be the population proportion of successes, where a success is an adult in the country who thinks that their taxes will be audited. State \( H_{0} \) an Select the correct choice below and fill in the answer boxes to complete your choice. (Round to two decimal places as needed.) A. \( H_{0}: p< \) \( \square \) B. \( H_{0}: p \neq \) \( \square \) \( H_{a}: p \geq \) \( \square \) \( H_{3}: p= \) \( \square \) D. \( H_{0}: p> \) \( \square \) E E. \( H_{0}: p \geq 0.29 \) \( H_{a}: p \leq \) \( \square \) C. \( H_{0}: p \leq \) \( \square \) \( H_{a}: p> \) \( \square \) F. \( H_{0}: p= \) \( \square \) \[ \mathrm{H}_{a}: \mathrm{p} \neq \] (b) Find the critical value(s) and identify the rejection region(s). Identify the critical value(s) for this test. \[ z_{0}=\square \] (Round to two decimal places as needed. Use a comma to separate answers as needed.)
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The Deep Dive
To address the claim made by the research center, we first need to formulate our hypotheses. This typically involves stating a null hypothesis \(H_0\) and an alternative hypothesis \(H_a\). In this case, since the claim is that at least \(29\%\) of adults think their taxes will be audited, we set the null hypothesis as: **\( H_{0}: p \geq 0.29 \)** Contrarily, our alternative hypothesis will be: **\( H_{a}: p < 0.29 \)** Now, for part (b), to find the critical value(s) at a significance level of \( \alpha = 0.10 \), we need to determine where the lower 10% of the standard normal distribution lies (because we're performing a one-tailed test). For a significance level of \(0.10\), the critical value \(z_0\) can be found using z-tables or statistical software, and it is roughly: **\( z_0 = -1.28 \)** This means any calculated z-value less than \(-1.28\) will fall into the rejection region, allowing us to reject the null hypothesis. Now, let's set up: **(b)** The critical value for this test is \(z_{0} = -1.28\). The rejection region will include z values less than -1.28.