Part: \( 1 / 5 \) Part 2 of 5 Find the critical values. Round the answer to three decimal places. For \( \alpha=0.10 \), the critical value is 1.282 . For \( \alpha=0.01 \), the critical value is 2.326 .
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Bonus Knowledge
The critical values you provided are derived from the standard normal distribution, which tells us where the tails of the distribution lie for different significance levels. For example, with an alpha level (\( \alpha \)) of 0.10, we're looking at the area in the right tail of the curve, and a critical value of 1.282 means there's a 10% chance of finding a value greater than this in a standard normal distribution. In real-life applications, these critical values come in handy when conducting hypothesis tests. If your calculated test statistic exceeds the critical value, you can reject the null hypothesis. This helps businesses make informed decisions based on statistical evidence, such as determining if a new marketing strategy significantly increases sales or if a product meets quality standards.
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