A producer of candy packages hypothesizes that his production does not adhere to the weight standard of 250 grams. As a measure of quality control, he weighs 6 packages and obtains the following results in grams:
\[
238,244,234,243,239,255
\]
Is there sufficient evidence to support the claim that the mean weights of candy packages is different from 250 grams ? Assume that the population distribution of the weights is normal and the significance level is 0.1 .
1. The alternative hypothesis \( H_{1} \) :
\( \mu \) \( \square \)
\( \square \)
2. Compute the statistic: \( 2 \sim \) \( \square \)
Note: Choose Z for z.test (using the standard normal distribution), T for t.test (using the Student distributions), and F for F.test (using the Fisher distributions).
3. Determine the acceptance region (the complementary region to the rejection region): \( \square \)
\( \square \)
Note: Type 00 for Infinity and - -0 for Negative Infinity.
4. Make a conclusion: Select an answer
\( \square \)