Part: $$ 1 / 2 $$ Part 2 of 2 (b) $$ \alpha=0.10, n=26 $$, and $$ H_{1}: \mu \neq \mu_{0} $$ $$ t= $$ $$ \square $$

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To solve this problem, we need to calculate the t-statistic for a hypothesis test. The given conditions are:

- Significance level: $$ \alpha = 0.10 $$
- Sample size: $$ n = 26 $$
- Alternative hypothesis: $$ H_{1}: \mu \neq \mu_{0} $$

However, we need additional information to calculate the t-statistic, such as the sample mean ($$ \bar{x} $$), the population mean under the null hypothesis ($$ \mu_0 $$), and the sample standard deviation ($$ s $$).

The formula for the t-statistic is:

$$
t = \frac{\bar{x} - \mu_0}{s / \sqrt{n}}
$$

Where:
- $$ \bar{x} $$ = sample mean
- $$ \mu_0 $$ = population mean under the null hypothesis
- $$ s $$ = sample standard deviation
- $$ n $$ = sample size

Please provide the values for $$ \bar{x} $$, $$ \mu_0 $$, and $$ s $$ so that we can proceed with the calculation.
To calculate the t-statistic, we need the sample mean ($$ \bar{x} $$), the population mean under the null hypothesis ($$ \mu_0 $$), and the sample standard deviation ($$ s $$). The formula is: $$ t = \frac{\bar{x} - \mu_0}{s / \sqrt{n}} $$ Please provide $$ \bar{x} $$, $$ \mu_0 $$, and $$ s $$ to find the t-value.

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Part 2 of 2
(b) , and

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