The question aims to find out the p-value using the given alternative hypothesis, which is a one-sided hypothesis. Therefore, the p-value will be determined for the left tail test with reference to the standard normal probability table. When the alternative hypothesis states that a certain value for a parameter in the null hypothesis is lesser than the actual value, then left-tail tests are used.Let’s first understand the difference between the Null and Alternative hypotheses. Null hypothesis $H_o$ refers to no association between two parameters of the population, meaning both are the same. Alternative hypothesis $H_a$ is opposite to the null hypothesis and states that there is a difference between two parameters.

In order to calculate the p-value, we will use the standard normal table. According to the given information, the value of the test statistic is given as:\[ z = -1.74 \]Null hypothesis $H_o$ is given as:\[ p = 0.5 \]Alternative Hypothesis $H_a$ is given as:\[ p < 0.5 \]The formula for p-value is given as:\[ p = P (Z < z) \]Where

For the given problem, the p-value will be determined using the standard probability table. Check against the row starting with -1.74 and column with 0.04. The answer obtained will be:\[ p = P ( Z< -1.74) \]

For a test of $H_o$: \[ p = 0.5 \], the $z$ test statistic equals 1.74. Find the p-value for \[ H_a: p>0.5 \].In this example, the value of test statistic $z$ is 1.74, therefore, it is a right tail test.For calculating the p-value for a right tail test, the formula is given as:\[ p = 1 – P ( Z > z) \]\[ p = 1 – P ( Z > 1.74) \]Now use the standard probability table to find the value.The p-value is given as:\[ p = 1 – 0.9591 \] \[ p = 0.0409 \]Therefore, the p-value is

**Expert Solution:**

In order to calculate the p-value, we will use the standard normal table. According to the given information, the value of the test statistic is given as:\[ z = -1.74 \]Null hypothesis $H_o$ is given as:\[ p = 0.5 \]Alternative Hypothesis $H_a$ is given as:\[ p < 0.5 \]The formula for p-value is given as:\[ p = P (Z < z) \]Where **P**is the probability:\[ p = P (Z < -1.74) \]The p-value can be calculated by determining the probability less than -1.74 using the standard normal table. Therefore, from the table p-value is given as:**\[ p = 0.0409 \]****Alternative Solution:**

For the given problem, the p-value will be determined using the standard probability table. Check against the row starting with -1.74 and column with 0.04. The answer obtained will be:\[ p = P ( Z< -1.74) \]**\[ p = 0.0409 \]****Therefore, the p-value for $H_a$ < 0.5 is 0.0409.****Example:**

For a test of $H_o$: \[ p = 0.5 \], the $z$ test statistic equals 1.74. Find the p-value for \[ H_a: p>0.5 \].In this example, the value of test statistic $z$ is 1.74, therefore, it is a right tail test.For calculating the p-value for a right tail test, the formula is given as:\[ p = 1 – P ( Z > z) \]\[ p = 1 – P ( Z > 1.74) \]Now use the standard probability table to find the value.The p-value is given as:\[ p = 1 – 0.9591 \] \[ p = 0.0409 \]Therefore, the p-value is**0.0409**.