Question
It is claimed that 90% of the students in STSA 1 class will pass their test. After the test a random sample of 50 students shows that 46 passed the test. Use an appropriate test on a 0,01 level of significance to investigate the claim. Determine the critical value.
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GPT 3.5
To investigate the claim, we can use a hypothesis test. Let's set up the null and alternative hypotheses:
Null hypothesis (H0): The proportion of students passing the test is 90% (P = 0.9)
Alternative hypothesis (Ha): The proportion of students passing the test is not equal to 90% (P ≠ 0.9)
We will use the z-test for proportions since the sample size is large (n = 50) and the data is binomial (pass or fail). The test statistic for the z-test is calculated as:
z = (p̂ - P) / √(P * (1-P) / n)
Where p̂ is the sample proportion, P is the hypothesized proportion, and n is the sample size.
From the given data, p̂ (sample proportion) = 46/50 = 0.92.
P (hypothesized proportion) = 0.9.
n (sample size) = 50.
Calculating the test statistic:
z = (0.92 - 0.9) / √(0.9 * (1-0.9) / 50)
= 0.02 / √(0.09 / 50)
= 0.02 / √0.0018
= 0.02 / 0.0424264
= 0.472
To find the critical value, we need to determine the z-score corresponding to a 0.01 level of significance. For a two-tailed test, the critical value is z = ±2.575.
Therefore, the critical value for this test is 2.575.
Null hypothesis (H0): The proportion of students passing the test is 90% (P = 0.9)
Alternative hypothesis (Ha): The proportion of students passing the test is not equal to 90% (P ≠ 0.9)
We will use the z-test for proportions since the sample size is large (n = 50) and the data is binomial (pass or fail). The test statistic for the z-test is calculated as:
z = (p̂ - P) / √(P * (1-P) / n)
Where p̂ is the sample proportion, P is the hypothesized proportion, and n is the sample size.
From the given data, p̂ (sample proportion) = 46/50 = 0.92.
P (hypothesized proportion) = 0.9.
n (sample size) = 50.
Calculating the test statistic:
z = (0.92 - 0.9) / √(0.9 * (1-0.9) / 50)
= 0.02 / √(0.09 / 50)
= 0.02 / √0.0018
= 0.02 / 0.0424264
= 0.472
To find the critical value, we need to determine the z-score corresponding to a 0.01 level of significance. For a two-tailed test, the critical value is z = ±2.575.
Therefore, the critical value for this test is 2.575.
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