
GAS B ASSESSMENT
Authored by GLORY JEAN TIBON
Mathematics
11th Grade
Used 2+ times

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8 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the null hypothesis (H₀) in hypothesis testing for a population proportion?
The population proportion is different from a given value.
The population proportion is equal to a given value.
The population proportion is greater than a given value.
The population proportion is less than a given value.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a hypothesis test, what does the alternative hypothesis (H₁) represent?
The assumption that the population proportion remains the same.
The assumption that there is no significant difference.
The claim that the population proportion has changed.
The assumption that the sample size is too small.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If the level of significance (α) is 0.05, what does this mean?
There is a 5% chance of correctly rejecting the null hypothesis.
There is a 5% chance of incorrectly rejecting the null hypothesis.
The probability of making a correct decision is 5%.
The probability of accepting the null hypothesis is 5%.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A school claims that 70% of its students participate in extracurricular activities. A survey of 150 students found that 105 participated. What is the sample proportion (p̂)?
0.50
0.60
0.70
0.80
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The rejection region is determined by:
The critical value based on the level of significance.
The sample size alone.
The calculated p-value.
The mean and standard deviation of the sample
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If the computed test statistic falls in the rejection region, what should be done?
Accept the null hypothesis.
Reject the null hypothesis.
Increase the sample size and repeat the test.
Change the level of significance.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A hypothesis test was conducted at a 5% significance level, and the computed p-value was 0.03. What should be the conclusion?
Reject the null hypothesis.
Fail to reject the null hypothesis.
Increase the sample size.
Conduct a different test.
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