Lesson S5.3.1
S5.3.1 Hypothesis test for the mean of a Normal distribution Quiz: Pearson Edexcel Maths, Unit 15
20 questions
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Lesson S5.3.1, Hypothesis test for the mean of a Normal distribution: 20 multiple choice questions for the Pearson Edexcel Maths (9MA0), Unit 15: Statistical hypothesis testing, written with Revision Ninja.
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The 20 questions
-
What distribution is assumed for the population when testing a normal mean with known variance?
- Normal distribution
- Student's t-distribution
- Poisson distribution
- Binomial distribution
-
Which test statistic is used for the mean of a normal distribution with known variance?
- T
- Chi-squared
- Pearson's r
- Z
-
What must be known about the population variance to use a Z-test for the mean?
- It is zero
- It is known
- It is unknown
- It is estimated
-
What is the null hypothesis for a population mean mu testing against a specific value mu_0?
- mu != mu_0
- mu > mu_0
- mu < mu_0
- mu = mu_0
-
If a test is two-tailed at a 5 percent significance level, what is the tail probability on each side?
- 2.5 percent
- 5 percent
- 1 percent
- 10 percent
-
What is the standard error of the sample mean X-bar given sample size n and population variance sigma squared?
- sigma / n
- sigma / sqrt(n)
- sqrt(sigma) / n
- sigma squared / n
-
Which type of alternative hypothesis indicates a one-tailed test looking for an increase?
- mu = mu_0
- mu != mu_0
- mu < mu_0
- mu > mu_0
-
What is the critical region for a test defined by values less than the critical value called?
- Lower tail
- Upper tail
- Central region
- Two-tailed
-
Calculate the test statistic Z if sample mean is 52, population mean 50, variance 16, and sample size 16.
- 1
- 4
- 0.5
- 2
-
Find the Z critical value for a upper one-tailed test at the 5 percent significance level.
- 1.9600
- 1.2816
- 2.5758
- 1.6449
-
Find the Z critical value for a two-tailed test at the 5 percent significance level.
- 2.5758
- 1.6449
- 1.9600
- 2.3263
-
Determine the p-value area for a calculated Z of 2.0 in a one-tailed upper test.
- 0.0228
- 0.9772
- 0.0500
- 0.0456
-
State the decision rule to reject H_0 if the test statistic falls inside what?
- Confidence interval
- Sample space
- Acceptance region
- Critical region
-
What term describes the probability of rejecting a true null hypothesis?
- Significance level
- Power
- P-value
- Type II error
-
What is a Type II error in hypothesis testing?
- Rejecting false H_0
- Accepting true H_0
- Rejecting true H_0
- Accepting false H_0
-
If a sample mean gives Z = 2.33, do you reject H_0 at the 2 percent upper significance level (critical value 2.05)?
- Reject H_0
- Do not reject H_0
- Accept H_0
- Inconclusive
-
What sample distribution property allows Z-tests to work for any sample size if the population is normal?
- Uniform variance
- Asymptotic bias
- Central Limit Theorem
- Exact normality
-
How does increasing the sample size n affect the standard error of the sample mean?
- Increases it
- No effect
- Decreases it
- Doubles it
-
What is the conclusion if the calculated p-value is less than the significance level alpha?
- Retain H_0
- Revise alpha
- Accept H_0
- Reject H_0
-
What is the alternative hypothesis if testing for a decrease in the population mean?
- mu > mu_0
- mu < mu_0
- mu = mu_0
- mu != mu_0
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