Cross-topic review exercise 2: check 1
Difficulty: ★★☆Info
Maths4U Original · Short practice
X has density \(\displaystyle \frac{2x}{121}\) on \(0\le x\le 11\). Define \(\displaystyle Y=X^{2}\). For \(0\le y\le 121\), \(\displaystyle F_{Y}(y)= P(X\le \sqrt{y})= \frac{y}{121}\).
Find the constant density of Y on its support.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Cross-topic review exercise 2: review variant 1
Difficulty: ★★☆Info
Maths4U Original · Short practice
X has density \(\displaystyle \frac{2x}{144}\) on \(0\le x\le 12\). Define \(\displaystyle Y=X^{2}\). For \(0\le y\le 144\), \(\displaystyle F_{Y}(y)= P(X\le \sqrt{y})= \frac{y}{144}\).
Find the constant density of Y on its support.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Cross-topic review exercise 2: check 2
Difficulty: ★★☆Info
Maths4U Original · Short practice
Two independent normal populations have a common unknown variance. Sample sizes are 9 and 8, their unbiased variances are 6 and 6, and \(\displaystyle \bar x_1-\bar x_2=\frac{3}{2}\).
Use \(\displaystyle H_{1}: \mu _{1}>\mu _{2}\) and a 5% significance level for the written test conclusion.
Find the standard error of the mean difference.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Cross-topic review exercise 2: review variant 2
Difficulty: ★★☆Info
Maths4U Original · Short practice
Two independent normal populations have a common unknown variance. Sample sizes are 10 and 9, their unbiased variances are 7 and 7, and \(\bar x_1-\bar x_2=2\).
Use \(\displaystyle H_{1}: \mu _{1}>\mu _{2}\) and a 5% significance level for the written test conclusion.
Find the standard error of the mean difference.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Cross-topic review exercise 2: check 3
Difficulty: ★★☆Info
Maths4U Original · Short practice
Independent observations form the following two-by-three table. Test independence without a continuity correction.
| Group | Category A | Category B | Category C |
|---|---|---|---|
| I | 26 | 36 | 31 |
| II | 36 | 26 | 31 |
Use a 5% significance level for a written conclusion. A distribution calculator may be used for numerical p-values.
Find the p-value.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Cross-topic review exercise 2: review variant 3
Difficulty: ★★☆Info
Maths4U Original · Short practice
Independent observations form the following two-by-three table. Test independence without a continuity correction.
| Group | Category A | Category B | Category C |
|---|---|---|---|
| I | 27 | 37 | 32 |
| II | 37 | 27 | 32 |
Use a 5% significance level for a written conclusion. A distribution calculator may be used for numerical p-values.
Find the p-value.
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Cross-topic review exercise 2: check 4
Difficulty: ★★☆Info
Maths4U Original · Short practice
\(\displaystyle X_{1}\),…,\(\displaystyle X_{m}\) are independent \(\displaystyle \operatorname{Bin}(3,\frac{2}{5})\) variables, with \(\displaystyle m=2\). Let S be their sum. Thus \(G_S(t)=(1-p+pt)^{6}\).
Find \(\displaystyle P(S=1)\).
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.
Cross-topic review exercise 2: review variant 4
Difficulty: ★★☆Info
Maths4U Original · Short practice
\(\displaystyle X_{1}\),…,\(\displaystyle X_{m}\) are independent \(\displaystyle \operatorname{Bin}(4,\frac{1}{2})\) variables, with \(\displaystyle m=3\). Let S be their sum. Thus \(G_S(t)=(1-p+pt)^{12}\).
Find \(\displaystyle P(S=1)\).
Enter one number or fraction. Use at least six decimal places when needed; a distribution calculator may be used for probabilities.