A new brand ofbattery for use in calculators and cameras is said to last significantly longer than another brand. A camera manufacturer is to test this brand (Y) with brand (X) to see if brand Y has a longer life. If brand Y does last longer, the camera manufacturer will equip their new cameras with them. If not, they will equip them with brand X that is less costly. Twenty cameras are equipped as follows: ten with brand Y batteries and ten with brand X batteries and the life of the batteries measured. Is brand Y superior (does it last longer) to brand X? To answer this question, the camera manufacturer uses a 0.01 significance level and knows that the populations are normally distributed with equal variances. Sample data are: Brand X Brand Y R = 10 n, = 10 = 500 hours X, = 650 hours = 400 = 484 State the null and alternative hypotheses. а. Но: Hi: b. What is the test statistic? Appropriate test: Test statistic = с. What is the decision rule? d. State the conclusion.

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A new brand of battery for use in calculators and cameras is said to last significantly longer than another brand. A camera manufacturer is to test this brand (\( Y \)) with brand (\( X \)) to see if brand \( Y \) has a longer life. If brand \( Y \) does last longer, the camera manufacturer will equip their new cameras with them. If not, they will equip them with brand \( X \) that is less costly. Twenty cameras are equipped as follows: ten with brand \( Y \) batteries and ten with brand \( X \) batteries and the life of the batteries is measured. Is brand \( Y \) superior (does it last longer) to brand \( X \)? To answer this question, the camera manufacturer uses a 0.01 significance level and knows that the populations are normally distributed with equal variances. Sample data are:

| Brand X               | Brand Y               |
|-----------------------|-----------------------|
| \( n_1 = 10 \)        | \( n_2 = 10 \)        |
| \( \bar{X}_1 = 500 \text{ hours} \) | \( \bar{X}_2 = 650 \text{ hours} \) |
| \( s_1^2 = 400 \)     | \( s_2^2 = 484 \)     |

a. State the null and alternative hypotheses.
- \( H_0: \) ____________________
- \( H_1: \) ____________________

b. What is the test statistic?
- Appropriate test: ____________________
- Test statistic = ____________________

c. What is the decision rule?

d. State the conclusion.
Transcribed Image Text:A new brand of battery for use in calculators and cameras is said to last significantly longer than another brand. A camera manufacturer is to test this brand (\( Y \)) with brand (\( X \)) to see if brand \( Y \) has a longer life. If brand \( Y \) does last longer, the camera manufacturer will equip their new cameras with them. If not, they will equip them with brand \( X \) that is less costly. Twenty cameras are equipped as follows: ten with brand \( Y \) batteries and ten with brand \( X \) batteries and the life of the batteries is measured. Is brand \( Y \) superior (does it last longer) to brand \( X \)? To answer this question, the camera manufacturer uses a 0.01 significance level and knows that the populations are normally distributed with equal variances. Sample data are: | Brand X | Brand Y | |-----------------------|-----------------------| | \( n_1 = 10 \) | \( n_2 = 10 \) | | \( \bar{X}_1 = 500 \text{ hours} \) | \( \bar{X}_2 = 650 \text{ hours} \) | | \( s_1^2 = 400 \) | \( s_2^2 = 484 \) | a. State the null and alternative hypotheses. - \( H_0: \) ____________________ - \( H_1: \) ____________________ b. What is the test statistic? - Appropriate test: ____________________ - Test statistic = ____________________ c. What is the decision rule? d. State the conclusion.
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