Question

A marketing company claims that it receives more than 6.5% responses from its Mailing. A sample...

A marketing company claims that it receives more than 6.5% responses from its Mailing. A sample of 600 mails yesterday revealed 50 responses. At the 0.10 level of significance, can we conclude that the claim is true? *

Homework Answers

Answer #1

Solution:

1)

The null and alternative hypothesis are

H0 : p = 0.065 vs Ha : p > 0.065

2)

n = 600

x = 50

Let   be the sample proportion.

= x/n = 50/600 = 0.0833

The test statistic z is

z =   

=  (0.0833 - 0.065)/[0.065*(1 - 0.065)/600]

= 1.82

Test Statistic z = 1.82

3)

> sign in Ha indicates that the test is "RIGHT TAILED"

For right tailed z test ,

p value = P(Z > z) = P(Z > 1.82) = 1 - P(Z < 1.82) = 1 - 0.9656 = 0.0344

p value = 0.0344

4)

Decision :

p value is less than given significance level α = 0.10

Reject the null hypothesis H0

5)

Conclusion:

Yes , there is sufficient evidence to support the claim that more that 6.5% responses from its Mailing.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
3. A marketing company claims that it receives more than 6.5% responses from its Mailing. A...
3. A marketing company claims that it receives more than 6.5% responses from its Mailing. A sample of 600 mails yesterday revealed 50 responses. At the 0.10 level of significance, can we conclude that the claim is true? *
A marketing company claims that it receives more than 6.5% responses from its Mailing. A sample...
A marketing company claims that it receives more than 6.5% responses from its Mailing. A sample of 600 mails yesterday revealed 54 responses. At the 0.05 level of significance, can we conclude that the claim is true?
A marketing company claims that it receives 10% responses from its mailing. To test this claim,...
A marketing company claims that it receives 10% responses from its mailing. To test this claim, a random sample of 500 were surveyed with 40 responses. Form a 95% confidence interval to make a decision on the claim. Group of answer choices Do not reject the null (Ho: ? = 0.1) because the 95% CIE is (0.0562, 0.1038) Reject the null (Ho: ? = 0.1) because the 95% CIE is (0.0562, 0.1038) Do not reject the null (Ho: ? =...
A marketing manager for a cell phone company claims that the percentage of children aged 8-12...
A marketing manager for a cell phone company claims that the percentage of children aged 8-12 who have cell phones differs from 61%. In a survey of 826 children aged 8-12 by a national consumers group, 545 of them had cell phones. Can you conclude that the manager's claim is true? Use the α=0.10 level of significance and the P-value method with the TI-84 Plus calculator. a. state null and alternative hypothesis. what tail is the hypothesis test? b. Compute...
Chicken Delight claims that 90% of its orders are delivered within 10 minutes of the time...
Chicken Delight claims that 90% of its orders are delivered within 10 minutes of the time the order is placed. A sample of 100 orders revealed that 92 were delivered within the promised time. At the .10 significance level, can we conclude that more than 90% of the orders are delivered in less than 10 minutes?
Question-A cosmetic company claims that its customers spend an average of more than $3,000 a year...
Question-A cosmetic company claims that its customers spend an average of more than $3,000 a year on makeup. A random sample of 60 customers gave a mean of $3,250 with a standard deviation of $1,620. At ? =0.10, can you conclude than the mean customer spending on makeup is more than $3,000? Show all steps of the hypothesis test: Hypotheses, Alpha, Distribution, Sketch with Critical Value, Calculate Test Statistic by hand and put on Sketch, Decision, Conclusion.
A company that produces cell phone batteries claims their new battery last more than 30 hours....
A company that produces cell phone batteries claims their new battery last more than 30 hours. To investigate this claim a consumer advocacy group collected the following random sample for number hours that each battery worked: 50, 40, 35, 25, 60, 45, 30, 50, 30, 10. Is there a sufficient evidence to accept the company’s claims using 0.01 significance level?
. A company that receives shipments of batteries tests a random sample of nine of them...
. A company that receives shipments of batteries tests a random sample of nine of them before agreeing to take a shipment. The company concerned that the true mean lifetime of all batteries in the shipment should be at least 50 hours. From past experience it is safe to conclude that the population distribution of lifetimes is normal with standard deviation of 3 hours. For one particular shipment the mean lifetime for a sample of nine batteries was 48.2 hours....
40. A cell phone manufacturer claims that its phone will last for more than 8 hours...
40. A cell phone manufacturer claims that its phone will last for more than 8 hours of continuous talk time when the battery is fully charged. To test this claim at a​ 10% level of​ significance, a random sample of 18 phones were selected. The results showed a sample mean of 8.2 hours and a sample standard deviation of 0.4 hour. Based on the data and hypothesis​ test, can you dispute the cell phone​ manufacturer’s claim? A. YES B. NO...
Young and Company claims that its pressurized diving bell will, on average, maintain its integrity to...
Young and Company claims that its pressurized diving bell will, on average, maintain its integrity to depths of 2500 feet or more. You take a random sample of 50 of the bells. The average maximum depth for bells in your sample is 2455 feet. Set up an appropriate hypothesis test using Young and Company’s claim as the null hypothesis. Assume the population standard deviation is 200 feet. Use a 5% significance level. What is the p-value that you calculate for...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT