Question

In: Statistics and Probability

the quality control manager at a compact fluorecent light bulb factory needs to determine whether the...

the quality control manager at a compact fluorecent light bulb factory needs to determine whether the mean life of a large shipment of CFL is equal to 7500 hours .the population sdtandard deviation is 1000 hours . A random sample of 64 CFL indicate a sample mean life of 7250 hours

Solutions

Expert Solution

Solution:

    We are given that: The population standard deviation is 1000 hours.

That is:

A random sample of 64 CFL indicate a sample mean life of 7250 hours

Sample size = n = 64

Sample mean =

The quality control manager at a compact fluorescent light bulb factory needs to determine whether the mean life of a large shipment of CFL is equal to 7500 hours.

Thus we use the following steps:

Step 1) State null and alternative hypothesis:

since we have to test mean is equal to 7500 or not, this is a nondirectional hypothesis, thus we use the two-tailed test.

Step 2) Find the test statistic:

Step 3) Find z critical value:

Since the level of significance is not given, we use level of significance =

Since this is two tailed, we find: Area =

Look in z table for area = 0.0250 or its closest area and find z value.

Area 0.0250 corresponds to -1.9 and 0.06, that is : z = -1.96

This is two-tailed test thus z critical values are: ( -1.96 , 1.96)

Step 4) Rejection region/ Decision rule:
Reject H0 if z test statistic value < -1.96   or z test statistic value > 1.96, otherwise we fail to reject H0..

Since z test statistic value = -2.00 < z critical value = -1.96 , we reject null hypothesis H0.

Step 5) Conclusion: Since we rejected null hypothesis H0 , we conclude that: the mean life of a large shipment of CFL is different from 7500 hours.


Related Solutions

The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7,527 hours. The population standard deviation is 840 hours. A random sample of 49 light bulbs indicates a sample mean life of7,347 hours. a. At the 0.05 level of​ significance, is there evidence that the mean life is different from 7,527 hours? b. Compute the​ p-value and interpret its meaning. c. Construct a...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7,531 hours. The population standard deviation is 1,080 hours. A random sample of 8181 light bulbs indicates a sample mean life of 7,231 hours. a. At the 0.05 level of​ significance, is there evidence that the mean life is different from 7,531 hours? b. Compute the​ p-value and interpret its meaning. c. Construct...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7544 hours. The population standard deviation is 1080 hours A random sample of 81 light bulbs indicates a sample mean life of 7244 hours. a. At the 0.05 level of​ significance, is there evidence that the mean life is different from 7544 hours? b. Compute the​ p-value and interpret its meaning. c. Construct...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7,476 hours. The population standard deviation is1,080 hours. A random sample of 81 light bulbs indicates a sample mean life of 7,176 hours. a. At the0.05 level of​ significance, is there evidence that the mean life is different from 7,476 hours? b. Compute the​ p-value and interpret its meaning. c. Construct a 95​%...
The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the...
The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a large shipment of CFL's is equal to 7,500 hours. The population standard deviation is 1,000 hours. A random sample of 64 CFL's indicates a sample mean life of 7,250 hours. Level of significance is 0.05. 1. What is the p-value? Round to 4 decimal places i.e 0.0432 2. What is the critical value? Round answer to 4 decimal places i.e....
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7,501 hours. The population standard deviation is 700 hours. A random sample of 49 light bulbs indicates a sample mean life of 7,351 hours. a. At the 0.05 level of​ significance, is there evidence that the mean life is different from 7,501 hours? b. Compute the​ p-value and interpret its meaning. c. Construct...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7,487 hours. The population standard deviation is 1,080 hours. A random sample of 81 light bulbs indicates a sample mean life of 7,187 hours. a. At the 0.05 level of​ significance, is there evidence that the mean life is different from 7,487 hours? b. Compute the​ p-value and interpret its meaning. c. Construct...
The quality control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether...
The quality control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7,500 hours. The population standard deviation is 1,200 hours. A random sample of 64 CFLs indicates a sample mean life of 7,250 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,500 hours? b. Compute the p-value and interpret its meaning. c. Construct...
The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the...
The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7.505 hours. The population standard deviation is 100 hours. A random sample of 64 light bulbs indicates a sample mean life of 7.480 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7.505 hours? b. Compute the p-value and interpret its meaning. c. Construct...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the...
The​ quality-control manager at a compact fluorescent light bulb​ (CFL) factory needs to determine whether the mean life of a large shipment of CFLs is equal to 7 comma 470 hours. The population standard deviation is 100 hours. A random sample of 64 light bulbs indicates a sample mean life of 7 comma 445 hours. a. At the 0.05 level of​ significance, is there evidence that the mean life is different from 7 comma 470 hours question mark b. Compute...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT