Question
Please solve using minitab and explain steps. Please show all work
9.14 The quality-control manager at a light emitting diode (LED) factory needs to determine whether the mean life of a large shipment of LEDs is equal to 50,000 hours. SELF TEST
mple Tests The population standard deviation is 1,500 hours, A of 64 LEDs indicates a sample mean life of 49.875 a. At the 0.05 level of significance, is there evidence that ours. the life is different from 50,000 hours?
0 0
Add a comment Improve this question Transcribed image text
Answer #1

Claim: Mean life of shipment of LED's is 50000 hours that is μ = 50000

Step 1: To write the null and alternative hypothesis

Ho : μ = 50000(claim) and H1 : μ 50000

Step 2: Test statistics

Here the population standard deviation is known so the z test is applicable.

The formula of test statistics is

Z = rac{ar x - mu }{sigma /sqrt{n}}

Where r-sample mean = 49875. σ-population standard deviation 1500

μ = 50000 . n-sample size = 64

μ-49875-50000 σ/νη Z = x ー-0.67 1500/V64

Step 3: Critical value

Here the alternative hypothesis contains not equal to sign so the test is two tailed test.

There are 2 critical values both are same just opposite in sign.

Here alpha (level of significance) = 0.05

Alpha/2 = 0.05/2 = 0.025

Search 0.025 in the middle body of table and then take the corresponding z score. The corresponding z score is -1.96

So the Critical values are -1.96 and 1.96

Step 4: Decision rule

If test statistics falls between both the critical values then we fail to reject the null hypothesis otherwise we reject the null hypothesis.

Here test statistics -0.67 falls between -1.96 and 1.96, so we fail to reject the null hypothesis.

Step 5: Conclusion

Fail to reject the null hypothesis, that is there is no sufficient evidence that the mean life is different from 50000 hours.

Add a comment
Know the answer?
Add Answer to:
Please solve using minitab and explain steps. Please show all work 9.14 The quality-control manager at...
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. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • The quality control manager at a light bulb factory needs to determine whether the mean life...

    The quality control manager at a light bulb factory needs to determine whether the mean life of a large shipment of light bulbs is equal to 375.00 hours. The STDEV.P = 100.00 hours. A random sample of 64 light bulbs indicates a MEAN.S of 350.00 hours a) At the 0.05 level of significance, is there evidence that the mean life is different from 375.00 hours? (define the Ho and H1) (explain whether you will reject or not reject HO) (check...

  • this problem requires PhStat solution. The quality-control manager at a compact fluorescent light bulb (CFL) factory...

    this problem requires PhStat solution. 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 1,000 hours. A random sample of 64 CFLs indicate a sample mean life of 7,250 hours. 1. At 0.05 level of significance, state your decision. 2. Using the critical value approach, is there evidence that the mean life is different from...

  • Confidence Interval The quality-control manager at a light bulb factory needs to determine whether the mean...

    Confidence Interval The quality-control manager at a light bulb factory needs to determine whether the mean life of a large shipment of light bulbs is equal to 375 hours. The population standard deviation is 120 hours. A random sample of 64 light bulbs indicates a sample mean life of 350 hours. 1. At the 95% confidence level, what is the critical value? 39. What is the confidence interval based on this data? 2. Is there evidence that the mean life...

  • 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 7,520 hours. The population standard deviation is 840 hours. A random sample of 49 light bulbs indicates a sample mean life of 7,340 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,520 hours? b. Compute the p-value and interpret its meaning. c. Construct...

  • I will be sure to rate well, Thanks! The quality-control manager at a compact fluorescent light...

    I will be sure to rate well, Thanks! 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 7,498 hours. The population standard deviation is 700 hours. A random sample of 49 light bulbs indicates a sample mean life of 7,348 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,498 hourst b. Compute...

  • 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 7.496 hours. The population standard deviation is 92 hours. A random sample of 64 light bulbs indicatos a sample mean life of 7,473 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,496 hours? b. Compute the p-value and interpret its meaning. c....

  • please show all work and steps Minitab Problem 3 Imagine choosing n = 16 women at...

    please show all work and steps Minitab Problem 3 Imagine choosing n = 16 women at random from a large population and measuring their heights. Assume that the heights of the women in this population are normal, with u = 64 inches and o= 3 inches. Suppose you then test the null hypothesis Ho: u=64 versus the alternative that Hi: u #64, using a=0.10. Assume o is known. Simulate the results of doing this test 20 times by generating 20...

  • The quality control manager at a light bulb factory needs to estimate the mean life of...

    The quality control manager at a light bulb factory needs to estimate the mean life of a large shipment of light bulbs. The standard deviation is 92 hours. A random sample of 64 light bulbs indicated a sample mean life of 360 hours. Complete parts (a) through (d) below. that the lightbulbs have a mean life of 410 hours. c. Must you assume that the population light bulb life is normally distributed? Explain. O A. Yes, the sample size is...

  • Please show all work (using a t-test), thank you. 2. You are the manager of a...

    Please show all work (using a t-test), thank you. 2. You are the manager of a restaurant that delivers pizza to college dormitory rooms. You have just changed your delivery process in an effort to reduce the mean time between the order and the completion of delivery from the current 25 minutes. A sample of 36 orders using the new delivery process yields a sample mean of 22.4 minutes and a sample standard deviation of 6 minutes. What are the...

  • Directions: Please show your work. Submitting answers only will not earn you full credit for a...

    Directions: Please show your work. Submitting answers only will not earn you full credit for a given problem. Showing work includes, but is not limited to: formulas, graphs, and calculations. If you use the web calculator, StatCrunch, Minitab, Excel, Table V, Graphing Calculator, etc…, you must include your output with your answer (I suggest using the Snipping Tool in Windows). Use the prescribed method of test (Classical or P-value) for each question. Follow all the steps used in hypothesis testing...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT