Question

10) A battery manufacturer is developing a new battery to be used for the iPhone 10....

10) A battery manufacturer is developing a new battery to be used for the iPhone 10. Before they will switch to the new design, they need to verify that the new battery will outperform (measured as hours of continuous music play) the current battery. a) State the Hypothesis to show the new battery design has longer playing time than the current battery design. b) Choose a level of a. Use a = 0.05 for this problem. c) To test the hypothesis, the battery manufacturer tests 30 iPhone 7s with the new battery design and 30 iPhone 10s with the current battery design. The data appear in the iPhone worksheet of the HW1 data workbook on Moodle. Collect data and calculate necessary statistics to test the hypothesis. d) Sketch the sampling distribution. Include the critical value and test statistic e) Draw a conclusion and report that in the problem context. f) Calculate the p-value for the hypothesis test g) Use Excel to perform the hypothesis test.

New Current
13.3 14.2
16.4 12.9
13.9 14.5
15.4 14.9
15.1 15
14.6 15.1
14.9 13.2
17.2 14
14.2 15.1
17.3 13.8
14.8 15.4
16.3 15.8
16 15.9
15.5 16
15.8 14.1
18.1 14.9
12.8 13.7
15.9 12.4
13.4 14
14.9 14.4
14.6 14.5
14.1 14.6
14.4 12.7
16.7 13.5
13.7 14.6
16.8 13.3
14.3 14.9
15.8 15.3
15.5 15.4
15 15.5
0 0
Add a comment Improve this question Transcribed image text
Know the answer?
Add Answer to:
10) A battery manufacturer is developing a new battery to be used for the iPhone 10....
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
  • Consider the viscosity sample data presented in class, You learn from your client that her viscosity...

    Consider the viscosity sample data presented in class, You learn from your client that her viscosity specification is between 12.5 cs and 17.5 cs. What percentage of batches do you expect to be “out of spec”? 13.3 14.5 15.3 15.3 14.3 14.8 15.2 14.5 14.6 14.1 14.3 16.1 13.1 15.5 12.6 14.6 14.3 15.4 15.2 16.8 14.9 13.7 15.2 14.5 15.3 15.6 15.8 13.3 14.1 15.4 15.2 15.2 15.9 16.5 14.8 15.1 17 14.9 14.8 14 15.8 13.7 15.1 13.4...

  • The following data are product weights for the same items produced on two different production lines....

    The following data are product weights for the same items produced on two different production lines. Test for a difference between the product weights for the two lines. Use . Line 1 Line 2 13.7 14.1 13.7 14.7 13.0 13.9 14.4 13.9 13.3 13.8 13.3 15.0 13.5 13.6 13.4 14.6 13.6 14.0 14.0 13.7 14.9 13.6 What is the value of the test statistic? Enter negative value as negative number. (to 2 decimals) What is the -value for the hypothesis...

  • can u clearly show me how to find a sample size (N) , A2, and can...

    can u clearly show me how to find a sample size (N) , A2, and can you also tell me why we are using an X Chart? Problem 1 A restaurant wants to control kitchen preparation time of dinner meals using an X chart. The process standard deviation is unknown. Each evening a manager takes a random sample of 14 dinner orders and measures and records their kitchen preparation time. Create an X Chart using data in the table below...

  • 7.Physical Characteristics of sharks are of interest to surfers and scuba divers as well as to...

    7.Physical Characteristics of sharks are of interest to surfers and scuba divers as well as to marine researchers. Because it is difficult to measure jaw width in living sharks, researchers would like to determine whether it is possible to estimate jaw width from body length, which is more easily measured. The following data on x = length (in feet) and y = jaw width (in inches) for 44 sharks was found in various articles appearing in the magazines Skin Diver...

  • R programming: MPG   GPM   WT   DIS   NC   HP   ACC   ET 16.9   5.917   4.360   350   8   155  ...

    R programming: MPG   GPM   WT   DIS   NC   HP   ACC   ET 16.9   5.917   4.360   350   8   155   14.9   1 15.5   6.452   4.054   351   8   142   14.3   1 19.2   5.208   3.605   267   8   125   15.0   1 18.5   5.405   3.940   360   8   150   13.0   1 30.0   3.333   2.155   98   4   68   16.5   0 27.5   3.636   2.560   134   4   95   14.2   0 27.2   3.676   2.300   119   4   97   14.7   0 30.9   3.236   2.230   105   4   75   14.5   0 20.3   4.926   2.830   131   5   103  ...

  • A gardener plants 300 sunflower seeds (of a brand called KwikGrow) and, after 2 weeks, measures...

    A gardener plants 300 sunflower seeds (of a brand called KwikGrow) and, after 2 weeks, measures the seedlings’ heights (in mm). These heights are recorded below. He is interested in testing whether the mean height of sunflowers grown from KwikGrow seeds is greater than 33 mm two weeks after planting. He decides to conduct a hypothesis test by assuming that the sampling distribution of the sample mean has a normal distribution. For the purposes of this question, you may assume...

  • R programming: MPG   GPM   WT   DIS   NC   HP   ACC   ET 16.9   5.917   4.360   350   8   155  ...

    R programming: MPG   GPM   WT   DIS   NC   HP   ACC   ET 16.9   5.917   4.360   350   8   155   14.9   1 15.5   6.452   4.054   351   8   142   14.3   1 19.2   5.208   3.605   267   8   125   15.0   1 18.5   5.405   3.940   360   8   150   13.0   1 30.0   3.333   2.155   98   4   68   16.5   0 27.5   3.636   2.560   134   4   95   14.2   0 27.2   3.676   2.300   119   4   97   14.7   0 30.9   3.236   2.230   105   4   75   14.5   0 20.3   4.926   2.830   131   5   103  ...

  • A major oil company has developed a new gasoline additive that is supposed to increase mileage....

    A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d = (gas mileage with additive)-(gas mileage without additive). Use a significance level of a = 0.01 for the test. Assume...

  • R programming: MPG   GPM   WT   DIS   NC   HP   ACC   ET 16.9   5.917   4.360   350   8   155  ...

    R programming: MPG   GPM   WT   DIS   NC   HP   ACC   ET 16.9   5.917   4.360   350   8   155   14.9   1 15.5   6.452   4.054   351   8   142   14.3   1 19.2   5.208   3.605   267   8   125   15.0   1 18.5   5.405   3.940   360   8   150   13.0   1 30.0   3.333   2.155   98   4   68   16.5   0 27.5   3.636   2.560   134   4   95   14.2   0 27.2   3.676   2.300   119   4   97   14.7   0 30.9   3.236   2.230   105   4   75   14.5   0 20.3   4.926   2.830   131   5   103  ...

  • A major oil company has developed a new gasoline additive that is supposed to increase mileage....

    A major oil company has developed a new gasoline additive that is supposed to increase mileage. To test this hypothesis, ten cars are randomly selected. The cars are driven both with and without the additive. The results are displayed in the following table. Can it be concluded, from the data, that the gasoline additive does significantly increase mileage? Let d = (gas mileage with additive)-(gas mileage without additive). Use a significance level of a = 0.01 for the test. Assume...

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