.allied.edu/Images/1×1.gif”>module 1Posted by Oscar Gaytan at 08/04/13 06:14 PMWelcome, everyone, to the discussion board. Each week you will have an initial discussion problem and a series of follow-up problems posted within the discussion board. Please be sure to actively participate in order to receive full credit.Answer the following problems in separate posts:In a Gallup poll of 976 adults, 68 said that they have a drink every day. What is the percentage of respondents who said that they have a drink every day?Among the 976 adults surveyed, 32% said that they never drink. What is the actual number of surveyed adults who said that they never drink?This module discusses common ways of classifying data by using the following four levels of measurement: nominal, ordinal, interval, and ratio. I’d like you to identify and justify which measurement you would use to classify the following data.module 2The Insurance Institute for Highway Safety conducted tests with crashes of new cars traveling at 6 mi/h. The total cost of the damages for a simple random sample of the tested cars are listed below. Based on these results, is damage of $10,000 unusual? Why or why not?$7448 $4911 $9051 $6374 $4277Hint: Find the range, variance, and standard deviation for the given sample data and use the information to solve the problem.MODULE 3.allied.edu/Images/1×1.gif”>Posted by Oscar Gaytan at 08/04/13 06:18 PMA Las Vegas handicapper can correctly predict the winning professional football team 70% of the time. What is the probability that she is wrong in her next prediction?After you’ve answered the above problem, I want you to create a probability question using a game of your choosing (doesn’t have to be a sports game, but an actual probability question involving cards or roulette). Afterwards, answer a problem posted by a fellow classmate. At the end of the week, post the solution to the problem you created. Please post your problem promptly to allow others a chance to view and answer it.MODULE 4.allied.edu/Images/1×1.gif”>Posted by Oscar Gaytan at 08/04/13 06:18 PMUse Table A-2 in your appendix to help solve the following problems. Give the probability of each problem and explain what area under the bell curve is used given the z scores. Write one post per problem.1. P(-1.96 < z < 1.96)2. P(z < 1.645)3. P(z < -2.575 or z > 2.575)I’d also like for you to explain why or why not P(z< 1.645) is the same as P(z less than or equal to 1.645). In other words, does it matter if you use 'less than or equal to' instead of just 'less than'?MODULE 5.allied.edu/Images/1x1.gif">Posted by Oscar Gaytan at 08/04/13 06:19 PMIdentify the type I error and the type II error that correspond to the given hypothesises. Compose one post per problem. Hint: You need to to determine the both errors for each statement.1. The percentage of nonsmokers exposed to secondhand smoke is equal to 41%.2. The percentage of households with at least two cell phones is less than 60%.I would also like you to discuss how your project is going. Have you finished conducting your survey? Share with the class what problems you might have encountered and how you overcame them, or what you are doing to further your project.module 6.allied.edu/Images/1×1.gif”>Posted by Oscar Gaytan at 08/04/13 06:21 PMDescribe the error in the stated conclusion on separate posts for each problem.1. Given: There is a linear correlation between the number of cigarettes smoked each day and the pulse rate, so that more smoking is associated with a higher pulse rate.Conclusion: Smoking causes an increase in the pulse rate.2. Given: There is a linear correlation between state average commuting times and state average commuting costs.Conclusion: There is a linear correlation between individual commuting times and individualmodule 7 .allied.edu/Images/1×1.gif”>With two modules to go, I’d like to see where you are at in the project. Please openly discuss where you are at and if you have any questions, please let me know. Also, I’d like you to answer the following in a separate post:Some nonparametric methods are based on the ranks of sample data. Find the ranks corresponding to these sample values: 77, 65, 88, 88, 95.module 8Define what a p-chart is and what it is used for. In a separate post, define what an R-chart is and what it is used for.I would also like you to answer the following:1. What was the most difficult topic we covered in the course and what steps did you take to overcome it?2. What topic did you find most useful or beneficial to you?3. Were your expectations for the course satisfied?4. How are you planning to continue your studies in mathematics?