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- For the following questions, THERE IS NO NEED FOR EXPLANATION. PLEASE PROVIDE JUST THE ANSWER THANK YOU. Please DO NOT waste time on writing things to explain. Please answer in 30 mintues or else I will write a bad review. If you follow my rules and answer in less than 30 mintues then I will write a very long and wonderful review about you. ANSWER the questions correlty and please answer all the questions with what it regards in saying exactly.According to Masterfoods, the company that manufactures M&M’s, 12% of peanut M&M’s are brown, 15% are yellow, 12% are red, 23% are blue, 23% are orange and 15% are green. You have a very large quantity of M&M's available to you to choose from (a huge bag, so the actual number of them does not matter). [Round your answers to at least 5 decimal places, for example: 0.12345]Compute the probability that a randomly selected peanut M&M is not blue.Compute the probability that a randomly selected peanut M&M is red or green.Compute the probability that two randomly selected peanut M&M’s are both brown.If you randomly select five peanut M&M’s, compute that probability that none of them are blue.If you randomly select five peanut M&M’s, compute that probability that at least one of them is blue.The following data was collected from a clinical trial testing a new drug aimed to lower blood pressure for individuals older than age 45. Half of the 20 participants received the new drug (Treatment = Yes) and the other half of the participants received a placebo pill (Treatment = No). Their age and gender was also recorded. Please use this data for Questions 17-19 and 20-24 and note, not all the information in the table will be used for either problem, you must decide what is relevant based on what the problem is asking. Subject ID Treatment Age Gender BP_Before BP_After D1 Yes 65 F 103.3 80.5 D2 Yes 59 F 93.6 85.9 D3 Yes 60 M 92 85.2 D4 Yes 54 F 93 87.8 D5 Yes 65 F 95.4 85.3 D6 Yes 57 M 109.6 94.2 D7 Yes 69 M 97.9 83.9 D8 Yes 62 M 96 85 D9 Yes 49 F 98.4 86.3 D10 Yes 45 M 98.4 90 C1 No 63 F 97.4 93.1 C2 No 56…
- please solve all parts within 30 minutes.A marketing firm wishes to test the effectiveness of the audio/visual presentation of certain information as opposed to the purely audio presentation of the information. To this end 100 volunteers were given a 10 minute presentation in which the information was presented in an audio/visual format. A second group of 100 volunteers was presented the same information in a purely audio format. Each person in each of the two groups was asked the same 20 questions related to the information in the presentation. The audio/visual group had an average of 10.5 correct responses with a sample standard deviation of 4. The purely audio group had an average of 9.4 correct responses with a standard deviation of 3. The marketing firm believes this means that the audio/visual format leads to better retention of the information. We test the hypotheses H0: 1 -2=0 versus Ha: 1 -2>0 at a 2% level of significance. Here denotes 1 the population average number of correct responses for…A marketing firm wishes to test the effectiveness of the audio/visual presentation of certain information as opposed to the purely audio presentation of the information. To this end 100 volunteers were given a 10 minute presentation in which the information was presented in an audio/visual format. A second group of 100 volunteers was presented the same information in a purely audio format. Each person in each of the two groups was asked the same 20 questions related to the information in the presentation. The audio/visual group had an average of 10.5 correct responses with a sample standard deviation of 4. The purely audio group had an average of 9.4 correct responses with a standard deviation of 3. The marketing firm believes this means that the audio/visual format leads to better retention of the information. We test the hypotheses H0: 1 -2=0 versus Ha: 1 -2>0 at a 2% level of significance. Here denotes 1 the population average number of correct responses for…
- The teacher from Problem 21 also tried a different approach to determining whether changing answers helps or hurts exam grades. In another class, students were told to review their final exams and change any answers they wanted to before turning them in. However, the students had to indicate both the original answer and the changed answer for each question. The teacher graded each exam twice, once using the set of original answers and once with the changes. In the class of n- 22 students, the exam scores improved by an average of MD - 2.5 points with the changed answers. The standard deviation for the difference scores was s = 3.1. Are the data sufficient to conclude that rethinking and changing answers can significantly improve scores? Use a one-tailed test at the .01 level of significance. (1) Ho: [ Select ] [ Select ] [ Select ] H1: Select ) [ Select ] [ Select ] (2) a - [ Select ] df - [ Select J Critical region boundary/boundaries: [ Select ] [ Select ] (3) Estimated Standard…For questions 4 and 5, determine whether the study is observational or an experiment. If the study is an experiment, identify the control and treatment groups, and whether blinding is needed. If the study is observational, state whether it is a case-control study, and if so, identify the cases and controls. There is a suspicion that zinc oxide, the white non-absorbent sunscreen traditionally worn by lifeguards, is more effective at preventing sunburns that lead to skin cancer than absorbent sunscreen lotions. A case-control study was conducted to investigate if exposure to zinc oxide is a more effective skin cancer prevention measure. The study involved comparing a group of former lifeguards that had developed cancer on their cheeks and noses (cases) to a group of lifeguards without this type of cancer (controls) and assess their prior exposure to zinc oxide or absorbent sunscreen lotions.A media personality argues that global temperatures are not rising, because every year an increase is reported, such as 0.09 degrees C. The difference from the previous year is less than the margin of error of about 0.13 degrees C, so that difference should be ignored. What is a strong counter argument? The difference is only 0.4 but that is still a significant change. The change of 0.9 is not a lot and thus should be ignored. The margin of error is larger than the increase so we should consider it an issue just extra information and thus can be ignored. The margin of error is quite small compared to the change year over year, so it is a significant issue.
- The past records of a supermarket show that its customers spend an average of $110 per visit at this store. Recently the management of the store initiated a promotional campaign according to which each customer receives points based on the total money spent at the store, and these points can be used to buy products at the store. The management expects that as a result of this campaign, the customers should be encouraged to spend more money at the store. To check whether this is true, the manager of the store took a sample of 14 customers who visited the store. The following data give the money (in dollars) spent by these customers at this supermarket during their visits. 106.13 107.43 124.68 124.88 101.17 72.75 85.45 86.05 100.4 98.84 101.63 95.56 89.40 119.52 Assume that the money spent by all customers at this supermarket has a normal distribution. Using a 2.5% significance level, can you conclude that the mean amount of money spent by all customers at this supermarket after the…(For Questions 17-19 and 20-24). The following data was collected from a clinical trial testing a new drug aimed to lower blood pressure for individuals older than age 45. Half of the 20 participants received the new drug (Treatment = Yes) and the other half of the participants received a placebo pill (Treatment = No). Their age and gender was also recorded. Please use this data for Questions 17-19 and 20-24 and note, not all the information in the table will be used for either problem, you must decide what is relevant based on what the problem is asking. Subject ID Treatment Age Gender BP_Before BP_After D1 Yes 65 F 103.3 80.5 D2 Yes 59 F 93.6 85.9 D3 Yes 60 M 92 85.2 D4 Yes 54 F 93 87.8 D5 Yes 65 F 95.4 85.3 D6 Yes 57 M 109.6 94.2 D7 Yes 69 M 97.9 83.9 D8 Yes 62 M 96 85 D9 Yes 49 F 98.4 86.3 D10 Yes 45 M 98.4 90 C1 No 63 F…