Description
add or subtract by first simplifying each radical and then combining any like radicals. Assume that all variables represent positive numbers.
square root of 49x^2+ square root of 16x^2-17 square root of x
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49x^2=7x
Square re of 16x^2=4x
7x+4x-17 sqrt x
11x-17 sqrt X. ..............Unfortunately, I may not have understood the question well!..be free to inquiry
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A professor states that in the United States the proportion of college students who own iPhones is .66. She then ...
Southern New Hampshire University Statistics Discussion
Option 2:
A professor states that in the United States the proportion of college students who own iPhones is .66. She then splits the class into two groups: Group 1 with students whose last name begins with A-K and Group 2 with students whose last name begins with L-Z. She then asks each group to count how many in that group own iPhones and to calculate the group proportion of iPhone ownership. For Group 1 the proportion is p1 and for Group 2 the proportion is p2. To calculate the proportion you take the number of iPhone owners and divide by the total number of students in the group. You will get a number between 0 and 1.
What would you expect p1 and p2 to be?
Do you expect either of these proportions to be vastly different from the population proportion of .66?
Would you be surprised if p1 was different than p2?
Would you be surprised if they were the same or similar?
What statistical concept describes the relationship between the first letter of someone's last name and whether or not they own an iPhone?
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I would expect that the percentage of iPhone users in both P1 and P2 to be similar. I think this might also depend on weather or not the college students are from the same area, or the same college. Overall, I'd expect them to be about the same even though P2 has more people in the sample. I would expect the proportion to be a little bit higher than the population proportion. I say this because I think college students tend to invest in technology a little bit more than the average person. They use computers and phones constantly, so they may be more inclined to go for the Apple products due to popularity. I would be pretty surprised if P1 was vastly different than P2. I wouldn't see why a random sample like this would yield two different results. This sample seems very random, so I would think it would yield similar results. I would not be surprised if they were similar at all. The concept in this problem is Probability, in this case .66 or 66%.
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In the book Essentials of Marketing Research, William R. Dillon, Thomas J. Madden, and Neil H. Firtle present the results of a concept study for a new wine cooler. Three hundred consumers between 21 and 49 years old were randomly selected. After sampling the new beverage, each was asked to rate the appeal of the phrase: "Not sweet like wine coolers, not filling like beer, and more refreshing than wine or mixed drinks" as it relates to the new wine cooler. The rating was made on a scale from 1 5o 5, with 5 representing "extremely appealing" and with 1 representing "not at all appealing". The data is presented in the attached Excel work sheet. You decide that the best way to respond to your management's request is to analyze the following. Please calculate the items below, responding to the prompts. 2. Estimate the probability that a randomly selected 21 to 49 year old consumerWould give the phrase a rating of 5Would give the phrase a rating of 3 or higherIs in the 21-24 age groupIs a male who gives the phrase a rating of 4Is a 35 to 49 year old who gives the phrase a rating of 2 or lower3. You have data which shows how many cartons of the wine cooler were bought per customer in a month.Explain what a probability distribution is then create one using data provided to you.What is the mean and the standard deviation of your probability distribution?4. Your surveys suggest that 30% of the people who heard a test advertisement for the wine cooler would go to the store and buy some to try it. Suppose that six customers enter the store and that they make independent purchase decisions.Let x = the number of the six customers who will make a purchase decision. Write the binomial formula for this situation.Create a binomial distribution. Using the values from the binomial distribution *The probability that exactly five customers purchase the wine cooler. *The probability that at no more than four customers purchase the wine cooler. *The probability that two or fewer customers purchase the wine cooler. *The probability that at least one customer purchases the wine cooler. Rating of the appeal of the phrase as it relates to the new wine cooler Total Sample Gender Age Male Female 21 - 24 25 -34 35-49 Extremely appealing (5) 141 70 83 48 53 40 Somewhat appealing (4) 96 49 35 36 32 28 Neither appealing nor not appealing (3) 41 21 20 14 16 11 Somewhat unappealing (2) 13 7 6 4 6 3 Not at all appealing (1) 9 3 6 4 3 2 QUANTITY PURCHASED PER PERSON IN ONE MONTH # of six packs purchased # people who purchased this amount 0 3 1 7 2 7 3 12 4 15 5 11 6 10 7 7 8 5 9 5 10 3
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Statistics/Quantitative Methods Midterm Exam
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Donald: Waiting Times are very important factor in Drive-Thru ordering
system. McDonald has collected the data of 362 costumers in drive-thru
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chance that customer wait more than 200 seconds in McDonald drive thru?2- Open the sheet "Airplanes" then use appropriate diagram for
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consumption. Explain the result.3- Open the "Gasoline Prices" worksheet and then use appropriate tool for representing the price trend over the time. 4- At a recent meeting, the manager of a national call center for a
major Internet bank made the statement that the average past-due amount
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no longer than $20. Other bank managers at the meeting suggested that
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called Bank Call Center attached below, contains data
for a random sample of 67 customers from the call center population.
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Southern New Hampshire University Statistics Discussion
Option 2:
A professor states that in the United States the proportion of college students who own iPhones is .66. She then ...
Southern New Hampshire University Statistics Discussion
Option 2:
A professor states that in the United States the proportion of college students who own iPhones is .66. She then splits the class into two groups: Group 1 with students whose last name begins with A-K and Group 2 with students whose last name begins with L-Z. She then asks each group to count how many in that group own iPhones and to calculate the group proportion of iPhone ownership. For Group 1 the proportion is p1 and for Group 2 the proportion is p2. To calculate the proportion you take the number of iPhone owners and divide by the total number of students in the group. You will get a number between 0 and 1.
What would you expect p1 and p2 to be?
Do you expect either of these proportions to be vastly different from the population proportion of .66?
Would you be surprised if p1 was different than p2?
Would you be surprised if they were the same or similar?
What statistical concept describes the relationship between the first letter of someone's last name and whether or not they own an iPhone?
STUDENT 1: Respond to this students discussion post in response to Option 2 (above)
I would expect that the percentage of iPhone users in both P1 and P2 to be similar. I think this might also depend on weather or not the college students are from the same area, or the same college. Overall, I'd expect them to be about the same even though P2 has more people in the sample. I would expect the proportion to be a little bit higher than the population proportion. I say this because I think college students tend to invest in technology a little bit more than the average person. They use computers and phones constantly, so they may be more inclined to go for the Apple products due to popularity. I would be pretty surprised if P1 was vastly different than P2. I wouldn't see why a random sample like this would yield two different results. This sample seems very random, so I would think it would yield similar results. I would not be surprised if they were similar at all. The concept in this problem is Probability, in this case .66 or 66%.
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In the book Essentials of Marketing Research, William R. Dillon, Thomas J. Madden, and Neil H. Firtle present the results of a concept study for a new wine cooler. Three hundred consumers between 21 and 49 years old were randomly selected. After sampling the new beverage, each was asked to rate the appeal of the phrase: "Not sweet like wine coolers, not filling like beer, and more refreshing than wine or mixed drinks" as it relates to the new wine cooler. The rating was made on a scale from 1 5o 5, with 5 representing "extremely appealing" and with 1 representing "not at all appealing". The data is presented in the attached Excel work sheet. You decide that the best way to respond to your management's request is to analyze the following. Please calculate the items below, responding to the prompts. 2. Estimate the probability that a randomly selected 21 to 49 year old consumerWould give the phrase a rating of 5Would give the phrase a rating of 3 or higherIs in the 21-24 age groupIs a male who gives the phrase a rating of 4Is a 35 to 49 year old who gives the phrase a rating of 2 or lower3. You have data which shows how many cartons of the wine cooler were bought per customer in a month.Explain what a probability distribution is then create one using data provided to you.What is the mean and the standard deviation of your probability distribution?4. Your surveys suggest that 30% of the people who heard a test advertisement for the wine cooler would go to the store and buy some to try it. Suppose that six customers enter the store and that they make independent purchase decisions.Let x = the number of the six customers who will make a purchase decision. Write the binomial formula for this situation.Create a binomial distribution. Using the values from the binomial distribution *The probability that exactly five customers purchase the wine cooler. *The probability that at no more than four customers purchase the wine cooler. *The probability that two or fewer customers purchase the wine cooler. *The probability that at least one customer purchases the wine cooler. Rating of the appeal of the phrase as it relates to the new wine cooler Total Sample Gender Age Male Female 21 - 24 25 -34 35-49 Extremely appealing (5) 141 70 83 48 53 40 Somewhat appealing (4) 96 49 35 36 32 28 Neither appealing nor not appealing (3) 41 21 20 14 16 11 Somewhat unappealing (2) 13 7 6 4 6 3 Not at all appealing (1) 9 3 6 4 3 2 QUANTITY PURCHASED PER PERSON IN ONE MONTH # of six packs purchased # people who purchased this amount 0 3 1 7 2 7 3 12 4 15 5 11 6 10 7 7 8 5 9 5 10 3
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