Evaluate acetophenone, acetanilide, and 9-anthraldehyde and make a prediction about the relative values for the Rf values of the compounds, arrange them in order from the highest to the lowest Rf value. Hint: On a polar stationary phase such as silica gel polar substances will have lower Rf values.

DESIGN A FLOWCHART IN FLOWGORITHM

Rainfall Statistics Design a program that lets the user enter the total rainfall for each of 12 months into an array. The program should calculate and display the total rainfall for the year, the average monthly rainfall , and the months with the highest and lowest amounts.

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Innovative customer management

what are some of the elements of customers service ? Explain how they are measured .Looking at innovation and modernization needs of retail managers,how do customer expectations influence customer satisfaction? Explain how a commitment to customer success is the highest level of customer management.

Write down the truth table fora 4-to-2 priority encoderhaving input W[3:0]and with priority levels in the decreasing order (i.e., W[0]-Highest, ....., W[3]-Least). Write down the Verilog code for implementing   the same.

plz asap fast

Given P=+3.0%, q=-2% station of PI= 4+350 and elevation of PI=190.500m if L=250m,determine the station and elevation of the PC and PT
Calculate the elevation at every 20m station and locate the station and elevation of the highest point of the curve , plot the profile of the curve

1. An experiment consists of drawing two marbles from a box containing red, yellow, and green marbles. One event in the sample space is RR. What are all of the events in the sample space? (Note: order matters) (3)

2. In a certain large population, 46% of households have a total annual income of over $70,000. A simple random sample is taken of four of these households. What is the probability that more than 2 of the households in the survey have an annual income of over $70,000?                                                                (8)

3. Which would you expect to have a higher standard deviation: data scores that are spread out or data scores that are close together?   
4. In a survey of U.S. households, 588 had home computers while 722 did not. Use this sample to estimate the probability of a household having a home computer.

1. Home Security Systems is studying the time utilization of its sales force. A random sample of 40 sales calls showed that the representatives spend an average of ẍ = 44 minutes on the road with a standard deviation of s = 6 minutes for each sales call.

1. Create a line showing the mean and values for 4 standard deviations above and 4 standard deviations below the mean.                                                                                                                                                (2)

2. Use Chebyshev’s Theorem to find the values between which we can expect at least 89% of the data to fall.                                                                                                                                                                       (2)

3. At least what percent of the data can we expect to fall between 38 and 50 minutes using the Empirical Rule?                                                                                                                                                        (2)

A psychologist studied the number of puzzles subjects were able to solve in a five-minute period while listening to soothing music. Let X be the number of puzzles completed successfully by a subject. The psychologist found that X had a distribution where the possible values of X are 1, 2, 3, 4 with the corresponding probabilities of 0.2, 0.4, 0.3, and 0.1. Use this information to answer questions 20-23 below.

2. Does the above data form a probability distribution? Create the distribution and explain why or why not.(5)

3. Using the above data, what is the probability that a randomly chosen subject completes at least three puzzles in the five-minute period while listening to soothing music?                                                                   (2)

4. Using the above data, the mean µ of X is what? Show work.                                                                             (3)
5. Using the above data (on previous page), the standard deviation σ of X is what? Show work.                      (4)

1. Why would we use the 10-90 percentile range?                                                                                                  +2

2. A data set has a range of 348. Use the range rule of thumb to determine the standard deviation.        +1

A batch of 26 light bulbs includes 5 that are defective. Two light bulbs are randomly selected. If the random variable, X, represents the number of defective light bulbs which can be selected, what values can X have?                

According to a 2009 Reader's Digest article, people throw away approximately 20% of what they buy at the grocery store. Assume this is the true proportion and you plan to randomly survey 200 grocery shoppers to investigate their behavior. What is the probability that the sample proportion is between 0.05 and 0.13? Note: You should carefully round any intermediate values you calculate to 4 decimal places to match wamap's approach and calculations. Answer = (Enter your answer as a number accurate to 4 decimal places.)

The physical plant at the main campus of a large state university receives daily requests to replace florescent light bulbs. The distribution of the number of daily requests is bell-shaped and has a mean of 56 and a standard deviation of 7. Using the empirical (68-95-99.7) rule, what is the approximate percentage of light bulb replacement requests numbering between 35 and 56? Do not enter the percent symbol. Enter your answer has a number between 1 and 100 (not between 0 and 1). For example, for 23.6%, you would enter 23.6 into the box. Answer = %

Xi = the number of times carton i was transferred from one aircraft to another Yi = the number of ampules broken upon arrival i 1 2 3 4 5 6 7 8 9 10 Xi 1 0 2 0 3 1 0 1 2 0 Yi 16 9 17 12 22 13 8 15 19 11

i. Fit the Poisson regression model assuming Yi ∼ Poisson(λi) where λi = λ(x, β) = eβ0+β1Xi is the response function. ii. Estimate of the expected number of broken ampules when X = 0, 1, 2, 3 and compare your results with Part 1(b). iii. Plot the Poisson and linear regression functions, together with the data. Which model appears to be a better fit? iv. Management wishes to estimate the probability that 10 or fewer ampules are broken when there is no transfer of the shipment. Use the fitted Poisson regression function to obtain the estimate. v. Obtain an approximate 95% confidence interval for the slope β1 and interpret it.

A drug manufacturer markets a brand of pain reliever that it claims to be 95% effective in relieving headache pain. Assume that the effect of the drug on each person is independent of the effect on all other people receiving the drug, and the 95% effective rate is the same for each person with headache pain.
A consumer group decides to select a sample of 20 people at random who suffer from headache pain and give them the medicine. If the number of people in the sample who experience pain relief is 18 or less, the consumer group will publish a report questioning the claim that the drug is 95% effective; otherwise, no report of the results will be published. Please answer the following questions. (Hint: think about the Binomial distribution)
(a) If p=.95 as the manufacturer claims, what is the expected number of people in the sample who will experience pain relief?
(b) If p=.95 as the manufacturer claims, what is the standard deviation the number of people in the sample who will experience pain relief?
(c) If p=.95 as claimed, what is the probability that the sample of 20 people will have 18 or fewer who experience pain relief?

A photo-sharing startup offers the following service. A client may upload any number N of photos and the server will compare each of the N 2 pairs of photos with their proprietary image matching algorithms to see if there is any person that is in both pictures. Testing shows that the matching algorithm is the slowest part of the service, taking about 100 milliseconds of CPU time per photo pair. Hence, estimating the number of photos uploaded by each client is a key part of sizing their data center. The people in charge say that their gut feeling is that N = 10. You (the chief technical officer) say, “but N is a random variable”. What will the average CPU demand per client (as a function of N, p or λ) if N follows

• the “distribution” where N is the same fixed number with probability 1?

• the Poisson distribution with parameter λ?

• the geometric distribution with parameter p?

• N = 80X + 5, where X is a Bernoulli random variable with parameter p?

In each case, include as part of your answer the expected value of N and the variance of N.