Rank the substituents shown below in order of Cahn-Ingold-Prelog priorities (1 = highest priority group, 4 = lowest priority group). (a) -CCH (b) -CH=CH2 (c) -CH2CH3 (d) -CH3
In: Chemistry
Explain how Medcaid funding is shared in New York State.
What sector of care has the highest Medicaid expenditures?
How did the ACA act affect Medicaid eligibility?
What is the SCHIP program?
In: Nursing
Which of the following would have the highest boiling point?
a) 0.10m Cr2(SO4)3
b) 0.15m Zn (CH3COO)2
c) pure H2O
d) 0.35m CH4N2O
e) 0.16m BaI2
In: Chemistry
In 2-3 paragraphs, define and discuss recidivism. Which offenders have the highest risk to re-offend? (worth 10 points). Please respond to two of your classmates (worth 5 points each).
In: Computer Science
The mode is which of the following?
The most frequently occurring value in a data set
The middle most occurring value in a set of values
The difference between the highest and lowest values in a set
The arithmetic average of a set of values.
In: Statistics and Probability
A crest vertical curve begins with a 1.2% upgrade and ends with a 1.08% downgrade. The PVC is at station 125+00 with an elevation of 711.10ft and the PVT is at station 131+30. The distance to the highest point is.............ft from the PVC.
In: Civil Engineering
Some statistics students estimated that the amount of change daytime statistics students carry is exponentially distributed with a mean of $0.72. Suppose that we randomly pick 25 daytime statistics students.
a. In words, define the random variable X.
(from these) -the number of coins that a daytime statistics student carries--the total amount of money that a daytime statistics student carries---the amount of change that a daytime statistics student carries---the number of daytime statistics students who carry change
b. Give the distribution of X.
c. In words, define the random variable x-bar
(from these)-the average number of daytime statistics students----the average number of daytime statistics students who carry change---the average amount of change a daytime statistics student carries---the average amount of money a daytime statistics student carries
d. Give the distribution of X bar (Round your standard deviation to three decimal places.)
e. Find the probability that an individual had between $0.72 and $0.90. (Round your answer to four decimal places.)
f. Find the probability that the average of the 25 students was between $0.72 and $0.90. (Round your answer to four decimal places.)
g. Explain why there is a difference between parts (e) and (f).
(from these)- The graph of sample means becomes more normal as the sample increases; therefore, in part (f), the graph is approximately normal and in part (e), the graph is exponential.-----The graph of the amount of change becomes more normal as the sample increases; therefore, in part (e), the graph is approximately normal and in part (f), the graph is exponential.----- There is always a better chance for 25 people to have between $0.72 and $0.90 than for 1 person to have that amount.-----There is always a better chance for one person to have between $0.72 and $0.90 than for 25 people to each have that amount.
In: Statistics and Probability
She tasted Dr. Pepper 3 times and each time she had a probability of liking Dr. Pepper, which was 0.75. Each taste was independent, and we said that the count of the number of likes followed a Binomial Distribution. I observed Tess drinking the Dr. Pepper 3 times over 100 trials and recorded the number of likes for each trial. I ended up with the frequencies shown below. Run a chi-square analysis that will test the goodness of fit to the binomial distribution. The expected frequencies under the null hypothesis are a binomial (That is, the expected counts should use the probabilities of the number of likes that are calculated using the binomial formula). Therefore, in order to get the expected probabilities, you must calculate, P(X=0), P(X=1), P(X=2), and P(X=3) using a binomial with n=3 and p=.75.
|
# of Likes |
0 |
1 |
2 |
3 |
|
Count |
5 |
15 |
25 |
55 |
In: Statistics and Probability
The Downtown Parking Authority of Tampa, Florida, reported the following information for a sample of 231 customers on the number of hours cars are parked and the amount they are charged.
| Number of Hours | Frequency | Amount Charged | |||
| 1 | 22 | $ | 3 | ||
| 2 | 38 | 6 | |||
| 3 | 51 | 8 | |||
| 4 | 45 | 12 | |||
| 5 | 20 | 14 | |||
| 6 | 14 | 16 | |||
| 7 | 5 | 18 | |||
| 8 | 36 | 22 | |||
| 231 | |||||
a-2. Is this a discrete or a continuous probability distribution?
b-1. Find the mean and the standard deviation of the number of hours parked. (Do not round the intermediate calculations. Round your final answers to 3 decimal places.)
b-2. How long is a typical customer parked? (Do not round the intermediate calculations. Round your final answer to 3 decimal places.)
Find the mean and the standard deviation of the amount charged. (Do not round the intermediate calculations. Round your final answers to 3 decimal places.)
In: Statistics and Probability
According to a website, the average number of dimples in a golf ball is 336 dimples. I collect a random sample of golf balls, and my sample has a mean of 335.4 dimples and a standard deviation of 8.3 dimples. I want to test if the average number of dimples in all golf balls is actually less than the reported 336 dimples. I run a simulation and I get a p-value of 0.154.
A) Assign appropriate symbols to the given numbers in the problem--336, 335.4, and 8.3.
B) Write the appropriate null and alternative hypotheses in words and in symbols. (Ho: ?, Ha: ?)
C) Write a complete sentence in context to interpret the exact meaning of the p-value IN CONTEXT. (format: "If we assume BLANK then the probability of BLANK is BLANK.)
D) What conclusion should I make IN CONTEXT about average number of dimples in golf balls based on this p-value? (format: we have strong evidence that...)
In: Statistics and Probability