A) Perichondria B) Melanocytes C) RhoA D) Rac E) Runx2 73. Formed by neural crest cells 74. Promotes actin polymerization. 75. Promotes formation of osteoblasts 76. Gives rise to osteoblasts 77. Expressed at leading edge of migrating neural crest cells
In: Biology
Below are the jersey numbers of 11 players randomly selected from a football team. Find the range, variance, and standard deviation for the given sample data. What do the results tell us? 99 53 74 58 1 98 10 19 7 48 61
In: Statistics and Probability
The following is the frequency distribution for the speeds of a sample of automobiles traveling on an interstate highway.
|
Speed (MPH) |
Frequency |
|
50 - 54 |
2 |
|
55 - 59 |
4 |
|
60 - 64 |
5 |
|
65 - 69 |
10 |
|
70 - 74 |
9 |
|
75 - 79 |
5 |
|
35 |
Find the median and the mode.
In: Statistics and Probability
You recently purchased a stock that is expected to earn 11 percent in a booming economy, 10 percent in a normal economy and lose 5 percent in a recessionary economy. There is a 15 percent probability of a boom, a 74 percent chance of a normal economy. What is your expected rate of return on this stock?
In: Finance
The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is
ŷ = 23.462 + 0.315x,
where x = price ($) and y = overall score.
| Brand | Price ($) | Score |
|---|---|---|
| A | 180 | 74 |
| B | 150 | 73 |
| C | 95 | 59 |
| D | 70 | 58 |
| E | 70 | 42 |
| F | 35 | 24 |
(a)
Compute SST, SSR, and SSE. (Round your answers to three decimal places.)
SST=
SSR=
SSE=
(b)
Compute the coefficient of determination r2.
(Round your answer to three decimal places.)
r2
=
Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)
The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line.
The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares line.
The least squares line did not provide a good fit as a large proportion of the variability in y has been explained by the least squares line.
The least squares line did not provide a good fit as a small proportion of the variability in y has been explained by the least squares line.
(c)
What is the value of the sample correlation coefficient? (Round your answer to three decimal places.)
In: Statistics and Probability
The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, y^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.
Hours Unsupervised Overall Grades
2.5 97
3 94
3.5 91
4 86
4.5 79
5.5 74
6 65
Step 1 of 6:
Find the estimated slope. Round your answer to three decimal places.
Step 2 of 6:
Find the estimated y-intercept. Round your answer to three decimal places.
Step 3 of 6:
Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable y^.
Step 4 of 6:
Determine if the statement "All points predicted by the linear model fall on the same line" is true or false.
Step 5 of 6:
Determine the value of the dependent variable y^ at x=0.
Step 6 of 6:
Find the value of the coefficient of determination. Round your answer to three decimal places.
In: Statistics and Probability
1. A successful basketball player has a height of 6 feet 7inches or 201cm. Based on statistics from a data set, his height converts to the z score of
3.743.74.
How many standard deviations is his height above the mean?
2. If your score on your next statistics test is converted to a z score, which of these z scores would you prefer: minus? 2.00, minus? 1.00, 0, 1.00, 2.00? Why?
A.
The z score of 0 is most preferable because it corresponds to a test score equal to the mean.
B.
The z score of
minus?2.00
is most preferable because it is 2.00 standard deviations below the mean and would correspond to the highest of the five different possible test scores.
C.
The z score of
minus?1.00
is most preferable because it is 1.00 standard deviation below the mean and would correspond to an above average test score.
D.
The z score of 1.00 is most preferable because it is 1.00 standard deviation above the mean and would correspond to an above average test score.
E.
The z score of 2.00 is most preferable because it is 2.00 standard deviations above the mean and would correspond to the highest of the five different possible test scores
3. Waiting times (in minutes) of customers at a bank where all customers enter a single waiting line and a bank where customers wait in individual lines at three different teller windows are listed below. Find the coefficient of variation for each of the two sets of data, then compare the variation.
Bank A (Line 1) Bank B (Line 2)
6.5 4.1
6.5 5.5
6.8 5.8
6.9 6.2
7.1 6.7
7.3 7.6
7.5 7.6
7.7 8.5
7.8 9.3
7.8 9.7
The coefficient of variation for the waiting times at Bank A is what %.
(Round to one decimal place as needed.)
The coefficient of variation for the waiting times at the Bank B is
what %.
(Round to one decimal place as needed.)
Is there a difference in variation between the two datasets?
4.
In: Statistics and Probability
solve the problem make sure to explain in words what you did with the problem and state your conclusions in terms of the problem.
Part I: Choose to do one of the following: 1) Test the claim that the mean Unit 3 Test scores of data set 7176 is greater than the mean Unit 3 Test scores of data set 7178 at the .05 significance level
| Class 7176 | Class 7178 | |||||
| Unit Test 3 | Course Grade | Attendance | Unit Test 3 | Course Grade | Attendance | |
| 238 | 63 | 96 | 291 | 95 | 100 | |
| 208 | 55 | 48 | 301 | 91 | 83 | |
| 258 | 89 | 96 | 261 | 68 | 87 | |
| 264 | 84 | 96 | 0 | 53 | 91 | |
| 324 | 98 | 100 | 0 | 23 | 44 | |
| 0 | 62 | 44 | 284 | 93 | 96 | |
| 0 | 56 | 66 | 307 | 77 | 78 | |
| 274 | 87 | 96 | 0 | 44 | 70 | |
| 274 | 83 | 96 | 208 | 72 | 57 | |
| 0 | 0 | 18 | 0 | 56 | 78 | |
| 179 | 71 | 100 | 0 | 73 | 91 | |
| 268 | 86 | 100 | 0 | 28 | 39 | |
| 241 | 60 | 87 | 231 | 64 | 91 | |
| 0 | 8 | 26 | 307 | 87 | 100 | |
| 278 | 84 | 96 | 301 | 87 | 96 | |
| 307 | 89 | 87 | 228 | 52 | 74 | |
| 294 | 87 | 100 | 255 | 73 | 70 | |
| 175 | 76 | 74 | 304 | 85 | 83 | |
| 129 | 66 | 87 | 0 | 37 | 44 | |
| 284 | 82 | 100 | 0 | 60 | 48 | |
| 297 | 90 | 79 | 0 | 25 | 35 | |
| 255 | 74 | 74 | 0 | 37 | 48 | |
| 268 | 88 | 100 | 0 | 67 | 100 | |
| 215 | 77 | 39 | 301 | 94 | 87 | |
| 146 | 71 | 87 | 284 | 71 | 57 | |
| 304 | 88 | 100 | 321 | 87 | 100 | |
| 311 | 91 | 96 | ||||
| 274 | 83 | 96 | ||||
| 307 | 97 | 100 | ||||
| 278 | 92 | 91 | ||||
| 0 | 52 | 91 | ||||
In: Math
The following graph input tool shows the daily demand for hotel rooms at the Triple Sevens Hotel and Casino in Las Vegas, Nevada. To help the hotel management better understand the market, an economist identified three primary factors that affect the demand for rooms each night. These demand factors, along with the values corresponding to the initial demand curve, are shown in the following table and alongside the graph input tool. (Note: All values are hypothetical.)

Use the graph input tool to help you answer the following questions. You will not be scored on any changes you make to this graph.
Note: Once you enter a value in a white field, the graph and any corresponding amounts in each grey field will change accordingly.

For each of the following scenarios, begin by assuming that all demand factors are set to their original values and that Triple Sevens is charging $350 per room per night.
If average household income increases by 20%, from $50,000 to $60,000 per year, the quantity of rooms demanded at the Triple Sevens(rises or falls)from__
rooms per night to___rooms per night. Therefore, the income elasticity of demand is(+ or -), hotel rooms at the Triple Sevens and airline trips between YVR and LAS are(complements or substitutes)
Triple Sevens is debating decreasing the price of its rooms to $325 per night. Under the initial demand conditions, you can see that this would cause its total revenue to(increase or decrese)Decreasing the price will always have this effect on revenue when Triple Sevens is operating on the(elastic or inelastic) portion of its demand curve.
In: Economics
Cohension Case- The Broadway Café. Network, Telecommunication & Wireless Computing:
Telecommunication systems enable the transmission of data over public or private networks. A network is a communications, data exchange, and resource sharing system created by linking two or more computers and establishing standards, or protocols, so that they can work together. Telecommunication systems and networks are traditionally complicated and historically inefficient. However, businesses can benefit from today’s modern network infrastructures that provide reliable global reach to employees and customers. Businesses around the world are moving to network infrastructure solutions that allow greater choice in how they go to market—solutions with global reach. These alternatives include wireless, voice-over-internet protocol (VoIP), and radio-frequency identification (RFID).
Personal sensing devices are becoming more commonplace in everyday life. Unfortunately, radio transmissions from these devices can create unexpected privacy concerns if not carefully designed. We demonstrate these issues with a widely-available commercial product, the Nike+iPod Sport Kit, which contains a sensor that users put in one of their shoes and a receiver that users attach to their iPod Nanos. Students and researchers from the University of Washington found out that the transmitter in a sneaker can be read up to 60 feet away. Through the use of a prototype surveillance system, the researchers could track someone wearing Nike+iPod sensors, plot their location on a GoogleMaps-based website and email and text-messaging real-time surveillance data to anyone.
You are working on a plan to offer an in-store music service allowing customers to sip on a mocha latte while using headphones to listen to any of 250,000 songs located on portable kiosks in the cafe. Customers can order songs they like for a set price and you will burn them on a CD and deliver the custom-burned CD to their table. The promotion is called The Broadway Cafe Music To Go package. You believe that selling music can greatly increase the cafe’s revenue. Prices will be comparable to Apple's iTunes service: $6.99 for five songs, the minimum purchase. Albums will cost $12.95. To appeal to a younger set, you will eventually offer wireless downloads to laptops or portable players. At the very least, being able to listen or buy music at the cafe could enhance your core business and keep customers coming back. The time it takes a customer to order a latte, they could have any CD burned on demand.
questions to address:
Are there any current laws that you would need to be aware of when deploying wireless technology? If so, what types of liabilities for potential lawsuits should you be aware of to protect the cafe? If not, what types of laws should be created to help protect customers, employees, and the cafe?
Would you introduce this technology to the cafe? If so, are there any concerns with using this type of technology?
What other types of sensors could you deploy throughout the cafe to help operations? What concerns would you have regarding these sensors?
What two new products using network, telecommunication, or wireless tools could you create for new revenue streams?
In: Operations Management