I am working on a method section for a paper. The experiment in general terms is testing to see if there is a significance between two treatment groups in substance abuse recovery. One group is an exercise group the other is not. the sample population is about 100 individuals and 50 in each category. All individuals will be asked yes or no if they relapsed over the last year. What would be the best statistical analysis test for determining if this is chance or if there is significance.
In: Math
An experiment was conducted to see the effectiveness of two
antidotes to three different doses of a toxin. The antidote was
given to a different sample of participants five minutes after the
toxin. Twenty-five minutes later the response was measured as the
concentration in the blood. What can the researchers conclude with
α = 0.01?
| Dose | |||
| Antidote | 5 | 10 | 15 |
| 1 | 0.6 1.1 1.1 |
2.1 1.5 6.2 |
3.1 4.1 5.9 |
| 2 | 1.1 1.2 1.1 |
1.7 1.3 1.5 |
2.1 3.1 2.1 |
Compute the corresponding effect size(s) and indicate
magnitude(s).
Antidote: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
Dose: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
Interaction: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
d) Make an interpretation based on the
results.
There is an antidote difference in blood concentration.There is no antidote difference in blood concentration.
There is a dose difference in blood concentration.There is no dose different in blood concentration.
There is an antidote by dose interaction in blood concentration.There is no antidote by dose interaction in blood concentration.
In: Math
A factorial experiment was designed to test for any significant differences in the time needed to perform English to foreign language translations with two computerized language translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours.
| Language | |||
| Spanish | French | German | |
| System 1 | 7 | 14 | 14 |
| 11 | 18 | 18 | |
| System 2 | 9 | 14 | 19 |
| 13 | 16 | 25 | |
Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use = .05.
| Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | p-value |
| Factor A | |||||
| Factor B | |||||
| Interaction | |||||
| Error | |||||
| Total |
In: Math
. Which of the following is NOT CORRECT about a randomized complete block experiment?
(a) Every block is randomized separately from every other block.
(b) Every treatment must appear at least once in every block.
(c) Blocking is used to remove the effects of another factor (not of interest) from the comparison of
levels of the primary factor.
(d) The ANOVA table will have another line in it for the contribution to the variability from blocks.
(e) Blocks should contain experimental units that are as different as possible from each other.
In: Math
A factorial experiment was designed to test for any significant differences in the time needed to perform English to foreign language translations with two computerized language translators. Because the type of language translated was also considered a significant factor, translations were made with both systems for three different languages: Spanish, French, and German. Use the following data for translation time in hours.
| Language | |||
| Spanish | French | German | |
| System 1 | 6 | 11 | 10 |
| 10 | 15 | 14 | |
| System 2 | 5 | 18 | 14 |
| 9 | 20 | 20 | |
Test for any significant differences due to language translator system (Factor A), type of language (Factor B), and interaction. Use = .05.
| Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | p-value |
| Factor A | |||||
| Factor B | |||||
| Interaction | |||||
| Error | |||||
| Total |
In: Math
On the Job: Zappos' Retail Experiment Selfies as a Sales Tool
>> Will, you're based out in San Francisco.
>> Yep.
>> You've got a dozen people working in this Zappos Skunkworks. What are you doing out there?
>> Yeah, I think we created this labs office because we've seen just retail and ecommerce change so quickly. You know--
>> But surely Zappos is already at the forefront of ecommerce.
>> Yeah. And I think what we do exceptionally well is if you want those black beautiful dress shoes and you have them in mind, you come to Zappos and you type black dress shoes. We find them for you, we ship them to you next day, we're amazing, great customer service. I think as we're trying to evolve our brand is we look at like people are spending so much time on Pinterest and Instagram. What does that mean to Zappos as a brand. And so that's one of the things we really think about as a retailer.
>> Yeah, as you think about people like us who use it, as you say, to deliver a product, now you're trying to transition us to make it part of our lifestyle. Is that?
>> I wouldn't say transition because it doesn't have to be either or, right? We're never going to stop being that amazing experience when you want to find great black dress shoes, a nice suit. Some people are surprised we sell suits and wedding dresses on Zappos. So, the works. I think as we're seeing just consumer behavior change and people obviously move to their phones, what does that mean to that shopping experience?
>> Will, you make an important point. Mark and I might shop with our phones but we're not likely to do that much shopping with our phone. My kids, on the other hand--
>> Absolutely.
>> And Mark's do a lot of shopping on their phones. You're trying to reach the millennials and even the next generation. How do you do that?
>> I think it's, to kind of, I think in the early days when everyone saw Facebook being big and Pinterest blowing up, every big retailer's like let's build our own social network. And I think everyone failed at that, including us. So, it really was, like, how do we be a natural part of that conversation. So we've, people are doing stuff naturally on Instagram, for example.
>> Like what? Posting selfies.
>> Selfies. And it's, I think to us older folks, like, we kind of joke about it but there's this hashtag on Instagram called OOTD. You know, they do the hashtag OOTD. It stands for outfit of the day.
>> And you do this every day, right?
>> Every day. And I get an opinion. Pink tie, purple tie. But there's 30 million pictures on Instagram with that hashtag.
>> Seriously?
>> 30 million.
>> 30 million.
>> So, it's 30 million, or 30 million pictures that've said this is my style, this is what I care about, and I want the world to know. As a retailer, how do we not be a part of that conversation, right?
>> Embrace the narcissism.
>> And actually, I would call it self-expression. I call it self-expression.
>> But how do you become a part of that? As a retailer, how do you get your brand to be tied to those things?
>> Absolutely. So one of the, we did a small pilot a couple months ago and we saw some really interesting engagement. We asked actually people, you're already going an outfit picture. We don't want you to do anything else. Just add the hashtag, Next OOTD. And that was a signal to Zappos, Zappos, look in my Instagram account and make a personalized recommendation for me. So, that's what we did. So we actually, and you know, Zappos is very good at doing things manual. We're famous for 10 and a half hour phone calls in our call center. So, when we see someone do that hashtag, we actually look in their Instagram account, look at what they wear, look at their friends' style, look at the places they go and make some recommendations. And we have a huge catalog, 180,000 items.
>> Okay.
>> And we just take, like, we think you'll like--
>> What's the follow through like, though? When you make, when those recommendations are made to these people who put hashtag NOOTD--
>> Yeah, and--
>> What do they do? Do they shop?
>> So we've seen them, they all go to the recommendations. And it's interesting, I think, that a thing we're seeing is if you're on Instagram, you might check out one of our recommendations. And you don't necessarily feel like buying right away. Because, you know, you're on Instagram. I think a lot of, we've heard a lot of feedback, like Zappos sells clothing? Like, that's a big surprise to a lot of people. You know, because we're known for shoes, and--
>> But, Will, is it a bot that's creating that?
>> No.
>> Or is it a human?
>> It's a stylist on our end.
>> Yeah, see that's cool, because now we're going to create jobs. So it's not that technology is going to take the jobs away. This actually is going to create jobs.
>> Absolutely.
>> And cool jobs. Stylist jobs.
>> And a big reason we moved our headquarters to Las Vegas. Our lab team is in San Francisco. A big reason we moved the headquarters to Las Vegas is to grow our call center locally and not outsource it. And so we actually have stylists that are kind of on our team that do some of these stylist recommendations as well.
>> What interests me about this, though, is it is very commercially focused. There are a lot of companies that spend time on social media trying to build brand awareness, loyalty, affinity, without any real sense as to whether there's a clickthrough or a follow through. That seems to be different at Zappos.
>> Well, I think we do both. I think building brand affinity's extremely important. I think if you look at our huge investment in our call center, it's hard to measure the ROI. Like, when we do a 10-hour phone call with a customer who just wants to talk for 10 hours, like, you can't measure that. There's no immediate short-term ROI.
>> It's, I would venture to say it might be negative.
>> Exactly, right?
>> That's a lot of sales.
>> But it becomes, like, the story of legend. It becomes, like, the old-fashioned way of brand building, word of mouth and all that stuff. So, people tell their friends and--
>> Well, it's Nordstrom-esque.
>> Yeah, I would absolutely say--
>> It's Nordstrom-esque and if you can achieve that level of branding and be the go-to store--
>> Absolutely.
>> Or you're not a store. A go-to experience?
>> Yeah, I would say we're a whole experience. A shopping experience online for people. And I think it's, yeah. So, Zappos, I think we started with shoes but developed a lot--
Discussion Questions:
In: Operations Management
1. A student attempts to identify an unknown compound by the method used in this experiment. She finds that when she heated a sample weighing 0.5015 g the mass went down appreciably, to 0.3432 g. When the product was converted to a chloride, the mass went up, to 0.3726 g.
a. Is the sample a carbonate? ____________ Give your reasoning.
b. What are the two compounds that might be in the unknown? ____________ and ____________
c. Write the chemical equation for the overall reaction that would occur when the original compound was converted to a chloride. If the compound is a hydrogen carbonate, use the sum of Reactions 1 and 2. If the sample is a carbonate, use Reaction 2.
Write the equation for a sodium salt and then for a potassium salt.
d. How many moles of the chloride salt would be produced from one mole of original compound? ____________
e. How many grams of the chloride salt would be produced from one molar mass of original compound? Molar masses: NaHCO3 ____________ g Na2CO3 ____________ g NaCl ____________ g KHCO3 ____________ g K2CO3 ____________ g KCl ____________ g If a sodium salt, ____________ g original compound → ____________ g chloride If a potassium salt, ____________ g original compound → ____________ g chloride
f. What is the theoretical value of Q, if she has an Na salt? ____________ if she has a K salt? ____________ g.
What was the observed value of Q? ____________
h. Which compound did she have as an unknown?
In: Chemistry
This question has its origin to the reference on the Aegis experiment at CERN where they aim to produce super cooled antihydrogen and detect whether its reaction to gravity is negative.
It set me thinking that the beams in the Tevatron circulate for more than a second and everything falls about 4.9 meters in a second, so the bunches must be falling too. This of course will be compensated by the fields that keep the bunches in track among all the other corrections necessary. If though the antiprotons have a different behavior under gravity, this difference would appear in the orbits of protons and antiprotons.
The question has two points: a) since the beams are travelling equal and opposite paths through the magnetic circuit, a negative gravity effect on antiprotons would disperse the antiproton beam up with respect to the path of the proton one. Could one get a limit on the magnitude of the gravitational effect difference between protons and antiprotons from this?
I found one reference where the antiproton beam has a different behavior in chromaticity than the proton one, and it is explained away.
Now I am completely vague about beam dynamics which I have filed under "art" rather than "physics" but b) am wondering whether this observed difference could be interpreted as a gravitational field difference in a dedicated experiment.
Maybe there are beam engineers reading this list. My feeling is that if antiparticles had negative gravity interactions , beam engineers would have detected it since the first e+e- machine, but feelings can be wrong.
In: Physics
Modify experiment 2 (below) such that the sensor value and data conversion to be shown on both LCD display and Serial Monitor
Here is modification of above program that fade LED light based upon sensed voltage level. Connect LED on pin 9 with current limiting resistor in series. Execute modified version of following program.
|
const int led = 9; void setup() { // initialize serial communication at 9600 bits per second: Serial.begin(9600); } // the loop routine runs over and over again forever: void loop() { // read the input on analog pin 0: int sensorValue = analogRead(A0); int dataConv = sensorValue*(256.0/1024); //write analog equvivalant data on led pin analogWrite(led, dataConv); // print out the value you read: Serial.println(sensorValue); Serial.println(dataConv); delay(1000); // delay in between reads for stability } |
Thanks for your help!
In: Computer Science
In an experiment performed at the bottom of a very deep vertical mine shaft, a ball is tossed vertically in the air with a known initial velocity of 10.0 m/s, and the maximum height the ball reaches (measured from its launch point) is determined to be 5.101 m. Knowing the radius of the Earth, RE = 6370 km, and the gravitational acceleration at the surface of the Earth, g(0) = 9.81 m/s2, calculate the depth of the shaft.
In: Physics