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Biology 22 Online
OpenStudy (ammarah):

Std lab help please!!!

OpenStudy (ammarah):

OpenStudy (ammarah):

OpenStudy (ammarah):

@InYourHead

OpenStudy (ammarah):

@InYourHead

OpenStudy (anonymous):

Do you have a graph for this data?

OpenStudy (anonymous):

@InYourHead

OpenStudy (anonymous):

Huh. I've never tagged myself before. Obviously it must be fun, since you felt the need to do it twice in a row.

OpenStudy (anonymous):

@InYourHead

OpenStudy (ammarah):

?

OpenStudy (ammarah):

1. Did you notice anything unusual about your test tube? If so, what?_____________________________________________________________ 2. Did any mating fail to show a positive for an STD? _______ Do you think they should have shown as positives? ________ Explain._________________________________________________________________ ____________________________________________________________ 3. How could you discern who began the infection in the classroom?_________________________________________________________ 4. How many people in your class were infected by the third mating?______; by the fifth mating? ______ 5. What percent of your class was infected by the fifth mating?_________ 6. How does the number of times a person mated affect a person’s chance of becoming infected? ________________________________________________________________________ ____________________________________________________________ 7. In general, how did your class results compare/contrast with results from other classes? ________________________________________________________________________ ____________________________________________________________ 8. Why is more than one set of class data used in the reporting of this experiment?

OpenStudy (ammarah):

OpenStudy (ammarah):

OpenStudy (ammarah):

@InYourHead

OpenStudy (ammarah):

i dont know how to label the y axis.....help me

OpenStudy (anonymous):

It looks like you've labeled them just fine.

OpenStudy (anonymous):

Earlier, I asked you to tell whether or not infection spread across all the classes, QUICKLY, or SLOWLY. Take a look at the graph you made, labeled.... "Average Percent Infected in All Periods vs. Mating Number" (It's the graph with only one red line.) You see that curve? The curve is similar to an EXPONENTIAL INCREASE curve. (You remember what "exponential increase" is?) We know that EXPONENTIAL INCREASES tend to happen QUICKLY.

OpenStudy (ammarah):

yeah yeah

OpenStudy (ammarah):

wait i dont have to label the y axis????

OpenStudy (anonymous):

You already have.

OpenStudy (ammarah):

no like the numbers.....like

OpenStudy (anonymous):

Oh okay. Well....how did you plot the line on the graph, if you didn't already have all the numbers??

OpenStudy (ammarah):

well i kind copied my friends but she didnt have the numbers labeled....so i wanna know how to graph this.....

OpenStudy (ammarah):

i have the data table above if u scroll up..

OpenStudy (anonymous):

I would ask your friend the same exact question I just asked you.

OpenStudy (ammarah):

well i think she copied it from someone else....

OpenStudy (anonymous):

Oh my god you people.

OpenStudy (ammarah):

lol (:

OpenStudy (ammarah):

hey im sending you the discussion please revise and correct it and see what i need to add more k??

OpenStudy (ammarah):

It has to be one page an so i finished the discussion and the conclusion..

OpenStudy (anonymous):

Anyway, let's look at the graph I already mentioned: the one with just one RED line. "Average Percent Infected In All Periods vs. Mating Number" ~~~~~~~~~~ I would plot the Y axis with numbers that range from 0% to 60%. This is because the lowest percent is 3% and the highest is 56% In order to make the numbers line up with the points and line that you have already made, you MAY need to re-do the entire graph.

OpenStudy (ammarah):

Discussion/Conclusion: This STD lab showed whether or not I would get infected after mating with five random people. After the fifth mating, the results showed that I had not been infected. I had a 60% chance of getting STDs after the mating. My hypothesis was wrong because I had predicted that about 50% of the class would get STDs. Out of all the four periods, the amount of students infected was quite similar. The most infected out of all four periods was period two. Period two had about 57 students who were infected. The lab showed the average percent and the total amount of students who were infected. In my graphs, the infections seemed to spread very quickly. In the graphs it shows the percentage of students that were infected in period two vs. mating number. My second graphs show the average percent infected in all periods vs. mating number. The last two graphs show the percent of infection in each period and change in infection number for each period. Each of the graphs is increasing very quickly. Sexually transmitted diseases (STDs) can be transmitted from person to person through sexual contact of body fluids such as the blood, semen, bodily secretions, saliva, etc. Another question that I would have had for this lab is how an STD is passed on from person to person. My hypothesis for this is that “If I make sexual contact with a person who has had many other sexual contacts, then I would be likely to get STDs.”

OpenStudy (ammarah):

The answer to my question is that If each person makes sexual contact with five random people in all of the classes, then about 60% will get STDs after the 5th mating. My hypothesis was not correct because I had predicted that about half of 50% of the students will be infected.

OpenStudy (ammarah):

no no i dont want to redo the graph!!!! cant i do something cuz my friends graph was correct!!

OpenStudy (ammarah):

can u please check my discussion first i need to print it out...

OpenStudy (ammarah):

and submit it to my teacher before a certain time..

OpenStudy (anonymous):

I'm looking at the single red-line graph.... and I actually do think you'll have to re-do it. We're supposed to plot the line, ONLY after we have labeled the numbers. I have no idea how your friend's friend decided to label it. The CURVE of the line is correct. But the way that the points line up with the axis....I don't see how it makes sense.

OpenStudy (anonymous):

Look at the bottom graph on this page: http://assets.openstudy.com/updates/attachments/5125810de4b04f674e7c3151-ammarah-1361493149142-anoth.jpg At mating #0, the percent infected was 3%. At mating #1, the percent infected was 5% At mating #2, the percent infected was 11% Do you see how it the jump makes no sense?

OpenStudy (ammarah):

i know but cant we come up with the numbers.......like what i mean is that create the percentages....the teacher said we can go by 10 or 15 u know what i mean??

OpenStudy (anonymous):

Your conclusion sounds alright. You wanna include the part about how this experiment applies to real life. Does this experiment show how quickly STDs could transfer, in real life?

OpenStudy (anonymous):

Yeah I know. So, if we're following your teacher's advice, then every sqaure, along the Y axis, might be 5%. 5, 10, 15, 20, 25, 30 .... you get it?

OpenStudy (anonymous):

But that's not how the line has been drawn, on the graph.

OpenStudy (ammarah):

I dont know what to write about real life......and The experiment does show how quickly STDs could transfer in real life because about 60% of the students got it...

OpenStudy (anonymous):

Yeah you could say that. You could also say that the curve showing the increase in infection resembled an exponential curve. Because once again, we know that exponential curves rise quickly.

OpenStudy (ammarah):

ok now how about the real life part?

OpenStudy (ammarah):

do u know what i can put?!!

OpenStudy (anonymous):

That is the real life part. You can point out that the experiment suggested that STDs can spread rapidly, in real life, because the experiment showed that the number of infected people increase almost exponentially.

OpenStudy (ammarah):

Ok now im submitting my esay .....CHECK FOR GRAMMER AND IF EVERYTHING SOUND RIGHT!!!

OpenStudy (ammarah):

Discussion/Conclusion: This STD lab showed whether or not I would get infected after mating with five random people. After the fifth mating, the results showed that I had not been infected. I had a 60% chance of getting STDs after the mating. My hypothesis was wrong because I had predicted that about 50% of the class would get STDs. Out of all the four periods, the amount of students infected was quite similar. The most infected out of all four periods was period two. Period two had about 57 students who were infected. The lab showed the average percent and the total amount of students who were infected. In my graphs, the infections seemed to spread very quickly. In the graphs it shows the percentage of students that were infected in period two vs. mating number. My second graphs show the average percent infected in all periods vs. mating number. The last two graphs show the percent of infection in each period and change in infection number for each period. Each of the graphs is increasing very quickly. Sexually transmitted diseases (STDs) can be transmitted from person to person through sexual contact of body fluids such as the blood, semen, bodily secretions, saliva, etc. Another question that I would have had for this lab is how an STD is passed on from person to person. My hypothesis for this is that “If I make sexual contact with a person who has had many other sexual contacts, then I would be likely to get STDs.” This experiment suggested that STDs can spread rapidly in real life because the experiment showed that the number of infected people increase almost exponentially. The answer to my question is that if each person makes sexual contact with five random people in all of the classes, then about 60% will get STDs after the 5th mating. My hypothesis was not correct because I had predicted that about half of 50% of the students will be infected.

OpenStudy (ammarah):

okok forget that remember the data that i asked u before.....u can help me with that now..

OpenStudy (anonymous):

sorry, which data?

OpenStudy (ammarah):

1. Did you notice anything unusual about your test tube? If so, what?_____________________________________________________________ 2. Did any mating fail to show a positive for an STD? _______ Do you think they should have shown as positives? ________ Explain._________________________________________________________________ ____________________________________________________________ 3. How could you discern who began the infection in the classroom?_________________________________________________________ 4. How many people in your class were infected by the third mating?______; by the fifth mating? ______ 5. What percent of your class was infected by the fifth mating?_________ 6. How does the number of times a person mated affect a person’s chance of becoming infected? ________________________________________________________________________ ____________________________________________________________ 7. In general, how did your class results compare/contrast with results from other classes? ________________________________________________________________________ ____________________________________________________________ 8. Why is more than one set of class data used in the reporting of this experiment?

OpenStudy (ammarah):

all the data scrolll upp

OpenStudy (anonymous):

Okay. Well, using your data, you can answer most of these questions already. We can talk about other questions like #3 and #6. I've mentioned this before. You remember? For instance, we can determine who began the infection, by finding the people who were already infected, at mating #0. They were infected, even before they started sharing their test tubes. You see?

OpenStudy (ammarah):

yeah i know that i need help with numbers 7 and 8

OpenStudy (anonymous):

Which period were you? 2?

OpenStudy (ammarah):

yess

OpenStudy (ammarah):

for number 1 i put No2. no and yes but i dont know what to explain 3. the people who were already infected at mate #0. 4. 11 and 1 5. 60% 7.? 8.?

OpenStudy (anonymous):

Well, I'm looking at your data, and I can tell that compared with most other periods, your period had about the same number of infected people, at each mating. The only exception was period 4. They had 86% infected, in the end. They were filthy.

OpenStudy (ammarah):

wait which question r u talking about?

OpenStudy (anonymous):

#7.

OpenStudy (ammarah):

thats the answer??

OpenStudy (anonymous):

So, all in all, there wasn't much of a difference between period 2, and periods 1 and 3

OpenStudy (anonymous):

That's my observation. You can write the answer in your own words.

OpenStudy (anonymous):

#8 asks us why more than one set of class data was used. It's simple: the more sets of data we use, the more accurate of an interpretation we can get.

OpenStudy (ammarah):

Are the rest above correct?

OpenStudy (ammarah):

And how would u explain number two if i put yes for the second blank

OpenStudy (anonymous):

Shouldn't your first blank, in #2, say "no"? If you're only looking at your own period, that is.

OpenStudy (ammarah):

ohhhhhhhhhh

OpenStudy (anonymous):

Hold on.

OpenStudy (anonymous):

It asks us if any mating failed to show a positive, for an STD. I wonder, are you supposed to look at the CLASS data? Or your own INDIVIDUAL data? Because here's the thing: It makes sense that some people should be STD NEGATIVE (have no STDs) at mating #0. Because it would make sense for some people to not be infected, before the mating begins. You see?

OpenStudy (ammarah):

i dont know what do u think??

OpenStudy (ammarah):

ohh i know its for only my class

OpenStudy (anonymous):

Well, I know that for your class, there was always someone who was infected.

OpenStudy (ammarah):

NO NO its talking about my test tube not the class.....see if u take a look at question 1 omg its

OpenStudy (ammarah):

so now am i correct??

OpenStudy (anonymous):

Can you please give me the data for your own test tubes?

OpenStudy (anonymous):

Actually, tell me, from matings #0 through 5, which of your test tubes were not infected?

OpenStudy (ammarah):

none of them were infected..

OpenStudy (anonymous):

Are you serious? At the end of your experiment, NONE of your test tubes had been infected?

OpenStudy (anonymous):

Well if that's true, then you just happened to be very very lucky.

OpenStudy (ammarah):

yeah...so whats the answer??

OpenStudy (anonymous):

There is no answer. This is a question of opinion. Here's a question, did you share your test tube with the same people, every mating session?

OpenStudy (anonymous):

At the end of your experiment, I see that 51% of the people in your class were infected. That's just about a 50/50 chance. So maybe you weren't SO lucky, after all.

OpenStudy (ammarah):

so its no

OpenStudy (anonymous):

First blank: yes. Obviously because NONE of your test tubes were infected. Second blank: You COULD say "no." And explain that there was nearly a 50% chance that you weren't going to be infected.

OpenStudy (anonymous):

It looks like you've covered what you need, in your Discussion. If I were you, I'd mention that the experiment shows how quickly STDs could spread, in real life, because of the exponential growth or infection percentages shown by the graph. (The one with the red line, remember?) Good luck with your lab report.

OpenStudy (anonymous):

Keyword: Exponential

OpenStudy (ammarah):

isnt the first blank no?

OpenStudy (ammarah):

ok is the rest of my answers correct????????1

OpenStudy (abb0t):

It means you have the infection.

OpenStudy (anonymous):

The first blank, in #2 would be YES. ALL of your test tubes failed to show a positive for an STD. Because NONE of them had an STD. None of them were infected. Like abb0t says, to be POSITIVE for STD means that you DO have the STD.

OpenStudy (anonymous):

#4 is wrong. Look at your data chart, here: http://assets.openstudy.com/updates/attachments/5125810de4b04f674e7c3151-ammarah-1361412565243-datatable.jpg Look sat Period 2. Your period. #4 asks us... How many people were infected by the third mating? How many people were infected by the fifth mating? It doesn't look to me like 11 and 1.

OpenStudy (anonymous):

Okay.....#5 is wrong too. Look at that data chart again. By the fifth mating, what percentage of your 2nd period class was infected? It's written right there. And it's not 60%

OpenStudy (anonymous):

......come to think of it, where did you even get 60%?

OpenStudy (ammarah):

i dont knowww...i dont get it..

OpenStudy (anonymous):

Okay. Look at #4. How many people in your class were infected by the THIRD mating? The number is written right there on your data chart: 4 How many people in your class were infected by the FIFTH mating? Again, the number is written there: 21 4 and 21 Can you find that on your data chart?

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