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Fish Farm II
Posted March 19, 2001 as a Math Forum EPoW


Introduction: In this problem, students collect data on randomly chosen fish from a pond. Using this data, they try to determine the ratio of male fish to female fish in the pond.


Where’s the Math:
This problem allows students to investigate different data collection methods. Students realize that they get different data depending on whether they have a small sample size, but a large number of trials; a large sample size and a small number of trials, etc. With further experimenting, students can discover which method of collecting data gives the most accurate results. In addition, the bonus question deals with the concept of expected value. Given the number of fish in the pond and the size of the sample, students can realize intuitively that the ratio of males to females in their sample should be close to the actual ratio. If they investigate the probability of getting a male or female fish, they can discover the formula for expected value, and why it works.

Standards: Number & operations, data analysis & probability

Role of Components: AgentSheets is used to display the simulation. A number entry field is used to input the sample size, and a swing slider is used to control the speed. A button panel is used to control the simulation. Pie Chart displays the pie graph of the male:female ratio, and Bundle (Data Recorder) displays the data in the table. Evaluator computes the percentages of male and female fish caught. Guarded Action stops the simulation when the specified number of trials has been performed.

Try the applet!

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Sample submitted solutions:

From:  Katie, age 20
School:  North Carolina State University, Raleigh, North Carolina


1. Which triplet's backyard pond most closely matches the male:female ratio in the lake?  Justify your answer with data you collected. In your explanation, tell us which display(s) of data you used to help you and how it helped.  Remember, Angel's pond has a 1:1 ratio, Molly's pond has a 3:1 ratio [three times as many males as females], and Gar's pond has a 1:2 ratio [twice as many females as males].
Angel's pond with a ratio of 1:1 most closely matches that of the lake. In the data that I collected there were only a few more males than females, resulting in having percentages like 55:45, 54:46, and 56:44, all three of which came up twice each. This data came from an overall total of 700 scoops(200,200,100,100,50,50). With this data, there is definitely not a 3:1 ratio of males to females. And since there are more males coming up than females, I do not think that it could possibly be a 1:2 ratio of males to females. Thus, the only logical answer, as it seems to me, would be for a ratio closest to 1:1.

2. What is your best estimate of the percent of fish in Lake Mark that are male? Describe the strategy you used to determine this estimate.
My best estimate of percentage of male fish would be around 55%. I determined this by taking the average of the 55,55,54,54,56,56 different percentages that came from the data.

3. How confident are you that your estimate is close to the actual percent of fish that are male?  What makes you feel confident about your estimate, and what would make you feel more confident?
I am fairly certain, around 90%, that my estimate is close to the actual percent of fish in the lake. I think that having the data show so close results every time, that the data has to be fairly close to accurate. I would feel more confident with more scooping to further my hypothesis.

Bonus: Suppose we knew that Lake Mark had just been filled with 350 male and 650 female fish. About how many male and female fish might be caught if you scooped a fish 10 times? What if you scooped a fish 700 times? How confident are you that your prediction would be close to an actual sample? Explain your reasoning.
I think that with only 10 scoops the prediction would not be justified enough because of such little sampling, so I think that the scooping would show an almost even trend, with a few more female fish than males. With 700 scoops, I think that the true ratio would be shown, or close to it, showing nearly twice as many females and males. I think that my prediction is fairly accurate, around maybe 80%. I definitely think that there is a possibility of the outcome being different from that of my prediction.


From:  Matt, age 21
School:  North Carolina State University, Raleigh, North Carolina


1. Which triplet's backyard pond most closely matches the male:female ratio in the lake?  Justify your answer with data you collected. In your explanation, tell us which display(s) of data you used to help you and how it helped.  Remember, Angel's pond has a 1:1 ratio, Molly's pond has a 3:1 ratio [three times as many males as females], and Gar's pond has a 1:2 ratio [twice as many females as males].
The ratio in the lake most closely resembles Angel's ratio of 1:1. The data I collected showed the amount to be 55% male and 45% female in the lake. This is closest to Angel's ratio which would be 50% male and 50% female. The closest other pond would be Gar's which was approximately 33% male and 66% female. The data I collected was first with 10 scoops. It was 5 male and 5 female. Then I tried 1000 scoops and the lake had 54.3% male and 45.7% female. I then tried 5000 scoops to make sure my percentages were correct. When I tried 5000 I got 55.3% male and 44.7% female. Now I was sure I had the right amount. To compare the ratios I multiplied all the ponds so the total of the ratio was 100. Angel's ratio became 50:50, Gar's became 33:66 and Mollie's became 75:25. Then I compared my ratio of 55:45 and saw that Angel's ratio was the closest.

2. What is your best estimate of the percent of fish in Lake Mark that are male? Describe the strategy you used to determine this estimate.
As I discussed in #1, I used the ratios totaling 100 to find the percent. The lake was approx. 55% male and 45% female. I used the ratios I found and the percent given in the table to come up with this estimate.

3. How confident are you that your estimate is close to the actual percent of fish that are male?  What makes you feel confident about your estimate, and what would make you feel more confident?
I am very confident because I scooped so many fish. When I scooped 1000 and then 5000, this gave me a very broad look at the lake. I am confident because with this many trials, the chance of having data that is falsly represented decreases. In other words, the more scoops I make the closer to the actual percent I will get. The only way to be more certain is to take even more scoops, perhaps 50,000.

Bonus: Suppose we knew that Lake Mark had just been filled with 350 male and 650 female fish. About how many male and female fish might be caught if you scooped a fish 10 times? What if you scooped a fish 700 times? How confident are you that your prediction would be close to an actual sample? Explain your reasoning.
If we scooped ten fish, we could expect 3 male and 7 female or 4 male and 6 female. However, with such a small number, the amounts could be unrepresentative of the amount. In other words, we could get 8 male and 2 female. On the other hand if we scooped 700 fish, we would be more likely to get closer to the ratio that is represented in the pond. I would expect approximately 245 males and 455 females. This is because this ratio is equivalent to the 350:650 that was placed in the lake. Therefore, we can use this ratio to estimate the number of each sex that will be taken out with any number of scoops. Therefore, given any number of scoops, you could be confident that your prediction was fairly close to the correct amount because you had equivalent ratios. The reason these ratios are equivalent is that the male amount is the same part of the total fish. In other words, the percent of male and female fish is the same in each ratio and the ratio of males to females is also the same.

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Reflections: For question 1, some students were unwilling even to evaluate the 1-to-1 ratio as a possibility if the scoops did not produce an exact 1-to-1 ratio. They were able to compare the other values but did not recognize that a 57% male population was closer to the 1:1 ratio than to 1:2. They seemed to have a better grasp of what 1-to-1 means both visually and mathematically, thus making it easy to discount based upon preliminary, although slightly inaccurate, data. Students generally picked a sample size and then evaluated it from 3 to 5 times. Not changing the sample size, and missing the leveling trend on male percentages, affected the following questions.

For question 3, many students did not base their confidence levels on the leveling effect of numerous scoops with large samples. Answers were generally vague, and stated that it would have been better if we knew how many fish were in the pond, or if they could all be counted. Students either used large samples from the start, or never even noticed that the percentages changed when larger samples were scooped. This prevented a high confidence rating. Not many students seemed to see the data trend change over sample size.

The bonus caused some confusion for a group of students from the Caroline Davis school. They did not know whether there were fish in the pond before more were added. The number of students that tried the bonus was significantly lower because of this. Others were able to complete the mathematical percentages expected or they figured that the larger number of scoops would be more accurate. Only one student received credit for the bonus for understanding the entire concept.

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