cynthiaguzma's blog

If all domestic dogs are being killed at a terrible speed and predicted to be extinct and there is a vaccine that can save one pregnant mother and her puppies the breed of dog that should be saved is Labrador Retrievers. Labrador dogs are hard working dogs and can be spotted in many different scenarios. This dog is always focused and gets the job done. They can be seen working at airports as security, working with the police force, being a guide dog, and being a faithful companion to children.  After all they are the most popular dog in America they have intelligence and friendliness. The breed is highly energetic but at the same time obedient and well trained. This would be the ideal dog to save one that can work and help the government but also be a loyal companion and friend.

The hypothesis is rejected because the reaction occurred slower then the control's reaction did. The reaction decreased. Not only that but the reaction did not last as long as the control's. At five minutes the reaction had stopped all together which might have been because there was no more substrate. It might have also been because of the high temperature the hydrogen peroxide was placed in, which is where the yeast was also held. Since the temperature was at 65 degrees Celsius, that might have been too high for the protein causing it to become denatured. Once denatured it loses its shape. No more substrate the reaction cannot continue. Connecting this lab to the real world, enzymes are found in many parts of the human body from the mouth, used to breakdown food this called saliva. To the stomach as well to the digestive system. These enzymes work best at certain temperatures, which is evident in the lab conducted. The body regulates the temperature which ensures that the enzymes work at their best and are not denatured.

The equation we found for the period of a pendulum was T= 2π(√L/g). Given that pi and g are constants with actual numeric values, this means that the only actual variables in the equation are T (period) and L(length) meaning that there has to be a relationship between the two variables. To verify the equation that we found, we have to identify the independent and dependent variables. Independent would be the period and length would the dependent as it’s the only variable we can actually change ourselves. Given that we want a linear relationship, we have to make sure that the formula follows the y = mx+ b format where the dependent variable is multiplied by some constant to get y. To get this we have to change the equation so that L is isolated on the right side of the equation. Therefore T2 = (4π2/g)L. This means that when we graph the data, we have to square the period that we find to get a linear graph. To actually get the data, we decided to use a piece of string attached to a mass (mass is not important to this lab, so we choose a random value) and then swung it from a constant angle (which again, also didn’t really matter as angle was not included in the equation) and calculated the period of the swing. Then we recorded what we found.

The shoe price of the rubber sample, shoe, depends on the durability of the product a cheaper shoe will last a lot less to the consumer in comparison to an expensive shoe which can be seen in the durability table. With each sample there is a six month difference in durability between the previous sample and it can be seen that the most expensive sample, 2, does not last the longest but it does have the highest coefficient at .88. A higher coefficient was dependent on the force of friction that was found, a smaller friction force would lead to a smaller coefficient, this can be seen in the coefficient data table.

After analyzing all the data it is clear that there is only one choice for which sample to choose and it is sample 2. All though the price of what will be the shoe is a lot more then what is wanted the other samples cannot compare to the quality of sample 2 making it the best and only choice. People will buy Nike shoes no matter the price if a shoe of low quality, sample 1, is sold people will have lower expectations for Nike the shoe will wear out quickly and people will not buy the shoes again. The amount of grip the shoes has also plays an important role, sample 3 which has the longest durability does not have the best grip which will not end in a great product. Sample 2 lasts a good amount of time which will keep the quality of the brand while having a better grip giving the consumers a great product that they will buy no matter the price.

Tympanoctomys aureus, also known as Golden Vizcacha Rat, is a species that is classified as critically endangered from the South American country of Argentina. Its habitat includes the wetlands and the population of the species has been decreasing. The major threat to this species has to do with the loss of its habitat which is due to agricultural expansion that is occuring in Argentina. All of the indiviuals of this species live in a single location that is less than ten kilometers squared large. The threats are not solely argicultural they also have to do with annual and perennial non-timber crops, small farming, and agro farming. There is no solid information available on the population status of this species. There is no known conservation actions taking place to ensure that this species begins to thrive. 

The last time I took a Statistics course in college was back in freshman year during my second semester of college. I vaguely remember many different concepts that were discussed in class but I would not be able to solve a bunch of different statistics problems. However there have been concepts that have come up again and again in classes that I have taken since my freshman year. An example of this would be chi square problems which seem to be very popular in biology. Chi square problems are done in order to be able to reject or not reject a hypothesis. Observed values are give and expected values are found. The way the problems work is that observed is minus expected and the value that is found is then squared and divided by the expected value. This is done for every single observed value and all of these are added together. The number at the end is then compared to the number found under the degrees of freedom and comparing the two numbers tells you whether or not we accept or reject the hypothesis. Another common thing in physics is standard deviation which is also common in biology. This just tells you the amount of variation that there is in a group as a whole. A low standard deviation tells you that the numbers are pretty close to the average while a high standard deviation tells you that the numbers are spread apart. I also remember doing something involving p values as well as doing combinations. These combinations could be solved by nCr. These are just some of the things I remember from statistics.

The last time I took Statistics was freshmen year of college which seems like it was a really long time ago. There are a lot of things I vaguely remember from the class but most of the things I remember are due to the fact that they still play a major role in classes that I have taken that are science related. Such as in classes involving genetics chi square problems can be super popular in order to help identify whether or not a hypothesis can be rejected. For chi square problems I know we get an observed value that is given to us and an expected value is one that we must find on our own. We do observed minus expected and square that value and divide it by the expected in order to come to a value. We do this for every observed value and add up all of these values we compare the number that we get to the number given to us by the degrees of freedom and that tells us whether or not we can accept a hypothesis. In physics classes that I have taken in college we have discussed standard deviation which is something that comes up in statistics. I also vaguely remember t-tests and the graph that has to do with confidence and p-values. Also I remember having to figure out the probability of something happening a different number of times with different combinations.

Our gut feeling told us that switching would bring better chances of winning the Hershey kiss, but if we switched and then got it wrong (while our original answer was correct) we would have felt frustrated, since probability says there are better chances of winning because of the switch. If we had stayed and gotten our original choice wrong, I think we would have felt better than switching and getting it wrong. Although staying would decrease the odds of winning, sometimes you want to trust your gut and original pick. Even though switching would bring better odds of winning, if you think you chose correctly the first time it might be hard to switch to the other one.We selected a cup, then were shown a cup which didn’t contain the candy, and we switched our guess to the other cup. 7 times out of 10 the cup we switched to contained the candy. We won the game 7 times. Our winning probability is .7 or 70%. We are not surprised by these results since the probability of winning when a switch is made is higher than the probability of winning when choosing to stay with the original choice. It makes sense that the mean of winning is higher when switching.