1. You are working on a conservation farm with an endangered species of antelope in central Colorado. You notice that birth weight of offspring seems to correlate with air temperature, but that the relationship is not as strong in females as in males. You wonder why that could be.

a) What is your testable hypothesis?

b) Design an experiment to test that hypothesis.

c) What is your null hypothesis?

d) Describe the type of data you will get from the experiment.

e) What type of statistical analysis will you do, and why is it appropriate?

f) Make up some data – at least 10 total. Run your test and show your calculations.

g) What do your results tell you about your hypothesis?

1. write a hypothesis for this chart?

3. Does the data in the table above support your hypothesis for this experiment? Be sure to use

    your data in explaining whether the hypothesis was supported or not.

4. Explain how the tooth length trait was influenced by natural selection in your experiment

Determine if each statement is true or false by dragging labels from below onto the blank fields next to the statements.

The probability of the sample space in every experiment is 100%100%. (TRUE/FALSE)

No event can occur with a chance of 110%110%.   (TRUE/FALSE)

For any two events EE and FF in an experiment, we have P(E∪F)=P(E)+P(F)P(E∪F)=P(E)+P(F).  (TRUE/FALSE)

For every event EE, we have P(E∪Ec)=0P(E∪Ec)=0.   (TRUE/FALSE)

For every event EE, we have P(E∩Ec)=0P(E∩Ec)=0. (TRUE/FALSE)

It contains information on a two factor experiment involving two types of laundry detergent (Super and Best) and three washing temperatures (cold, warm and hot). The numbers given represent the quantity of dirt removed in each wash. Use Excel to conduct a two-factor ANOVA experiment to determine if differences exist in either the type of detergent or the washing temperature. Also determine if differences exist with respect to the interaction of the two factors. Use α = 0.05.

In a physics lab students are conducting an experiment to learn about the heat capacity of different materials. The first group is instructed to add 1.5-g copper pellets at a temperature of 92°C to 345 g of water at 16°C. A second group is given the same number of 1.5-g pellets as the first group, but these are now aluminum pellets. Assume that no heat is lost to or gained from the surroundings for either group.

(a) If the final equilibrium temperature of the copper pellets and water is 25°C, how many whole pellets did the first group use in the experiment? The specific heat of copper is 0.0924 kcal/(kg · °C).

c.) What is the equilibrium temperature of the aluminum and water mixture for the second group? In celsius.

Millikan received the 1923 Nobel Prize in Physics for the oil drop experiment that was completed in 1910 about 100 years ago when knowledge of the atomic structure was not clear.

(a) what were the two main conclusions of the experiment that were worthy of a Nobel Prize?

(b) It has been reported that Millikan “cherry-picked” his experimental data. What are your thoughts on his treatment of the data – did he commit scientific misconduct?

(c) Why was oil used in these experiments?

(d) Why was it necessary to determine the terminal velocity of an oil drop?

(e) Assume a spherical drop of oil has r_o=824 kg/m³ ; the air has r_a=1.293 kg/m³ ; h=1.81x10^-5

1. What do you feel is the largest source of experimental error in your determination of R?

2. What would be the effect (increase, decrease, or no change) on the calculated value of R of each of the following experimental errors? a. The liquid level in the eudiometer tube is lower than that in the beaker, but this is not taken into consideration in the calculations.

b. The balance used to weigh the magnesium gives a mass that is higher than actual.

c. Some H2 escapes into the beaker during the reaction.

3. Most top-loading balances used in this experiment measure a mass only to the nearest mg ±0.001g. This significantly affects the calculation of R in this experiment. Explain why this is so. How might the procedure be modified to compensate for this systematic error?

Scientific Method

On a walk down to the beach, you observed that the plants change as you get closer to the sea and finally no plants grow when you get to the beach itself. You also observed that there are salt crystals in the soil close to the beach, but not farther away from it.

1.      Formulate a valid question based on the observations listed above.

2.      State a proper scientific hypothesis based on your observations and the question you asked above.

3.      How are you going to test your hypothesis?

4.      What would be the control in your experiment?

5.      What are the variables in your experiment?

The independent variable:

The dependent variable:

6.      What do you think your conclusion would be?

I am currently studying experimental analytical assays such as:

1. deletion analysis + reporter assay
2. linker scanning mutation assay
3. DNase I foot-printing assay
4. Electrophoretic mobility shift assay
5. ChIp-Seq

And I would like to look further into the applications of these methods. I am particularly comfortable with (1), (3), and (4) so any suggestions on an experiment I could test would be much appreciated. Not looking to do anything too complex but just something interesting and simple. I know that this isn't the typical homework question, but we do have to write about a paper about such an experiment that uses one of these methods.

Four factors, each with two levels were studied in a study of the performance of a process: time (A), humidity (B), pressure (C) and the temperature (D). One replicate was run a design 2⁴ and response is presented in the following table.

For this experiment use standard levels for each factor (1,2).

Use MINITAB to set up and analyze the experiment up to 2-level interactions. (i.e. AB, BC, etc…) Note: the response is in not randomized runs. Explain the results!

• What factors and interactions are significant?
• What are the p-value of interactions A*C, A*D and C*D?