The authors of a paper describe an experiment to evaluate the effect of using a cell phone on reaction time. Subjects were asked to perform a simulated driving task while talking on a cell phone. While performing this task, occasional red and green lights flashed on the computer screen. If a green light flashed, subjects were to continue driving, but if a red light flashed, subjects were to brake as quickly as possible. The reaction time (in msec) was recorded. The following summary statistics are based on a graph that appeared in the paper.

n = 47      x = 53   s = 65

a) Construct a 95% confidence interval for μ, the mean time to react to a red light while talking on a cell phone. (Round your answers to three decimal places.)

(_________ , _________)

b) Suppose that the researchers wanted to estimate the mean reaction time to within 7 msec with 95% confidence. Using the sample standard deviation from the study described as a preliminary estimate of the standard deviation of reaction times, compute the required sample size. (Round your answer up to the nearest whole number.)

n = ?

A team of comparative psychologists are interested in the maternal behavior or rats. In an experiment, 10, 20, and 25 day-old rat pups were separated from their mothers. They then recorded the time (in seconds) required for the mother rats to retrieve the pups. The psychologists were interest in whether retrieval time varies with age. The data are given below. What can be concluded with an α of 0.05?

Make an interpretation based on the results.

At least one of the rat pup ages differed on the mother retrieval time.None of the rat pup ages differed on the mother retrieval time.    

e) Conduct Tukey's Post Hoc Test for the following comparisons:
1 vs. 3: difference =  ; significant:  ---Select--- Yes No
1 vs. 2: difference =  ; significant:  ---Select--- Yes No

f) Conduct Scheffe's Post Hoc Test for the following comparisons:
1 vs. 2: test statistic =  ; significant:  ---Select--- Yes No
1 vs. 3: test statistic =  ; significant:  ---Select--- Yes No

Design an experiment that tests the effect of body temperature on the aerobic capacity in an animal of your choice. What variables would you measure, and how? Include detail about experimental design and instrumentation, to show your understanding of how data are acquired. Present hypothetical data (in graphical form), which support your predictions. Make sure to label your graphs accurately and precisely, and use reasonable values (and units) for parameters measured.

An experiment in which 44.00kJ of heat is added to a cube of metal with initial side length 1.00m and temperature 300.K is performed twice, once with a copper cube and once with a lead cube. Fill in the blanks with "<", ">", "=", "N/A". Select N/A only if a comparison is not possible.

The copper cube's initial volume is  the lead cube's.
The copper cube's initial temperature is  the lead cube's.
The copper cube's final temperature is  the lead cube's.
The copper cube's final volume is  the lead cube's.
The copper cube's final mass is  the lead cube's.
The copper cube's final internal energy is  the lead cube's.

The photogates in the experiment are used to determine the speed of the gliders passing through. The photogates measure the time it takes for the photogate beam to go from being unblocked to blocked to unblocked again. You tell the photogate how long your glider is, and the speed is then calculated.

Given the description of what the photogates do, how will you determine the velocity of the glider?

An experiment was carried out to study the effect of the percentage of ammonium​ (Factor A) and the stir rate​ (Factor B) on the density of the powder produced. The results are in the accompanying table. Complete parts​ (a) through​ (e).

At the 0.01 level of​ significance is there an interaction between the percentage of ammonium and the stir​ rate?

-   Stir_Rate   -
Percent_of_Ammonium   100   150
2%   10.83   8.49
2%   14.64   6.84
2%   18.46   9.05
2%   15.86   9.54
30%   12.29   12.97

30%   15.66   15.62

30%   18.26   15.62
30%   15.77   13.81

A.) Determine the value of the test statistic.

FSTAT=

​(Round to two decimal places as​ needed.)

PValue=

B.) at the .01 level of significance, is there an effect due to the percentage of ammonium?

FSTAT=

PValue=

An experiment was conducted to test the effect of a new drug on a viral infection. After the infection was induced in 100 mice, the mice were randomly split into two groups of 50. The first group, the control group, received no treatment for the infection, and the second group received the drug. After a 30-day period, the proportions of survivors, p̂₁ and p̂₂, in the two groups were found to be 0.4 and 0.60, respectively.

Find the test statistic and rejection region. (Round your answers to two decimal places. If the test is one-tailed, enter NONE for the unused region.

z = ?? (please do not use (p1-p2) / SE as it does not work. I have tried this multiple times)

z < = -1.65

z > = NONE

(b) Use a 95% confidence interval to estimate the actual difference (p₁ − p₂) in the survival rates for the treated versus the control groups. (Round your answers to two decimal places.)

In a single slit experiment, the central maximum is:

Electrons would be ejected from silver if the incident light had a frequency of:

What is the mass equivalent of an x-ray with a frequency of 5.63 x 1017 Hz?

An experiment was conducted to determine the effect of a high salt mean on the systolic blood pressure (SBP) of subjects. Blood pressure was determined in 12 subjects before and after ingestion of a test meal containing 10.0 gms of salt. The data obtained were:

1. Is a one-sided or two sided test needed here?
2. What is the mean SBP for each time period?
3. What is the standard deviation for each time period?
4. Which statistical test is appropriate to use on these data?
5. Carry out the hypothesis test(s) in question in above d. Use α=0.01
6. Are the means statistically different?
7. Find the 99% confidence interval for the difference of the two means on SBP. Interpret your finding                                                                                     

In this week's experiment, the heat of vaporization of liquid nitrogen is determined by measuring the change in temperature of a known sample of warm water when liquid nitrogen is added.

In one experiment, the mass of water is 104 grams, the initial temperature of the water is 69.3^oC, the mass of liquid nitrogen added to the water is 60.6 grams, and the final temperature of the water, after the liquid nitrogen has vaporized, is 41.3^oC.

Specific heat of water = 4.184 J K^-1g^-1

How much heat is lost by the warm water?

Heat lost =         J

What is the heat of vaporization of nitrogen in J g^-1?

Heat of vaporization =           J g^-1

What is the molar heat of vaporization of nitrogen?

Molar heat of vaporization =             J mol^-1

Trouton's constant is the ratio of the enthalpy (heat) of vaporization of a substance to its boiling point (in K). The constant is actually equal to the entropy change for the vaporization process and is most often a measure of the entropy in the liquid state. The value of the constant usually lies within the range 70 to 90 J K^-1mol^-1, with a value toward the lower end indicating high entropy in the liquid state.

The normal boiling point of liquid nitrogen is -196^oC. Based upon your results above, what is the value of Trouton's constant?

Trouton's constant =           J K^-1mol^-1