Elaine was enjoying a pleasant day on the ski slopes at Winter Park. When she got on the lift to the top of Parsenn Bowl (12,000 ft), the weather was fine—windy, but sunny. During the 5- or 10-minute ride, the weather changed suddenly; it became a white-out, with icy surface snow, blowing snow, a very strong wind, and extremely low visibility. Many people fell as they got off the lift, including Elaine. However, she got up and joined her family members as they stood, wondering just how they were going to get down the mountain. Meanwhile, the lift closed due to the terrible conditions (50-mile-an-hour wind and a temperature of −20° F). As she adjusted her stance, Elaine somehow twisted and fell again, which resulted in external rotation of her right knee. There was no pain at the time and she thought she could get up and prepare to get down the mountain, but her knee was too unstable. While she sat on the icy surface, her husband notified the lift operator to call the Ski Patrol. In about 20 minutes they arrived and put her on a sled, which they skied down the slope; when they reached the Ski Patrol headquarters, they transferred the sled to a snowmobile and promptly got her down the mountain and into the emergency room.

What would happen to her body if the homeostatic mechanism failed?

What areas of the body would be the most vulnerable to frostbite?

What are the signs and symptoms of frostbite?

Give an example of a negative feedback mechanism that is describing her condition right now. Label all of the components and put what is occurring in her body at this time.

You may need to use the appropriate technology to answer this question.

An amusement park studied methods for decreasing the waiting time (minutes) for rides by loading and unloading riders more efficiently. Two alternative loading/unloading methods have been proposed. To account for potential differences due to the type of ride and the possible interaction between the method of loading and unloading and the type of ride, a factorial experiment was designed. Use the following data to test for any significant effect due to the loading and unloading method, the type of ride, and interaction. Use α = 0.05.

Find the value of the test statistic for method of loading and unloading.

Find the p-value for method of loading and unloading. (Round your answer to three decimal places.)

p-value =

State your conclusion about method of loading and unloading.

Because the p-value > α = 0.05, method of loading and unloading is not significant.Because the p-value ≤ α = 0.05, method of loading and unloading is significant.     Because the p-value ≤ α = 0.05, method of loading and unloading is not significant.Because the p-value > α = 0.05, method of loading and unloading is significant.

Find the value of the test statistic for type of ride.

Find the p-value for type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about type of ride.

Because the p-value ≤ α = 0.05, type of ride is not significant.Because the p-value ≤ α = 0.05, type of ride is significant.     Because the p-value > α = 0.05, type of ride is not significant.Because the p-value > α = 0.05, type of ride is significant.

Find the value of the test statistic for interaction between method of loading and unloading and type of ride.

Find the p-value for interaction between method of loading and unloading and type of ride. (Round your answer to three decimal places.)

p-value =

State your conclusion about interaction between method of loading and unloading and type of ride.

Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is significant.Because the p-value > α = 0.05, interaction between method of loading and unloading and type of ride is not significant.     Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is significant.Because the p-value ≤ α = 0.05, interaction between method of loading and unloading and type of ride is not significant.

2. You may need to use the appropriate technology to answer this question.

The calculations for a factorial experiment involving four levels of factor A, three levels of factor B, and three replications resulted in the following data: SST = 282, SSA = 26, SSB = 22, SSAB = 179.Set up the ANOVA table. (Round your values for mean squares and F to two decimal places, and your p-values to three decimal places.)

Test for any significant main effects and any interaction effect. Use α = 0.05.

Find the value of the test statistic for factor A. (Round your answer to two decimal places.)

Find the p-value for factor A. (Round your answer to three decimal places.)

p-value =

State your conclusion about factor A.

Because the p-value ≤ α = 0.05, factor A is not significant.Because the p-value ≤ α = 0.05, factor A is significant.     Because the p-value > α = 0.05, factor A is not significant.Because the p-value > α = 0.05, factor A is significant.

Find the value of the test statistic for factor B. (Round your answer to two decimal places.)

Find the p-value for factor B. (Round your answer to three decimal places.)

p-value =

State your conclusion about factor B.

Because the p-value ≤ α = 0.05, factor B is significant.Because the p-value ≤ α = 0.05, factor B is not significant.     Because the p-value > α = 0.05, factor B is not significant.Because the p-value > α = 0.05, factor B is significant.

Find the value of the test statistic for the interaction between factors A and B. (Round your answer to two decimal places.)

Find the p-value for the interaction between factors A and B. (Round your answer to three decimal places.)

p-value =

State your conclusion about the interaction between factors A and B.

Because the p-value > α = 0.05, the interaction between factors A and B is not significant.Because the p-value ≤ α = 0.05, the interaction between factors A and B is not significant.     Because the p-value ≤ α = 0.05, the interaction between factors A and B is significant.Because the p-value > α = 0.05, the interaction between factors A and B is significant.

A student who is trying to write a paper for a course has a choice of two topics, A and B. If topic A is chosen, the student will order two books through interlibrary loan, whereas if topic B is chosen, the student will order four books. The student believes that a good paper necessitates receiving and using at least half the books ordered for either topic chosen. If the probability that a book ordered through interlibrary loan actually arrives in time is 0.8 and books arrive independently of one another, which topic should the student choose to maximize the probability of writing a good paper? (Enter your answers to four decimal places.)

Which topic should the student choose if the arrival probability is only 0.6 instead of 0.8? (Enter your answers to four decimal places.)

Summary statistics of birth weights of infants (in lbs.) born to mothers who are smokers and non-smokers are shown:

(2-pts) Is this a Single Sample Z-test, a Paired t-test or a Two Independent Samples t-test?

(Circle one) Single Sample Z-test   /   Paired t-test   /   Two Independent Samples t-test

B.    (14-pts) Test the mean difference for significance: u₁ – u₂ = 0

(2-pts) Hypothesis statements (you choose either 1-sided or 2-sided test)

Ho: u₁ – u₂ ____________

Ha: u₁ – u₂ ____________

(2-pts) ₁ - ₂ = _______

(2-pts) SE = __________   note: (1.1)²/11 = 0.11 and (0.8)²/14 = 0.046

(1-pt) df_conservative = _________

(2-pts) Test statistic = __________

(2-pts) p-value approximation

(3-pts) Conclusion of significance

Consider each of the statements below. For each statement, decide whether it is sometimes, always, or never a true statement.

   ?    Always    Sometimes    Never      1. In a hypothesis test, the direction of the alternative hypothesis (right-tailed, left-tailed, or two-tailed) affects the way the effect size is estimated.

   ?    Always    Sometimes    Never      2. In a hypothesis test, the direction of the alternative hypothesis (right-tailed, left-tailed, or two-tailed) affects the way the p-value is computed.

   ?    Always    Sometimes    Never      3. A hypothesis test that produces a ?p-value <0.001<0.001 will produce an effect size |?̂|>0.8|d^|>0.8

   ?    Always    Sometimes    Never      4. If two identical studies on the same topic both produced estimated effect sizes less than ?̂=0.6d^=0.6, a third study that uses the same procedures will also produce an estimated effect size less than 0.60.6.

   ?    Always    Sometimes    Never      5. In general, increasing the sample size in a statistical study will decrease the standard error of the statistic computed from the sample.

Galeazzi Corporation makes a product with the following standard costs:

In October the company produced 3,000 units using

8,380 pounds of the direct material and 2,610 direct labor-hours. During the month, the company purchased 9,500 pounds of the direct material at a total cost of $55,100. The actual direct labor cost for the month was $48,546 and the actual variable overhead cost was $16,965. The company applies variable overhead on the basis of direct labor-hours. The direct materials purchases variance is computed when the materials are purchased.

Required:

a. Compute the materials quantity variance.

b. Compute the materials price variance.

c. Compute the labor efficiency variance.

d. Compute the labor rate variance.

e. Compute the variable overhead efficiency variance.

f. Compute the variable overhead rate variance.

True or False

A) Let’s say that is has been established that a 95% confidence interval for the mean number of oranges eaten per week per person is 0.8 to 2.6. True or false: The mean number of oranges eaten for 95% of all samples will fall between 0.8 and 2.6. No explanation necessary.

B)     True or false: X-bar is the mean of the sampling distribution? (It is found in the center.)

Choose from the following

There is a group of people. The average height of these people is 67 inches. Is it more likely to pick an individual who is more than 68 inches tall or a sample of four people who average more than 68 inches tall? Or are they probabilities equal? Or is it impossible to tell? You do not have to explain your answer.

Group of answer choices

a. They are equally likely

b. More likely to pick a sample with an average more than 68 inches

c. It is impossible to tell

d. More likely to pick an individual taller than 68 inches

1. A three-phase overhead line 200 km long has resistance= 0.16 Ω/km an conductor diameter of 2 cm with spacing of 4 m. Find: (a) the ABCD constants (b) the Vs and Is. When the line is delivering full load of 50 MW at 132 kV and 0.8 lagging pf, (c) efficiency of transmission line.

2. A three-phase voltage of 11 kV is applied to a line having R = 10 Ω and X = 12 Ω per conductor. At the end of the line is a balanced load of P kW at a leading power factor. At what value of P is the voltage regulation zero when the power factor of the load is (a) 0.707, (b) 0.85?

3. The generalized circuit constants of a transmission line are A - 0.93+j0.0 1 6 B=20+ j14 0 The load at the receiving-end is 60 MVA, 50 Hz 0.8 power factor lagging. The voltage at the supply end is 22O kV. Calculate the load voltage.

QUIESTION 1
A three-phase synchronous generator is connected to an infinite bus. The infinite bus voltage and the generated voltage are o 1.0 pu ∠0 and o 1.0pu ∠42.84 , respectively. The synchronous reactance is 0.85 pu and resistances are neglected. a) Compute power angle (δ), armature current (Is), power factor (pf), real power (P), and reactive power (Q). Draw the phasor diagram. b) If the prime mover torque is kept constant at a value corresponding to P=0.8 pu, compute the required value of the generated voltage (E2) for the unity power factor condition (and constant power, P=0.8 pu). What is the new value of power angle (δ2)? Solution: δ= 42.84o , Is = 0.86pu ∠21.44o , pf=0.93, P=0.8 ph, Q= -0.314pu, δ2 = 34.2o , E2= 1.21pu

QUESTION 2
Two “three-phase Y-connected synchronous generators” have per phase generated voltages of o 1 E = 120 V∠10 and o 2 E = 120 V∠20 under no load, and resistance of X j5 Ω / phase 1 = and X j8 Ω / phase 2 = . They are connected in parallel to a load impedance of XL = 4 + j3 Ω / phase . Compute: a) Per phase terminal voltage Vt (both magnitude and phase angle). b) Armature currents for each generator ( a1 a2 I and I ). c) Power supplied by each generator (P1 and P2 ). d) The total output power (Pout ). Solution: Vt= 82 V ∠-5.94o , Ia1 = 9.36 A ∠-51.17o , Ia2 = 7.31 A ∠-32.06o , P1 = 1621 W, P2 = 1614.5 W, Pout = 3236 W.