One typical human skeleton includes all of the following except. 20 middle phalanges. 22 long bones that lack landmarks called quot;headsquot; of…

One typical human skeleton includes all of the following except…

A. 20 middle phalanges.

B. 22 long bones that lack landmarks called “heads” of those bones.

C. 86 bones that are classified as flat or irregular bones.

D. 7 flat bones that are part of the pectoral girdle or pelvic girdle.

E. If all of the above are true, choose this response.

At one instant a bicyclist is 38.0 m due east of a park’s flagpole, going due south with a speed of 14.0 m/s. Then 23.0 s later, the cyclist is 38.

At one instant a bicyclist is 38.0 m due east of a park’s flagpole, going due south with a speed of 14.0 m/s. Then 23.0 s later, the cyclist is 38.0 m due north of the flagpole, going due east with a speed of 14.0 m/s. For the cyclist in this 23.0 s interval, what are the (a) magnitude and (b) direction of the displacement, the (c) magnitude and (d) direction of the average velocity, and the (e) magnitude and (f) direction of the average acceleration? (Give all directions as positive angles relative to due east, where positive is measured going counterclockwise.)

A car is traveling at 26 m/s when the driver spots a large pothole in the road a distance 34 m ahead. She immediately applies her brakes. If her…

A car is traveling at 26 m/s when the driver spots a large pothole in the road a distance 34 m ahead. She immediately applies her brakes. If her acceleration is -7.5 m/s2, does she manage to stop before reaching the pothole?

Below, is the full question, however I am having trouble with the quot;close_novas.sample.

Below, is the full question, however I am having trouble with the “close_novas.sample…” section of bootstrap_ages, please help.

Question 9 It’s time to bootstrap so that we can quantify the variability in our estimate! Simulate 1000 resamples from close_novas. For each resample, compute the slope of the least-squares regression line, and multiply it by 1 million to compute an estimate of the age of the universe. Store these ages in an array called bootstrap_ages, and then use them to compute a 95% confidence interval for the age of the universe.

bootstrap_ages = make_array()

for i in np.arange(1000):

  bootstrap_ages = np.append(bootstrap_ages, 1e6*fit_line(close_novas.sample

lower_end = percentile(2.5, bootstrap_ages) 

upper_end = percentile(97.5, bootstrap_ages)

Table().with_column(“Age estimate”, bootstrap_ages*1e-9).hist(bins=np.arange(12, 16, .1), unit= “billion years”)

print(“95% confidence interval for the age of the universe: [{:g}, {:g}] billion years”.format(lower_end*1e-9, upper_end*1e-9)

Can you please help me find scholarly articles concerning the following questions: what are the major elements and dimensions of culture in Japan?

Can you please help me find scholarly articles concerning the following questions:

  1. what are the major elements and dimensions of culture in Japan?
  2. how are these elements and dimensions integrated by locals conducting business in Japan?
  3. how do both of the above items compare with US culture and business?
  4. what are the implications for US businesses that wish to conduct business with Japan?

The recessive allele s causes Drosophila to have small wings and the s + allele causes normal wings. This gene is known to be X-linked.

The recessive allele s causes Drosophila to have small wings and the s + allele causes normal wings. This gene is known to be X-linked.

a. If a small-winged male is crossed with a homozygous wild-type female, what phenotypic ratio of normal to small-winged flies can be expected overall and by each sex in the F1? Show the Punnet square.

b. If F1 flies are intercrossed, what F2 progeny phenotypic ratios are expected overall and by sex Show the Punnett square.

c. What progeny phenotypic ratios overall and by sex are predicted if F1 females are backcrossed to their father? Show the Punnett square. 

Solve these problems using graphical linear programming and then answer the questions that follow. Use simultaneous equations to determine the…

  1. Solve these problems using graphical linear programming and then answer the questions that follow. Use simultaneous equations to determine the optimal values of the decision variables.

Minimize

Subject to

Potassium

Carbohydrate

Protein

T

Minimize

Subject to

D

E

F

  1. What are the optimal values of the decision variables and Z?
  2. Do any constraints have (nonzero) slack? If yes, which one(s) and how much slack does each have?
  3. Do any constraints have (nonzero) surplus? If yes, which one(s) and how much surplus does each have?
  4. Are any constraints redundant? If yes, which one(s)? Explain briefly.

Skyscrapers predate: The steam railway. The clipper ships. The Erie Canal. The horse. The automobile.

Skyscrapers predate:

           A. The steam railway.

           B. The clipper ships.

           C. The Erie Canal.

           D. The horse.

           E. The automobile.