(300+ words please):

It is widely believed that testosterone levels play a significant role in how violent a person may be. Because of this, boys and girls are socialized in different manners. Different cultures have dissimilar views on violence and how it is tolerated in their societies. What other factors (e.g., exposure to violence as a child) influence the amount of violence that is seen in society? Research and provide support for your views.

Consider the TV shows you watched as kids. What was the gender of the characters? What did each character do? What role did the characters have in the show? Were there more male or female characters? How prominent are female roles? Are female characters positive or negative? Are there differences among the various types of shows you watched? What messages do these shows send to girls and to boys?

A physical fitness association is including the mile run units secondary-school fitness test. The time for this event for boys in secondary school is known to possess a normal distribution with a mean of 475 seconds and a standard deviation of 65 seconds. Find the probability that a randomly selected boy in secondary school will take longer than 354 seconds to run the mile.

The Titanic Used the data in the following table, which summarizes results from the sinking of the titanic.

1. If one of the Titanic passengers is randomly selected, find the probability of getting someone who is a women or survivor.
2. If one of the Titanic passengers is randomly selected, find the probability of getting a man and someone who survived the sinking.
3. If one of the Titanic passengers is randomly selected, find the probability of getting a boy or girl?
4. If one of the Titanic passengers is randomly selected, find the probability of getting a man, given that the selected person died.
5. If Three of the Titanic passengers is randomly selected, find the probability of all three are boys?

Use student-t to derive the following paired test
set.seed(20)
girls_height<- rnorm(50, mean = 160, sd = 30)
boys_height<- rnorm(50, mean = 172, sd = 30)

#-------------------------------------------------------------
State the hypothesis for the paired-test of the mean of
# girls' height and boys' height.

Check the three assumptions before running the student t test
# for the samples. You need to write and run the code, and
# report the results.

For which of the following research questions could you test using a dependent samples t-test? Group of answer choices Do student athletes and non student athletes differ on levels of self-esteem? Is there a difference in verbal problem solving skills between science majors and art majors? Is pain tolerance different with acupuncture versus without acupuncture needles? Do boys and girls differ on mathematical abilities?

Different measures of disease are useful to evaluate and assess public health programs and needs in different situations. For each of the following questions, state which measure would best support your goal. (1 point each) Measures of disease:

I = incidence rate

P = prevalence

R = sex ratio (counts)

- Show increase of new cases of car-train crashes at a railroad crossing without warning signal.

- Show existing cases of children with asthma due to exposure to secondhand cigarette smoke.

- Show endemic rates of leukemia in towns near industries along the Mississippi River

- Compare number of boys and girls who experience near-death from drowning in a city.

Using the demographic information in the table below, consider the following scenario: A teacher chooses a student to dim the lights and a student to shut the door. In how many ways can the teacher do this if a student may do both jobs and:

a. Both are girls?

b. One is a boy and one is a girl?

c. At least one is a boy?

d. The door closer is a boy?

e. Neither are seniors?

f. Neither are education majors?

A couple wants to have 2 boys and 2 girls. They will continue to have children until they have reached the goal.
 Assuming that the probability that they have 54% chance to have a boy and 46% chance to have a girl in every pregnancy. No twin or more are possible. 
Assuming that their goal is possible and has been fulfilled today!

Create at least four hypotheses based on the data file provided!

1) Use a different test for each hypothesis.

2) Construct the hypothesis statements and their statistic forms (H0 and H1).