You collect data to answer the research question, “Are high school boys involved in more automobile accidents than high school girls?” After conducting a hypothesis test, you conclude that there is sufficient evidence to reject the null hypothesis at α = 0.05. Use complete sentences to answer the following.

a. What were your null and alternative hypotheses in words?

b. State your conclusion pertaining to real-life in words.

c. If this conclusion is actually NOT correct, what type of error is this? State the correct conclusion in words.

d. What are some possible consequences of this error?

e. How might you change the alpha level to reduce this type of error? Explain.

A​ gender-selection technique is designed to increase the likelihood that a baby will be a girl. In the results of the​ gender-selection technique,961 births consisted of 501 baby girls and 460 baby boys. In analyzing these​ results, assume that boys and girls are equally likely.a.

Find the probability of getting exactly 501 girls in 961 births.

b. Find the probability of getting 501 or more girls in 961 births. If boys and girls are equally​ likely, is 501 girls in 961 births unusually​ high?

c. Which probability is relevant for trying to determine whether the technique is​ effective: the result from part​ (a) or the result from part​ (b)?

d. Based on the​ results, does it appear that the​ gender-selection technique is​ effective?

a.The probability of getting exactly 501 girls in 961 births is nothing.

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

b.The probability of getting 501 or more girls in 961 births is nothing.

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

If boys and girls are equally​ likely, is 501 girls in 961 births unusually​ high?

A.​No, because 501 girls in 961 births is not far from what is​ expected, given the probability of having a girl or a boy.

B.​No, because 501 girls in 961 births is far from what is​ expected, given the probability of having a girl or a boy.

C.​Yes, because 501 girls in 961 births is not far from what is​ expected, given the probability of having a girl or a boy.

D.​Yes, because 501 girls in 961 births is far from what is​ expected, given the probability of having a girl or a boy.

c. Which probability is relevant for trying to determine whether the technique is​ effective, the result from part​ (a) or the result from part​ (b)?

A.The result from part​ (b) is more​ relevant, because one wants the probability of a result that is at least as extreme as the one obtained.

The result from part​ (a) is more​ relevant, because one wants the probability of a result that is exactly equal to the one obtained.

C.

Neither of the results are relevant.

D.

The results from part​ (a) and part​ (b) are​ equal, so they are equally relevant.

d. Based on the​ results, does it appear that the​ gender-selection technique is​ effective?

A.

Yes​,because the probability of having 501 or more girls in 961 births i ​unlikely,and​ thus,is not attributable to random chance.

B.No​, because the probability of having 501 or more girls in 961 births is not ​unlikely,and​ thus, is attributable to random chance.

C.

Yes​, because the probability of having 501 or more girls in 961 births is not ​unlikely, and​ thus,is not attributable to random chance.

D.

No​,because the probability of having 501 or more girls in 961 births is not ​unlikely,and​ thus,is attributable to random chance.

1. What is your opinion on the toy industry's way of marketing certain toys specifically to girls and other toys specifically to boys? Do you like it, dislike it, think it’s good, think it’s bad, etc.? Explain your point of view on the issue.

2. What toys did you buy, do you buy, or do you intend to buy for the young boys and girls in your family (for example, your own children or your nieces and nephews). Is your selection of toys different for the girls versus the boys?

3. What impact do you think the gender stereotyping used in the production and marketing of toys has on the social, cognitive, and physical development of children and their future roles in society? Is it positive or negative, strong or minimal?

4. In your response, apply specific developmental concepts you learned from the readings and other materials when describing your thinking on the issue.

Next, determine the probability of getting an obscure ratio or worse. That is: (a)What is the probability of having 33% boys or less? (in 1000 births, 330 would be male) (b)What is the probability of having 41% boys or less? (in 1000 births,410 would be male) (c)What is the probability of having 1200 boys for every 1000 girls or 54.5% boys? (in 1000 births, 545 would be male)

Calculate this  

In a class of 20 boys and 12 girls we randomly select two speakers. What is the probability both speakers will be girls? And what is the probability the speakers will be of the same gender? Please, describe how you got the result

At an early stage of clinical trials of a certain method of gender​ selection, 16 couples using that method gave birth to 1 girl and 15 boys. Complete parts​ (a) through​ (e) below. a. Assuming that the method has no effect and boys and girls are equally​ likely, use the range rule of thumb to identify the limits separating values that are significantly low and those that are significantly high​ (for the number of girls in 16 ​births). Based on the​ results, is the result of 1 girl significantly low​?

Researchers in a populous country contacted more than​ 25,000 inhabitants aged 25 years to see if they had finished high​ school; 81.3 % of the 12 comma 759 males and 80.4​% of the 12 comma 873 females indicated that they had high school diplomas. ​a) What assumptions are necessary to satisfy the conditions necessary for​ inference? ​b) Create a 90​% confidence interval for the difference in graduation rates between males and​ females, p Subscript males Baseline minus p Subscript females. ​c) Interpret your confidence interval. ​d) Is there evidence that boys are more likely than girls to complete high​ school? Create a 90​% confidence interval for the difference in graduation rates between males and​ females, p Subscript males Baseline minus p Subscript females.

PSYC 2054: Worksheet 6

1. Research Study: We want to figure out what characteristics of boys are most attractive to high-school girls. High-school girls were randomly assigned three groups to hear about a guy with trendy clothes, a nice car, or a confident attitude. There were 9 girls in each group. They gave ratings on a scale from 1 to 10, with 1 being “not interested” and 10 being “very interested.”

Question: Is there a significant difference between the attractiveness ratings given by the three groups of girls?

What is the factor?

What are the levels of the factor?

Step 1: State Hypotheses

• Null:

• Research:

Step 2: Determine Comparison Distribution

• What is the distribution shape and degrees of freedom for the comparison distribution?

Step 3: Set the Criteria for a Decision

• Alpha = .05

• df_B =

df_W=

• Critical value:

• Is the rejection region placed in the upper or lower tail? How do you know?

Step 3: Compute the Test Statistic

Step 5: Make a Decision

Reject/Fail to Reject the null?

            What does this mean (be sure to talk about significance)?