Consider whether each of the following practices is appropriate or inappropriate for the age level, according to the principles of Piaget and contemporary researchers following in his tradition. Question 1 A high school science teacher asks students in a chemistry lab to answer thequestion “Does water boil faster when more heat is applied?” He gives them the equipment theyneed and shows them how to use it safely, and he monitors their procedures to make sure theyare following his safety guidelines. The students are able to conduct their investigations fairlyindependently, but seem to benefit from the teacher’s occasional guidance about how they mightmodify their procedures for clear-cut results. Appropriate Not Appropriate As she sits in her high chair, 6-month-old Deena keeps throwing the toys her father places on her tray, despite her father’s pleas that she stop. Exasperated, the father scolds Deena and puts her in her crib—where there are no toys at all—to show Deena that toys are not meant to be thrown. Appropriate Not Appropriate When a third-grade class takes a field trip to Rocky Mountain National Park, a park ranger gives a short lecture explaining how the Rocky Mountains were formed by forces pushing upward from within the earth. Not Appropriate Appropriate Question 7 After reading a children’s book that describes Columbus’s voyage to the New World in 1492, a first-grade teacher asks students to consider what might have happened if Columbus had never made the trip. Appropriate Not Appropriate

In some states, the use of marijuana is now legal, so a majority of the citizens evidently regard it as morally acceptable. In other states, however, the use of marijuana is illegal, so a majority of the citizens in those states evidently regard it as morally unacceptable. Furthermore, given that most states at this time disapprove marijuana use, a majority of citizens in the country as a whole likely regard it as morally unacceptable. The dilemma for those who say that moral questions are decided by the majority is that in this case, there are a number of majorities, and they disagree with one another.

Make a decision regarding this dilemma based on what you learned in this chapter.

In some states, the use of marijuana is now legal, so a majority of the citizens evidently regard it as morally acceptable. In other states, however, the use of marijuana is illegal, so a majority of the citizens in those states evidently regard it as morally unacceptable. Furthermore, given that most states at this time disapprove marijuana use, a majority of citizens in the country as a whole likely regard it as morally unacceptable. The dilemma for those who say that moral questions are decided by the majority is that in this case, there are a number of majorities, and they disagree with one another.

Make a decision regarding this dilemma , discuss whether you agree or not

The ground state for a quantum Hall system on a torus with fractional filling factor can be classified by the Chern number, which is why the Hall conductance is quantized. Is there another method or classification one can use to distinguish states?

A more clear version of this question: Different quantum Hall states can be characterized by their different Hall conductances. Is there other characterizations that one can use to distinguish different quantum Hall states?

I propose to change the title of this question to "Is there a method for differentiating fractional quantum Hall states aside from measuring the Hall conductance?"

2. In some states, the use of marijuana is now legal, so a majority of the citizens evidently regard it as morally acceptable. In other states, however, the use of marijuana is illegal, so a majority of the citizens in those states evidently regard it as morally unacceptable. Furthermore, given that most states at this time disapprove of marijuana use, a majority of citizens in the country as whole likely regard it as morally unacceptable. The dilemma for those who say that moral questions are decided by the majority is that in this case, there are a number of majorities, and they disagree with one another. Make a decision regarding this dilemma. discuss if it is ethical or not.

For the qualitative data, choose one of the outcomes and find the sample proportion satisfying that outcome. Now construct a 95% Confidence Interval of the Population Proportion of people satisfying that outcome.

Data Description: So there were 49 states counted for and of that 49 there were 3 states where the male population was greater than the females and there were 36 states where the female population was greater than the males and lastly there were 10 states where both populations were equal.

Beer: The following table presents the number of active breweries for samples of states located east and west of the Mississippi River.

a) Find the mean and median number of breweries for states east of the Mississippi. Round the answers to at least one decimal place.

(b) Find the mean and median number of breweries for states west of the Mississippi. Round the answers to at least one decimal place.

(c) The sample of western states happens to include California. Remove California from the sample of western states, and compute the mean and median for the remaining western states. Round the answers to at least one decimal place.

Is there a linear relationship between the obesity rates and infant mortality for countries in the Global Health Summary data set? Investigate the relationship between obesity rates and infant mortality by using StatCrunch and complete the parts below.

1. Use the Simple Linear Regression feature in StatCrunch to construct the regression model and scatterplot to compare the obesity rate (x-variable) to the infant deaths per 1000 (y-variable). Insert the results in the space below. (TIP: You need to insert both the linear regression information and the scatterplot.)

<insert graphic here>

2. Report the correlation coefficient (r) and write the equation for the linear relationship as ____Locate the critical value for correlation coefficients with a sample size of thirty or higher. (If necessary, round your answers to the nearest hundredth.)

3. Determine if there is a valid linear relationship between obesity rates and infant mortality rates. To receive full credit, your answer should make use of the correlation coefficient and the critical value. If there is a linear relationship, describe how the two variables are related.

4. Would it be appropriate to conclude a cause-and-effect relationship between obesity rates and infant mortality rates? Explain why or why not.

5. Identify at least one confounding or lurking variable and describe how it may be related to obesity rates and infant mortality rates. (Tip: You will need to think beyond the data set for this question.)

Is there a linear relationship between the obesity rates and infant mortality for countries in the Global Health Summary data set? Investigate the relationship between obesity rates and infant mortality by using StatCrunch and complete the parts below.

1. Use the Simple Linear Regression feature in StatCrunch to construct the regression model and scatterplot to compare the obesity rate (x-variable) to the infant deaths per 1000 (y-variable). Insert the results in the space below. (TIP: You need to insert both the linear regression information and the scatterplot.)

<insert graphic here>

2. Report the correlation coefficient (r) and write the equation for the linear relationship as ____Locate the critical value for correlation coefficients with a sample size of thirty or higher. (If necessary, round your answers to the nearest hundredth.)

3. Determine if there is a valid linear relationship between obesity rates and infant mortality rates. To receive full credit, your answer should make use of the correlation coefficient and the critical value. If there is a linear relationship, describe how the two variables are related.

4. Would it be appropriate to conclude a cause-and-effect relationship between obesity rates and infant mortality rates? Explain why or why not.

5. Identify at least one confounding or lurking variable and describe how it may be related to obesity rates and infant mortality rates. (Tip: You will need to think beyond the data set for this question.)