1. The observation that the absorbance is linearly proportional to the concentration of dye is a statement of which law?

2. For this question, note that you diluted your prepared drink mix 1:10 before you obtained absorbance values, and therefore your calculated concentration of each dye is 1/10 that of the prepared drink mix. You calculated that the concentration of yellow food dye in the cuvette is 0.0141 mM.  Given that the molecular weight of the yellow 5 dye is equal to 534.36 g/mol. How many grams of yellow 5 food dye were in the 0.235 L solution of drink mix? (Remember that molarity = moles / L and that molecular weight = mass / moles). Choose the closest answer.

3. Given that the mass of the red dye in 0.5 g of prepared drink mix is equal to 0.00089 g, what percent mass does this represent? (Percent mass = (mass of dye / mass of powder ) * 100%)  

4. Given that the mass of the yellow dye in 0.5 g of prepared drink mix is equal to 0.0018 g, what percent mass does this represent? (Percent mass = (mass of dye / mass of powder ) * 100%)

5.The concentration of red food dye in the prepared drink mix can be calculated from Beer's law (absorbance = path length (1 cm) * extinction coefficient * concentration). Using the extinction coefficient for the red dye calculated in experiment 2 and the absorbance of the drink mix at 500 nm, calculate the concentration of red food dye. Choose the closest answer.

6.For this question, note that you diluted your prepared drink mix 1:10 before you obtained absorbance values, and therefore your calculated concentration of each dye is 1/10 that of the prepared drink mix. You calculated that the concentration of the red food dye in the cuvette is 0.0089 mM. Given that the molecular weight of the red 40 dye is equal to 496.42 g/mol. How many grams of red 40 food dye were in the 0.235 L solution of drink mix? (Remember that molarity = moles / L and that molecular weight = mass / moles). Choose the closest answer.

7.The concentration of yellow food dye in the prepared drink mix can be calculated from Beer's law (absorbance = path length (1 cm) * extinction coefficient * concentration). Using the extinction coefficient for the yellow dye calculated in experiment 2 and the absorbance of the drink mix at 420 nm, calculate the concentration of yellow food dye. Choose the closest answer.

8.The equation for a straight line representing the absorbance of the red dye at the peak absorbance wavelength as a function of the concentration of the red dye is y = 27320x +0. The slope of the line gives the extinction coefficient. What is the molar extinction coefficient for the red dye?

1. Usually, basic financial markets have five basic functions in a capitalistic economy:

   For each of the functions cited below, explain how financial markets perform each function in detail.

   1. They make it possible for corporations and governmental units to raise capital.

   2. They help to allocate capital toward productive uses.

   3. They provide an opportunity for people to increase their savings by investing in them.

   4. They reveal investors’ judgments about the potential earning capacity of corporations, thus

giving guidance to corporate managers. 5. They generate employment and income.

1. Usually, basic financial markets have five basic functions in a capitalistic economy:

   For each of the functions cited below, explain how financial markets perform each function in detail.

   1. They make it possible for corporations and governmental units to raise capital.

   2. They help to allocate capital toward productive uses.

   3. They provide an opportunity for people to increase their savings by investing in them.

   4. They reveal investors’ judgments about the potential earning capacity of corporations, thus

giving guidance to corporate managers. 5. They generate employment and income.

Article: Employee Surveys Administered Online: Attitudes towards the Medium, Nonresponse, and Data Representativeness. by Foster, L. and Surface, E.A (2007)

Find the following categories and explain in detail:

Introduction

Description or article objectives

Assumptions

Dependent and independent variables

Diagram of the theory

Areas of application of the theory or Methodology

Discuss an article about some research that has used the theory as a theoretical framework, you must present criticisms that have been made to the theory and / or if the theory has evolved.

explain the types of solid waste in detail and sources of solid waste,factors that affects generstion rate of sw with table and problem.50marks

Note:Its for 50 marks i need 10page answer and own answer no internet answer r else i will downvote

attempt only if you knownledge about the subject r else i il downvote and its for 50marks

NOTE:no  wrong answer .i need own answer with diagram and all r else i il downvote.

1.Your friend brings a large bag of candy to class. In the bag of candy, there are 13 red candies, 20 blue candies, 13 orange candies, 5 yellow candies, 40 green candies, and 61 purple candies.

b.Your friend is going to reach into the bag and remove one candy at a time. Before your friend starts removing candies, you want to calculate the probability of selecting candies, in a specific order?

(each time a candy is removed from the bag, the total number of candies decreases)

P (red, purple, & green) =

P (red, blue, purple, & green) =

P (purple, yellow, red, orange, & purple) =

P (yellow, yellow, purple, purple, red, & red) =

P (red, red, green, purple, yellow, red, orange, yellow, & red) =

2.Calculate the standard deviation of the following sample:

12, 14, 15, 23, 22, 26, 28, 19, 17, 18, 25, 28, 29, 19, 12, 19, 22, 19, 23, 24, 19, 25, 19

Standard deviation=

3.One day, you are playing around with the change in your pocket. You decide to flip one coin and then you decide to flip two coins. Remember, a coin can land on either heads or tails and each coin flip is independent. Calculate the following probabilities:

One Coin Flip Probabilities:

P (heads) =

P (tails) =

Two Coin Flips Probabilities:

P (of at least one heads) =

P (of at least one tails) =

P (heads and heads) =

P (heads and tails) =

P (tails and tails) =

P (tails and heads) =

1. Assume we have a small jar full of 140 perfectly shaped jelly beans. Fifty of the jelly beans are red, 45 of the jelly beans are green, and 35 of the jelly beans are purple and 20 are black. If you randomly select one jelly bean, then …

1. What is the probability the jelly bean is red?
2. What is the probability the jelly bean is black?
3. What is the probability the jelly bean is green?
4. What is the probability the jelly bean is purple?
5. What is the probability you do not select a red jelly bean?
6. What is the probability the jelly bean is red or green?
7. What is the probability you do not select a red or green jelly bean?
8. Assume you pick a red jelly bean. Rather than put the jelly bean back in the jar, you eat it! You then randomly select another jelly bean from the jar.

1. What’s the probability that the jelly bean you select this time is red?
2. What’s the probability that the jelly bean you select this time is green?

3. What’s the probability that this jelly bean is not green?

Use the class definition below to answer the following questions. [Total 8 Marks]

public class TrafficLight {

String stopLight = "red";

String waitLight;

String goLight;

public void setStopLight(String colour) {

stopLight = colour; }

public String getGreenLight() {

return goLight; } }

1 :How many field attributes are there in the TrafficLight class?

2 :Name a field attribute for this class.

3 :What is the name of the method that is an accessor?

4 :What is the name of the method that is a mutator?

5 :What is the output type for the setStopLight method ?

6 :Write a Constructor for the TrafficLight class that sets stopLight value to “red”, waitLight to “yellow” and goLight to “green”?

Parametric vs. Nonparametric Methods

The purpose of this assignment is to differentiate between parametric and nonparametric statistical methods. In addition, this assignment will help you understand and implement parametric or nonparametric statistical methods.

Research the following statistical topics:

• Levels of measurement
• Parametric and nonparametric methods

On the basis of your research and understanding, respond to the following:

• Find and state the definition of levels of measurement that distinguishes the five types of data used in statistical analysis.
• In your own words, compare the five types of data and explain how they differ.
• Find and state a definition of parametric and nonparametric methods that distinguishes between the two.
• In your own words, explain the difference between parametric and nonparametric methods.
• Explain which types of data require parametric statistics to be used and which types of data require nonparametric statistics to be used and why.
• Compare the advantages and disadvantages of using parametric and nonparametric statistics.
• Describe how the level of measurement helps determine which of these methods to use on the data being analyzed.