An inorganic soil has a liquid limit of 35 and a plastic limit of 31. The following are also known:
Percent passing No. 4 sieve: 80
Percent passing No. 200 sieve: 10
D10 = 0.075 mm ; D30 = 0.37 mm ; D60 = 1.6 mm
Classify the soil using USCS. Give both the group symbol and group name.

Write a C program which adds up all the numbers between 1 and 50. Use any type of loop

Write a JavaScript program to implement the Least-Squares Linear Regression algorithm shown below, for an arbitrary set of ( x, y ) data points entered by the user.

Least-Squares Linear Regression: • Linear regression basically means finding the ( equation for the ) straight line that is the closest “fit” to a set of ( x, y ) data points.

• Least-squares is a means of identifying the “best” fit between the line and the data. For each data point, the distance between the point and the line is calculated and squared, and the total of these squared distances is added up over all the data points. The straight line that yields the minimum value for this sum of squares is defined as the best fit.

• calculate the correlation coefficient, r, which is a metric for how well the line fits the data, and if the correlation is positive or negative. This value always lies between -1.0 and 1.0 inclusive. The closer it is to 1.0, the stronger the positive correlation; The closer to -1.0 the stronger the negative correlation; and if the coefficient is close to zero, then it shows a weak correlation ( if any ) between x and y.

The Algorithm: 1. Read in a series of ( x, y ) data pairs. While doing so, calculate the following sums:

• N = number of data pairs.

• Sx = ∑ x = Summation ( total ) of all X values.

• Sy = ∑ y = Summation ( total ) of all Y values.

• Sxx = ∑ x2 = Summation ( total ) of all X2 values.

• Syy = ∑ y2 = Summation ( total ) of all Y2 values.

• Sxy = ∑ xy = Summation ( total ) of all X∙Y values.

2. Then calculate: • Slope, m = ( N ∙ Sxy – Sx ∙ Sy ) / ( N ∙ Sxx – Sx ∙ Sx ) • Intercept, b = ( Sy – m ∙ Sx ) / N

3. Report the best-fit line as y = m x + b

4. Finally calculate and report the correlation coefficient, r, as:

• ? = ? ∙ ???−?? ∙ ?? /√( ? ∙ ???−?? ∙ ?? ) ∙ ( ? ∙ ???−?? ∙ ?? )

Discuss different steps and approaches involved in estimating time? Please explain in brief the different steps involved in the Critical Path Model as part of Project Scheduling.

Please give answer in more than 400 words and prefer to paste from word or excel or type as plain text.

Matthew, Inc. owns 30 percent of the outstanding stock of Lindman Company and has the ability to significantly influence the investee’s operations and decision making. On January 1, 2018, the balance in the Investment in Lindman account is $419,000. Amortization associated with this acquisition is $15,600 per year. In 2018, Lindman earns an income of $135,000 and declares cash dividends of $45,000. Previously, in 2017, Lindman had sold inventory costing $30,400 to Matthew for $38,000. Matthew consumed all but 25 percent of this merchandise during 2017 and used the rest during 2018. Lindman sold additional inventory costing $41,800 to Matthew for $55,000 in 2018. Matthew did not consume 40 percent of these 2018 purchases from Lindman until 2019.

1. What amount of equity method income would Matthew recognize in 2018 from its ownership interest in Lindman?

2. What is the equity method balance in the Investment in Lindman account at the end of 2018?

Would you expect the ligand substitution reactions of transition metal ions to be faster or slower than those of lanthanide ions and the pre-transition metal ions? Explain why.

For the following reaction KClO3---->KCl+1/2 O2 assign oxidation states to each element on each side of the equation...reactants and products. Which element is oxidized? Which element is reduced? Reactants for K, Cl, and O please. Cl is not 5 to -1. i know the rest just need to know it for Cl

2.1. The following data are an i.i.d. sample from a Cauchy(θ, 1) distribution: 1.77, -0.23, 2.76, 3.80, 3.47, 56.75, -1.34, 4.24, -2.44, 3.29, 3.71, -2.40, 4.53, -0.07, -1.05, -13.87, -2.53, -1.75, 0.27, 43.21.
a. Graph the log likelihood function. Find the MLE for θ using the Newton–Raphson method. Try all of the following starting points: -11, -1, 0, 1.5, 4, 4.7, 7, 8, and 38. Discuss your results. Is the mean of the data a good starting point?
Please submit the code in R, thanks.

Describe how a temperate/lysogenic phage can contribute to disease, and give one example

Given that the vapor pressure of water is 17.54 Torr at 20 degrees celcius, calculate the vapor pressure lowering of aqueous solutions that are 1.70 m in (a) sucrose C12H22O11 and (b) Aluminum Chloride. Assume 100% dissosiation for electrolytes.

two duopoly markets with a homogeneous good have a demand function of P= 100 - Q. Their costs are TC1=50q1 and TC2= 40q2. The two firms collude. What are the producer surplus, consumer surplus and profit?

The ΔHvap of a certain compound is 22.01 kJ·mol–1 and its ΔSvap is 54.70 J·mol–1·K–1. What is the boiling point of this compound?

1. The following data summarize the expenditures for the country of XYZ during 2015 in millions of alphabet, the currency of country XYZ. (5 point) Gross Private Domestic Investment $300 Business Fixed Investment $200 Change in Inventories $100 Exports $200 Imports $300 Personal Consumption Expenditures $900 Government Consumption Expenditures and $500 Statistical Discrepancy $20 Depreciation Expenditures $60

a. Calculate net exports

b. Calculate GDP

c. Calculate national income

d. Assume that the GDP deflator is 120 and calculate real GDP for 2015.

What's the AST(Abstract Syntax Tree) for the expression a+b*c-4 according to the following grammar, and what’s left most derivation of this expression?

expression → expression ‘+’ term | expression ‘-’ term | term

term → term ‘*’ factor | term ‘/’ factor | factor

factor → identifier | constant | ‘(‘ expression ‘)’