(1) On January 1, 2018, Panorama Company acquired 80% of Scann Corporation for $6,400,000.

At the time of the acquisition, the book value of Scann's assets and liabilities was equal to the fair value except for equipment that was undervalued $80,000 with a four-year remaining useful life and inventories that were undervalued $20,000 and sold in 2018. Panorama separate net income in 2018 and 2019 was $1,100,000 and $1,150,000, respectively. Scann separate net income in 2018 and 2019 was $300,000 and $360,000, respectively. Dividend payments by Scann in 2018 and 2019 were $60,000 and $60,000, respectively

Required: Using equity method,

1. Calculate Investment in Scann shown on Panorama's ledger at December 31, 2018 and 2019.
2. Calculate Investment in Scann shown on the consolidated statements at December 31, 2018 and 2019.
3. Calculate consolidated net income for 2018 and 2019.
4. Calculate Noncontrolling interest balance on Panorama's ledger at December 31, 2018 and 2019.
5. Calculate Noncontrolling interest balance on the consolidated statements at December 31, 2018 and 2019.

(Support your answer in all points with detailed calculations and explanation)        

Part 1: Random Data, Statistics, and the Empirical Rule **Data Set Below**

Methods: Use Excel (or similar software) to create the tables and graph. Then copy the items and paste them into a Word document. The tables should be formatted vertically, have borders, and be given the labels and titles stated in the assignment. The proper symbols should be used. Do not submit this assignment as an Excel file. The completed assignment should be a Word (or .pdf) document.

1. The data values and relevant information are posted in the course website. Use the data set (P, Q, R, S, or T) assigned to you by your instructor to complete this application.

For the purpose of this application, treat the data set as if it represented a certain random variable and was a valid random sample gathered by a researcher from a normally distributed population. The sample data was actually found with an online Gaussian random number generator that creates normally distributed data values. The random number generator simulates the results of a researcher finding those values through observation or experimentation.

2. Use technology (Excel, graphing calculator, etc.) to sort the sample data values from low to high. Use Excel or similar software to put the data into a table with about 5 or 6 columns. Label this “Table 1: Sorted Set of Sample Data.”

3. Using 5 to 10 class intervals, organize the sample data as a frequency distribution in a table. The intervals of the frequency distribution should be rounded to the tenths so that they match the data. Label this “Table 2: Frequency Distribution.”

4. Use Excel (or similar software) to construct a frequency histogram to illustrate the data. Give the axes the proper titles. Label this “Graph 1: Histogram.”

5. Use Table 2, the frequency distribution, to find the midpoints of each class interval. Create a new frequency distribution with the midpoints in the left column and the frequencies in the right column. Label this “Table 3: Frequency Distribution with Midpoints.”

6. Use technology to find the mean, median, standard deviation, and variance of the sample data organized in Table 3 (from step 5 above). Put these values into a table with the proper symbol in the left column and the value of the statistic in the right column. Also, from the original data set, put the values of the range and sample size in the table. The median and range do not generally have symbols so the terms “Median” and “Range” can be used in the left column. Identify the modal class (the one with the highest frequency). Put the terms “Modal Class” in the left column and the class interval in the right column. The statistics should be rounded properly (one more decimal place than the data). Label this “Table 4: Summary Statistics”
7. Use the sample mean and standard deviation to find the values related to the Empirical Rule.

         The Empirical Rule: For a set of data whose distribution is approximately normal,

• about 68% of the data are within one standard deviation of the mean.
• about 95% of the data are within two standard deviations of the mean.
• about 99.7% of the data are within three standard deviations of the mean.

Use the value of n and the percents listed above to find how many data values should be within each category. Then use the sample mean and standard deviation to find the lower and upper cut-off values in each category. Then use the sorted list of data to determine how many values are actually in each category. Put the values into a table as shown in the example and label it “Table 5: The Empirical Rule.”

Assume the average age of an MBA student is 34.9 years old with a standard deviation of 2.5 years. ​a) Determine the coefficient of variation. ​b) Calculate the​ z-score for an MBA student who is 29 years old. ​c) Using the empirical​ rule, determine the range of ages that will include 99.7​% of the students around the mean. ​d) Using​ Chebyshev's Theorem, determine the range of ages that will include at least 91​% of the students around the mean. ​e) Using​ Chebyshev's Theorem, determine the range of ages that will include at least 87​% of the students around the mean.

1. Female labor force participation (LFP) tends to be markedly lower in the MENA region when compared to other world regions. Some scholars have claimed that this phenomenon can be traced to the traditional culture and/or the dominant religion (i.e., Islam) in the region. Others attribute the outcome to the presence large natural resource rents.

Some scholars have argued that rather reducing female LFP, natural resource rents may actually be associated with higher female LFP rates. What are the theoretical arguments and the empirical evidence in favor of this hypothesis?

For this project:

Create a game with at least 3 outcomes

Develop a probability table with the outcomes for X and the probability p(X)

Find the expected value and standard deviation

Determine if your game is fair

How could be changed to make it fair or favor the player or "house"?

Run the game 50 times and record each outcome

Compute the empirical probability and compare it against the theoretical probability in #2. Find the average outcome of the 50 trials, and compare against the expected value

Please help ! I am confused with this project.

Discuss Briefly:

(a) The more debt a firm issues, the higher interest rate it must pay; thus firms should operate at conservative debt levels.

(b) Given the choice between two investment projects with the same systematic risk and the same expected return, all bondholders would prefer the project with the lower variance and all stockholders would prefer the project with the higher variance.

(c) Black-Sholes is inappropriate for valuing a levered firm’s equity, the empirical evidence indicates that higher interest rates are associated with lower stock prices.

1) Suppose X1,X2,...,Xn are iid Gamma(α,λ) random variables.

a) Express the first and third moments (µ1 = E(X) and µ3 = E(X3)) as functions of λ and α.

b) Solve this system of equations to find estimators of ˆ λ and ˆ α as functions of the empirical moments. Note that the estimates must be positive.

2) Suppose that X1,X2,...,Xn are a iid Beta(a, a) random variables. That is, a beta distribution with the restriction that b = a. Using the formulae for the expectation and/or variance, find a method of moments estimator for a.

An organic compound containing C, H, O, and S is subjected to two analytical procedures. In the first procedure a 9.33 mg sample is burned which gives 19.50 mg of C02 and 3.99 mg of H20. In the second procedure, a separate 11.05 mg sample is fused (melted) with Na202 and the resulting sulfate is precipitated as BaS04, which (when washed and dried) weighs 20.4 mg. (Appropriate amounts of Na202 and a compound containing barium ion are added.) The amount of oxygen in the original sample is obtained by difference. Determine the empirical formula of this compound.

A scientist is studying a monoprotic carboxylic acid that consists of only carbon, hydrogen, and oxygen. From a titration he finds that 13.4 mL of a 0.250 M sodium hydroxide solution are required to neutralize 0.5303 grams of the carboxylic acid. From a combustion experiment he finds that 2.982 grams of the carboxylic acid yields 0.9835 grams of carbon dioxide and 4.80 grams of water.

(a).What is the molecular weight of the carboxylic acid? g/mol

(b.)What is the empirical formula of the carboxylic acid?

(c.) What is the molecular formula of the carboxylic acid?

1- Write a function f(n,a,b) that generates n random numbers
# from Uniform(a,b) distribution and returns their minimum.
# Execute the function with n=100, a=1, b=9.

2- Replicate the function call f(100,1,9) 100 thousand times
# and plot the empirical density of the minimum of 100 indep. Unif(1,9)'s

3-Use the sampling distribution from (b) to find 95% confidence
# interval for the minimum of 100 independent Unif(1,9)'s.

Please solve in R