4. If you burn 2.3 grams of a compound off the top of crème brulee, and it has carbon, oxygen, and hydrogen, would you be able to determine the empirical formula if you collected 2.7 grams water, and 4.4 grams carbon dioxide, and if yes, what is the empirical formula of the compound?

5. Which of the following has more atoms? 5.0 grams F2 or 8.0 grams S?

6. When you burn gasoline, a few different reactions can happen. One is C8H18(l) + O2(g)  H2O(l) + CO2(g) If you react 5.0 kg gasoline with 1.0 kg oxygen, how much water could you form?

7. Balance, identify the oxidizing agent and the reducing agent in the following reaction by assigning oxidation numbers, and give the phase (s, l, g, aq) of each reactant and product. H2O + Zn + HCl(aq)  H2 + H2O + ZnCl2

8. How many liters of 0.500 M H3PO4 would it take to react with 8.00 L of 0.100 M NaOH?

9. If you want to dilute some salt water solution from 3.0 M NaCl to 0.20 M NaCl and have 9.0 L after dilution, what would you need for starting volume?

4. If you burn 2.3 grams of a compound off the top of crème brulee, and it has carbon, oxygen, and hydrogen, would you be able to determine the empirical formula if you collected 2.7 grams water, and 4.4 grams carbon dioxide, and if yes, what is the empirical formula of the compound?

5. Which of the following has more atoms? 5.0 grams F2 or 8.0 grams S?

6. When you burn gasoline, a few different reactions can happen. One is C8H18(l) + O2(g)  H2O(l) + CO2(g) If you react 5.0 kg gasoline with 1.0 kg oxygen, how much water could you form?

7. Balance, identify the oxidizing agent and the reducing agent in the following reaction by assigning oxidation numbers, and give the phase (s, l, g, aq) of each reactant and product. H2O + Zn + HCl(aq)  H2 + H2O + ZnCl2

8. How many liters of 0.500 M H3PO4 would it take to react with 8.00 L of 0.100 M NaOH?

9. If you want to dilute some salt water solution from 3.0 M NaCl to 0.20 M NaCl and have 9.0 L after dilution, what would you need for starting volume?

You have 3 dice. Dice A is a fair dice while Dice B and Dice C are not fair. The odd outcomes of Dice B are twice as likely as the even outcomes while the even outcomes of Dice C are twice as likely as the odd outcomes. Each dice is thrown 5,000 times independently and you will use Excel to simulate this experiment.

1. Plot the histograms of the outcome from each dice and also the sum of the outcomes from the 3 dice. Comment on the shape of the histograms. Briefly comment on the histograms for the 3 dice individually - whether they are consistent with the theoretical results. For the sum of the outcomes from 3 dice (sum = 3,4,5,...,18), describe the distribution of the sum.
2. Obtain the (empirical) probability distribution of the outcomes of the three dice in the form of a table. You can use Excel to construct this table.
3. A member in your group repeats this experiment using three fair dice. He concludes that the result in 1.2 is identical to the experiment using Dice A, B and C. Do you agree with him? Give reasons as why. You can either obtain the theoretical values of the probabilities or empirical probabilities (recommended) of the outcomes from throwing the 3 fair dice 5000 times. Then compare the probability distributions to see whether they look like each other.

Based on the EViews result in Table 1, answer the following questions.

Table 1: Estimated Regression Result

Dependent Variable: LGDP

Method: Least Squares

Sample: 2000Q1 2012Q4

Included observations: 52

Variable Coefficient Std. Error t-Statistic Prob.

LM2 0.796910 0.032383 24.60868 0.0000

LREER -0.060125 0.065220 -0.921892 0.3613

LSDR 0.051745 0.074618 0.693465 0.4914

LTBR 0.029174 0.007715 3.781436 0.0004

C 2.795406 0.427355 6.541183 0.0000

R-squared 0.986591 Mean dependent var 13.28409

Adjusted R-squared 0.985450 S.D. dependent var 0.429315

S.E. of regression 0.051786 Akaike info criterion -2.992187

Sum squared resid 0.126044 Schwarz criterion -2.804568

Log likelihood 82.79686 Hannan-Quinn criter. -2.920258

F-statistic 864.5234 Durbin-Watson stat 0.777639

Prob(F-statistic) 0.000000

a. Write down the estimated result. [5 marks]

b. Examine the parameters of interest from the perspective of: (hint: used p-value)

[25 marks]

c. What is your conclusion about the relationship between parameter of interests

based on the empirical results? [4 marks]

d. Based on the empirical results in Table 1, what are the possible diagnostic

problems that you observe?

Consider the following table of data that was generated from randomly surveying 100 people and recording how much change (from coins) was in their pockets:

1. Construct a histogram of the empirical data. Use ten "bins".Hint: It may be helpful to construct ten "bins" over the interval [0,4]

2. Construct a histogram of the empirical data. Use 20 bins.

3. Describe the shape of each graph.

Marko Inc. provides the following information related to its post-retirement health care benefits for the year 2018 (amounts in thousands of Canadian dollars): Defined post-retirement benefit obligation at January 1, 2018 - $100,000 Plan assets, January 1, 2018 - 40,000 Actual return on plan assets, 2018 - 3,000 Discount rate- 10% Service cost,2018 - 57,000

Plan funding during 2018 - 22,000

Payments from plan to retirees during 2018 - 6,000 Actuarial loss on defined post-retirement benefit obligation, 2018 (end of year)- 31,000

Marko Inc. follows IFRS.

REQUIRED:

(a) Calculate the post-retirement benefit expense for 2018. (b) Calculate the post-retirement benefit remeasurement gain or loss- other comprehensive income (OCI) for 2018. (c) Determine the December 31, 2018 balance of the plan assets, the defined post-retirement benefit obligation, and the plan surplus or deficit. (d) Determine the balance of the net post-retirement benefit liability/asset account on the December 31, 2018 statement of financial position. (e) Reconcile the plan surplus or deficit with the amount reported on the statement of financial position at December 31, 2018.

On January 1, 2018, Star Inc. began construction of a new warehouse for its own use. The warehouse was completed in 2019. Expenditures on the project in 2018 were as follows:

            January 1, 2018           $310,000

            March 31, 2018           $600,000

            September 1, 2018      $720,000

Star borrowed $600,000 on a construction loan at 6% interest rate on January 1, 2018. The loan was outstanding throughout the construction period. During 2018, the company had $300,000 in 4% bonds and $700,000 in 8% notes outstanding. Star’s capitalized interest in 2018 using the specific interest method was:

A. $60,000.

B. $63,200.

C. $68,000.

D. $104,000.

1. The ability to taste the chemical, phenylthiocarbamide (PTC), is determined by a gene on chromosome 7 that shows dominant inheritance. PTC-like chemicals are found in vegetables like broccoli and cabbage. Tasters don’t enjoy eating these types of vegetables while non-tasters don’t notice this bitter taste in these vegetables. (T= ability to taste PTC; t= non-taster) Determine the probability that the following couples (a, b, and c) will have a non-taster child. Support your answer with a Punnett square.
2. 1. Two tasters, who are both heterozygous:
3. 2. A non-taster marries a taster who is homozygous:
   3. Two non-tasters:
   4. Can a non-taster have 2 biological parents that are both tasters?

(2) Companies like Symantec, McAffee, Trend Micro, Kaspersky, etc. provide enterprise-level malware protection. Choose a major anti-virus company and familiarize yourself with their product line. Using what you learned from your research create an executive presentation of 8-12 PowerPoint slides on the product and on how you would install an enterprise malware solution on a hypothetical network with 50 Windows servers and 2000 Windows 7 computers. Provide sufficient detail about hardware devices and software and where they would be installed. Create a high-level diagram to accompany your proposal that shows the layout of your software. It is not necessary to diagram your complete network, just a high level representation of it. For example, you could represent the 2000 Windows 7 computers with one Icon labeled Windows 7 Workstations (2000). However, if you include a security appliance that provides malware protection, it should be included as a separate icon. Also, indicate location of software components (clients, servers, databases, management tools, etc) on your diagram, as well.