Match each situation with the correct statistical technique.

Group of answer choices:

1. Histogram
2. Wilcoxon Rank Sum           
3. Chi-square test           
4. Two sample t test            
5. Median (Q1, Q3)           
6. Count (%)           
7. Bar Graph           
8. ANOVA            
9. Kruskal Wallis Test           
10. Fisher's Exact Test       

1. Outcome is continuous, predictor has two categories. Only have 20 observations.
2. Descriptive Statistics for a Categorical Variable
3. Both variables are categorical. Only have 20 observations.
4. Outcome is continuous, predictor has two categories. Have 500 observations.
5. Descriptive Statistics for a Continuous Variable
6. Outcome is continuous, predictor is categorical (3 or more categories). Variance in each category is relatively similar.
7. Both variables are categorical. Have 1000 observations.
8. Outcome is continuous, predictor is categorical (3 or more categories). Variance in each category is vastly different.
9. Visual display for a continuous variable     
10. Visual display for a categorical variable

You have been asked for your advice in selecting a portfolio of assets and have been given the following data:

Expected return

Year Asset A Asset B Assets C 2016 12% 16% 12% 2017 14 14 14 2018 16 12 16

You have been told that you can create two portfolios, one consisting of assets A and B and other consisting of assets A and C, by investing equal proportions (50%) in each of the two component assets.

(a) What is the expected return for each asset over the 3 year period?

(b) What is the standard deviation for each asset’s return?

(c) What is the expected return for each of the two portfolios?

(d) How would you characterize the correlations of returns of the two assets making up each of the two portfolios identified in part c?

(e) What is the standard deviation for each portfolio?

(f) Which portfolio do you recommend? Why?

1.(1.5 pts) What three principles came out of Gregor Mendel’s work?

2.(1 pt) Thomas Hunt Morgan discovered the concept of ­­­­­­­­­­­­________________ inheritance during his studies with fruit flies.

3.(1 pt) The genetic make-up of an individual constitutes their__________________.

4.(1 pt) The physical appearance of an individual constitutes their__________________.

5.(1 pt) Variants of a particular gene are called___________________.

6.(1 pt) If an individual has two copies of the same allele, they are _____________ for that gene, if they have two different alleles, they are ___________ for that gene.

7.(0.5 pt) If only one copy of a dominant allele is present, it will be phenotypically expressed: True or False

8. (0.5 pt) Traits can be both physical and behavioral: True or False

9. (0.5 pt) Independent assortment addresses the segregation of alleles found on _________ chromosome(s).

The same or Different

10.(1 pt) What is the name of the statistical test we will carry out to determine if the results of each cross studied is equivalent to the predicted values or statistically different?

For this week’s lab assignment, you will write a program called lab9.c. You will write a program so that it contains two functions, one for each conversion. The program will work the same way and will produce the same exact output. The two prototypes should be the following: int btod(int size, char inputBin[size]); int dtob(int inputDec); The algorithm for the main() function should be the following: 1. Declare needed variables

2. Prompt user to enter a binary number

3. Use scanf() to get that value

4. If getting it as a string, use strlen() to find the length of the string

5. Call btod() function sending to it the size and the value that was entered by the user and save the return value so the result can be printed out

6. Prompt user to enter a decimal number

7. Use scanf() to get that value

8. Call dtob() function saving the return value in a variable so the result can be printed out

Don’t forget to break the program into smaller steps and compile and run AFTER EACH STEP.

7) If a monopoly charges higher prices to consumers who buy smaller quantities than to consumers who buy larger quantities, then
A) consumer surplus is larger than under single-price monopoly.
B) social welfare is larger than under perfect competition.
C) the monopoly's profits are larger than under single-price monopoly.
D) the monopoly's profits are larger than under perfect price discrimination.

8) Regardless of market structure, all firms
A) consider the actions of rivals.
B) maximize profit by setting marginal revenue equal to marginal cost.
C) produce a differentiated product.
D) have the ability to set price.

9) Two firms sell 100% orange juice in 10-ounce bottles. The juice is only good for one week. The two firms have contracts for all the oranges produced in a large geographic area. Each firm decides how many bottles of juice to produce at the same time. This market is best described with a
A) Bertrand model.
B) Stackelberg model.
C) monopolistic competition model.
D) Cournot model.

If two rival firms’ products are on the indifference line of the cost benefit tradeoff, then explain what does this mean. (50 words) Indicate on your value map where would a successful product that is offering superior value be placed? (Use a clearly marked cross) Give two possible reasons that explain the position on the value map for this successful product. (about 50 words)

Refer to the gasoline sales time series data in the given table.

1. Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places.
   

   Week	Sales	4-Week Moving Average	5-Week Moving Average
   1	17
   2	21
   3	19
   4	24
   5	19
   6	15
   7	21
   8	19
   9	23
   10	19
   11	15
   12	22

2. Compute the MSE for the four-week and five-week moving average forecasts. Round your intermediate calculations and final answers to two decimal places.
   
   MSE for four-week moving average =  
   
   MSE for five-week moving average =
3. What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? Recall that MSE for the three-week moving average is 14.34.
   
   

Refer to the gasoline sales time series data in the given table.

1. Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places.
   

   Week	Sales	4-Week Moving Average	5-Week Moving Average
   1	18
   2	22
   3	18
   4	24
   5	19
   6	16
   7	21
   8	19
   9	22
   10	19
   11	16
   12	23

2. Compute the MSE for the four-week and five-week moving average forecasts. Round your intermediate calculations and final answers to two decimal places.
   
   MSE for four-week moving average =
   
   MSE for five-week moving average =
   
3. What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? Recall that MSE for the three-week moving average is 10.42.