In Unity with C#, I need to implement a dice simulator in my character generator(D&D). I have 6 sides of UI images(2D). With my code, I am able to roll and get the number in my console text(randomly).

But, I need help for rolling 5 dices, not the 1 dice. Also, I need to add all the three highest rolls with 5 dices and get a result in my display.

Ex) 1. Players must roll 5d6 and add the three highest rolls to compute each of the six Abilities. Note make all modifiers default to +2.

I. Answer part A,B, C and D.

1a)

Count the number of times a given char occurs in a given range of a String parameter (i.e. starting at a given start index, and up to but not including and end index). If end is greater than the length of the String, then the method should stop looking at the end of the String.

countCharsInRange("java", "v", 1, 2) → 0
countCharsInRange("java", "v", 0, 2) → 0
countCharsInRange("java", "v", 0, 3) → 1

1b)

Return a new String that removes all copies of the given char ch from the given String

removeChar("dog", "o") → "dg"
removeChar("cat", "o") → "cat"
removeChar("aaa", "a") → ""

1c)

Return the number of times the letter 'a' is directly followed by the letter 'b' in the given String.

countAB("abc") → 1
countAB("wxyz") → 0
countAB("bcaca") → 0

1d)

Return a new String that is a copy of the given String with each character copied the given number of times. Assume that n is 0 or more.

eachCharNTimes("abc", 2) → "aabbcc"
eachCharNTimes("xyz", 3) → "xxxyyyzzz"
eachCharNTimes("a", 5) → "aaaaa"

In baseball a teams success is often thought to be a function of the team's hitting and pitching performance. One measure of hitting performance is the number of home runs that team hits, and one measure of pitching performance is the earned run average for the teams pitching staff. It is generally believed that teams that hit more home runs and have a lower earned run average will win a higher percentage of games played. The following data show the proportion of games won, the number of home runs (HR), and the earned run average (ERA) for the 16 teams in the National League for the 2003 Major League Baseball season.

1. Could someone please help me calculate the critical value of the model?

2. Also, I need to find the conclusion. I limited it down to these two. Could you please explain the reason for a or b?

a. Do not reject null hypothesis. there is not significant relationship between HR and wins

b. Do not reject null hypothesis. There is a significant relationship between ERA and wins

Thanks so much for your help. Will give you 5 stars

The manager of a music store has kept records of the number of CDs bought in a single transaction by customers who make a purchase at the store. The accompanying table gives six possible outcomes and the estimated probability associated with each of these outcomes for the chance experiment that consists of observing the number of CDs purchased by a randomly selected customer at the store.

(a) What is the estimated probability that the next customer purchases three or fewer CDs?


(b) What is the estimated probability that the next customer purchases at most three CDs?


How does this compare to the probability computed in part (a)?

greater than part (a)less than part (a)     the same as part (a)

(c) What is the estimated probability that the next customer purchases five or more CDs?


(d) What is the estimated probability that the next customer purchases one or two CDs?


(e) What is the estimated probability that the next customer purchases more than two CDs?

What are the answer to these?

1. In a typical month, an insurance agent presents life insurance plans to 40 potential customers. Historically, one in four such customers chooses to buy life insurance from this agent. You may treat this as a binomial experiment.
   1. What is the probability of success for this problem?
   2. What is the total number of trials in this problem?
   3. Create a probability distribution table which includes the value for the random variable and the probability of each possible outcome of the random variable. Also create the cumulative probability column.
   4. What is the probability that exactly five customers will buy life insurance from this agent in the coming month?
   5. What is the probability that no more than 10 customers will buy life insurance from this agent in the coming month?
   6. What is the probability that at least 20 customers will buy life insurance from this agent in the coming month?
   7. Determine the mean and standard deviation of the number of customers who will buy life insurance from this agent in the coming month?
   8. What is the probability that the number of customers who buy life insurance from this agent in the coming month will lie within two standard deviations of the mean?

show in excel

A sample of 16 Triple-A minor league baseball teams were selected for statistical analysis. The following data show the average attendance for the 16 teams selected. Also shown are the teams’ records; W denotes the number of games won, L denotes the number of games lost, and PCT is the proportion of games played that were won.  Additionally, each teams’ major league association was given. The data are contained in the file named AAA.

1. Report your results in a summary
   1. Introduction:  In your own words, briefly discuss the motivation of this research (why would a study on credit card charges be of interest?).
   2. Graph and Summary statistics:  present a graph that summarizes the data along with a table of summary statistics for each variable in the data set.  An interpretation must accompany any graph, chart, or table that you use.
   3. Methods:  
      1. Develop estimated regression equations, first using attendance as the dependent variable and then using number of wins as the independent variable. Discuss your findings.
      2. Develop an estimated regression equation with attendance as dependent variable and both league and wins as the independent variables.  Discuss your findings.
      3. What is the predicted attendance for an America league AAA team with 72 wins?

4. Discussion:  Interpret the statistical decision you arrived at in terms that would be useful for sport organizations.  This section should also include suggestions for further research and/or discussion of additional variables that may provide more precise results.  

A sample of 16 Triple-A minor league baseball teams were selected for statistical analysis. The following data show the average attendance for the 16 teams selected. Also shown are the teams’ records; W denotes the number of games won, L denotes the number of games lost, and PCT is the proportion of games played that were won.  Additionally, each teams’ major league association was given. The data are contained in the file named AAA.

1. Report your results in a summary (see sample outline on Blackboard under Start Here).
   1. Introduction:  In your own words, briefly discuss the motivation of this research (why would a study on credit card charges be of interest?).
   2. Graph and Summary statistics:  present a graph that summarizes the data along with a table of summary statistics for each variable in the data set.  An interpretation must accompany any graph, chart, or table that you use.
   3. Methods:  
      1. Develop estimated regression equations, first using attendance as the dependent variable and then using number of wins as the independent variable. Discuss your findings.
      2. Develop an estimated regression equation with attendance as dependent variable and both league and wins as the independent variables.  Discuss your findings.
      3. What is the predicted attendance for an America league AAA team with 72 wins?

4. Discussion:  Interpret the statistical decision you arrived at in terms that would be useful for sport organizations.  This section should also include suggestions for further research and/or discussion of additional variables that may provide more precise results.  

Problem 6.082 SI

Steam undergoes an isentropic compression in an insulated piston–cylinder assembly from an initial state where T₁ = 120°C, p₁ = 1 bar to a final state where the pressure p₂ = 50 bar.


Determine the final temperature, in °C, and the work, in kJ per kg of steam.

3.0 kg of air initially occupying a volume of 0.01 m3 at a pressure of 95.0 bar expands in a piston-cylinder assembly isothermally and without irreversibilities until the volume is 0.05 m3. Using the Redlich-Kwong equation of state, determine the

1. temperature during the process, in K

2. final pressure, in bar

A piston-cylinder has a volume of 1 ft3 and contains a substance initially at 50 °F and 1 atm. The system is then heated until the temperature becomes 300 °F. Determine the total heat added (Btu) and final volume (ft3) assuming the substance is: a) water, b) copper, c) neon, d) air.