Complete question:
Consider the game of chicken. Two players drive their cars down the center of the road directly at each other. Each player chooses SWERVE or STAY. Staying wins you the admiration of your peers (a big payoff) only if the other player swerves. Swerving loses face if the other player stays. However, clearly, the worst output is for both players to stay! Specifically, consider the following payouts. Player two Stay swervePlayer one stay -6 -6 2 -2 swerve -2 2 1 1
a) Does either player have a dominant strategy?
b) Suppose that Player B has adopted the strategy of Staying 1/5 of the time and swerving 4/5 of the time. Show that Player A is indifferent between swerving
and staying.
c) If both player A and Player B use this probability mix, what is the chance that they crash?
Explanation:
a. There is no dominant strategy for either player. Suppose two players agree to live. Then the best answer for the player is to swerve(-6 versus -2). Yet if the player turns two, the player will remain one (2 vs 1).
b. Player B must be shown to be indifferent among swerving and staying if it implements a policy (stay= 1⁄4, swerving= 5/4).
When we quantify a predicted award on the stay / swerving of Player A, we get
E(stay)= (1/5)(-6)+ (4/5)(2)= 2/5 E(swerve)= (1/5)(-2)
c. They both remain 1/5 of the time. The risk of a crash (rest, stay) is therefore (1/5)(1/5)= 1/25= 4%
Answer:
1. 690
2. Do not reject the null hypothesis.
Explanation:
1. Month t
At the end of Feb 6
March 4
April 4
May 4
June 2
14th of July 2
Total 24
Therefore on 14th July, t = 24
Forecast: Y = 450+10t = 450 + 10*24 = 450+240 = 690
2. Options are <em>"a. Reject the null hypothesis. b. Do not reject the null hypothesis. c. Take a larger sample. d. Reserve judgment"</em>
In general, if test statistic is more extreme than the critical values at given level of significance then we reject the null hypothesis otherwise we do not reject the null hypothesis.
Here, test statistic for the given two tailed test is Z = -1.07 and critical value at level of significance α = 0.5 is ± 1.96 . Since -1.96<Z<1.96, we can say that we do not reject Null Hypothesis as the test statistic is not extreme than the critical value at given level of significance.
Answer: Dysfunctional conflict
Explanation:
This is a team conflicts that have negative consequences on the firm.
The conflict is not multicultural because their cultures doe have an impact on the conflict results, it's equally not functional because it's not bringing in a positive results, Both gender and intergroup do not also have an effect on the conflict.
