Q= Analysts determined that a baseball team had a 25% chance of winning its next game. Which simulation could you use to answer questions about winning the game?
Answer:
<u>For this question, there is a 75% chance of loosing.</u>
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<u>In a similar question .........</u></em></h3>
Q= Analysts determined that a basketball team had a 50% chance of winning its next game. Which simulation could you use to answer questions about winning the game?
A<u>= the team has 50% probilty of suscseeding</u>
<u>So we should use a simulation that also has the same posiblities.
</u>
<u>
so flipping a coin can be used in this situaouion </u>
<u> as it has 2 ends each with probability 1/2. Therefore in this question answer is 50 % </u>
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<u>Therfore the answer is 75% because if you see the answer and question to the example I have proivedand see how you get that answer you will undrestnad the promblem you have. </u></h3>
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<h2><u>I Hope this helps!</u></h2><h2><u>Have a great day !</u></h2><h2><u>Please mark brianest if it deserves too ! </u></h2>
Answer:
The number of batches Ben can make with 5/6 cup of green chilies is
batches of salsa.
Step-by-step explanation:
From the question,
Ben needs 1/3 cups of chilies for a batch of salsa.
To determine how many batches of salsa he can make with 5/6 cup of green chilies,
Let the number of batches Ben can make with 5/6 cup of green chilies be x.
Now,
If 1/3 cups of green chilies is needed for 1 batch,
Then, 5/6 cups of green chilies will make x batches
1/3 × x = 5/6 × 1
x = 5/6 ÷ 1/3
x = 
x = 
x = 
x = 
x = 
Hence, the number of batches Ben can make with 5/6 cup of green chilies is
batches of salsa.
Answer:
X = ±5
Step-by-step explanation:
X^2 - 9 = 16
Add 9 to each side
X^2 - 9+9 = 16+9
X^2 = 25
Take the square root of each side
sqrt(X^2 ) =±sqrt(25)
X = ±5
Answer:
x=11
Step-by-step explanation:
Answer:
<u>Standard deviation for owner-occupied units</u>
2.9797
<u>Standard deviation for renter-occupied units</u>
3.1594
Step-by-step explanation:
Let us find first the mean. This is the distribution expected value or expectancy.
<u>Mean for owner-occupied units</u>
0.003 + 2*0.002 + 3*0.023 + 4*0.102 + 5*0.209 + 6*0.223 + 7*0.201 + 8*0.149 + 9*0.053 + 10*0.035 = 6.293
To compute the variance for owner-occupied units, we add these values


then divide by 10 and take the square root to get the standard deviation 2.9797
<u>Mean for renter-occupied units</u>
0.008 + 2*0.027 + 3*0.287 + 4*0.371 + 5*0.155 + 6*0.090 + 7*0.043 + 8*0.013 + 9*0.003 + 10*0.003 = 4.184
To compute the variance for renter-occupied units, we add these values


then divide by 10 and take the square root to get the standard deviation 4.184