The probability of getting heads while flipping a coin for three times is 1/2
<u>Explanation:</u>
When a coin is flipped then there are two possible outcomes.
We can either get a heads or a tail.
If a coin is flipped three times and the possibility of getting heads would be 3
Total number of outcomes would be 6 ( 2 possible outcomes X 3 times toss)
Therefore, probability of getting heads would be = 3/6
= 1/2
Therefore, the probability of getting heads while flipping a coin for three times is 1/2
We can plot this data on MS Excel and determine the distribution of these data reflected on the graph. Among these numbers, 50 is the outlier since it is very far from the other numbers ranging from 76 to 83. We can perform interquartile range to determine or verify the outliers in the data set. In this respect, we can see that there is not much distribution seen. The average of all data sets is equal to 96.25. When the outlier (50) is removed, we expect the mean to become higher since a low number was ommitted including high numbers only. Outliers are obtained from special causations such as human errors.
You would do 150/15=10 since this is a percent change it to a decimal(.10) to check do 150x.10=15 and 15/.10=150
Answer:
1. 12x+7
2. x=7
Step-by-step explanation:
1. 4(5x-1)-8x+11=?
multiply 4(5x-1)
20x-4-8x+11
Subtract 8x from 20x which is 12x
then subtract 4 from 11 which is 7
12x+7
