Answer:
7t + 4
Step-by-step explanation:
hope this helps (✿◕‿◕✿)
Answer:
-3+6y = 9x
6y = 9x+3
y = 9/6x+3/6
y = 3/2x+1/2 ⇒ slope-intercept form
You can construct a residual plot, plotting the x values against the values of the residuals; if there is a non-linear pattern in the residual plot then it would not be suitable to use linear regression, whilst if there is no noticeable pattern (ie. the points are randomly scattered) then the relationship is linear and a line of best fit could be appropriate.
Answer:
The tube are similar in shape.
The height of the small tub is 5 cm.
The volume of the small tube is 150 cm3.
The volume of the large tub is 500 cm3.
Work out the height of the large tub.
Give your answer correct to 3 significant figures.
Step-by-step explanation: Hope this help(:
The probability the man will win will be 13.23%. And the probability of winning if he wins by getting at least four heads in five flips will be 36.01%.
<h3>How to find that a given condition can be modeled by binomial distribution?</h3>
Binomial distributions consist of n independent Bernoulli trials.
Bernoulli trials are those trials that end up randomly either on success (with probability p) or on failures( with probability 1- p = q (say))
P(X = x) = ⁿCₓ pˣ (1 - p)⁽ⁿ⁻ˣ⁾
A man wins in a gambling game if he gets two heads in five flips of a biased coin. the probability of getting a head with the coin is 0.7.
Then we have
p = 0.7
n = 5
Then the probability the man will win will be
P(X = 2) = ⁵C₂ (0.7)² (1 - 0.7)⁽⁵⁻²⁾
P(X = 2) = 10 x 0.49 x 0.027
P(X = 2) = 0.1323
P(X = 2) = 13.23%
Then the probability of winning if he wins by getting at least four heads in five flips will be
P(X = 4) = ⁵C₄ (0.7)⁴ (1 - 0.7)⁽⁵⁻⁴⁾
P(X = 4) = 5 x 0.2401 x 0.3
P(X = 4) = 0.3601
P(X = 4) = 36.01%
Learn more about binomial distribution here:
brainly.com/question/13609688
#SPJ1
