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Sholpan [36]
3 years ago
15

Binomial Probability Distribution. How to determine the probability of one candidate of two winning.

Mathematics
1 answer:
Angelina_Jolie [31]3 years ago
4 0
.5

B - binary?
I - independent?
N - trials
S - prob success

B - yes, win or not
I - past candidates don’t affect future candidates
N - 2 candidates
S - .5 probability of winning

Go to the binompdf function on your graphing calculator.

binompdf(2 (trials), .5 (p), 1 (1)) = .5
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PLEASE HELP!!
Musya8 [376]

Answer:

x = - 33

Step-by-step explanation:

Given

\frac{2}{3}(x + 6) = - 18

Multiply both sides by 3 to clear the fraction

2(x + 6) = - 54 ( divide both sides by 2 )

x + 6 = - 27 ( subtract 6 from both sides )

x = - 33

6 0
3 years ago
Read 2 more answers
Diff Eq dy/dx= (ycos(x))/(1+y^2) initial condition is y(0)=1 work below ...?
Volgvan
Dy/dx = (ycos(x))/(1 + y²)
(1 + y²)/y dy = cos(x) dx
(1/y + y) dy = cos(x) dx
Integrating:
ln(y) + y²/2 = sin(x) + c
ln(1) + 1/2 = sin(0) + c
c = 1/2
Thus,
ln(y) + y²/2 = sin(x) + 1/2
5 0
3 years ago
A girls hair is 23 inches long how long and grows about half an inch every month how long will her hair be in 2 years
jasenka [17]

Answer:

Step-by-step explanation:

1/2 multiplied by (12 multiplied by 2)

1/2 (24)

= 12 inches grown + 23 inches

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4 0
4 years ago
When I triple my number and add five I get twenty six what is my number
fenix001 [56]

26-5=21

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3 0
3 years ago
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A random sample of size 15 taken from a normally distributed population revealed a sample mean of 75 and a sample variance of 25
GREYUIT [131]

Answer:

The upper limit of a 95% confidence interval for the population mean would equal 83.805.

Step-by-step explanation:

The standard deviation is the square root of the variance. Since the variance is 25, the sample's standard deviation is 5.

We have the sample standard deviation, not the population, so we use the t-distribution to solve this question.

T interval:

The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So

df = 15 - 1 = 14

Now, we have to find a value of T, which is found looking at the t table, with 14 degrees of freedom(y-axis) and a confidence level of 0.95(t_{95}). So we have T = 1.761

The margin of error is:

M = T*s = 1.761*5 = 8.805.

The upper end of the interval is the sample mean added to M. So it is 75 + 8.805 = 83.805.

The upper limit of a 95% confidence interval for the population mean would equal 83.805.

4 0
4 years ago
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