Step-by-step explanation:
The formula for binomial distribution is expressed as
P(x = r) = nCr × p^r × q^(n - r)
Where
x represent the number of successes.
p represents the probability of success.
q = (1 - p) represents the probability of failure.
n represents the number of trials or sample.
From the information given,
p = 36.5% = 36.5/100 = 0.365
q = 1 - p = 1 - 0.365
q = 0.635
n = 15
a) P(x = 0) = 15C0 × 0.365^0 × 0.635^(15 - 0) = 0.0011
P(x = 1) = 15C1 × 0.365^1 × 0.635^(15 - 1) = 0.0095
P(x = 2) = 15C2 × 0.365^2 × 0.635^(15 - 2) = 0.038
P(x = 3) = 15C3 × 0.365^3 × 0.635^(15 - 3) = 0.095
P(x = 4) = 15C4 × 0.365^4 × 0.635^(15 - 4) = 0.16
P(x = 5) = 15C5 × 0.365^5 × 0.635^(15 - 5) = 0.21
k P(X = k)
0 0.0011
1 0.0095
2 0.038
3 0.095
4 0.16
5 0.21
b) mean = np = 15 × 0.365 = 5.475
c) standard deviation = √npq
= √15 × 0.365 × 0.635
= 1.86
d) z = (x - mean)/standard deviation
x = 2
z = (2 - 5.475)/1.86 = - 1.87
a) 0.1587 b) 0.023 c) 0.1587 d) 1.15 e)-0.95
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 510
Standard Deviation, σ = 100
We are given that the distribution of SAT score is a bell shaped distribution that is a normal distribution.
Formula:
a) P(score greater than 610)
P(x > 610)
Calculation the value from standard normal z table, we have,
b) P(score greater than 710)
Calculating the value from the standard normal table we have,
c)P(score between 410 and 510)
d) x = 625
e) x = 415
Step-by-step explanation:
The formula for binomial distribution is expressed as
P(x = r) = nCr × p^r × q^(n - r)
Where
x represent the number of successes.
p represents the probability of success.
q = (1 - p) represents the probability of failure.
n represents the number of trials or sample.
From the information given,
p = 36.5% = 36.5/100 = 0.365
q = 1 - p = 1 - 0.365
q = 0.635
n = 15
a) P(x = 0) = 15C0 × 0.365^0 × 0.635^(15 - 0) = 0.0011
P(x = 1) = 15C1 × 0.365^1 × 0.635^(15 - 1) = 0.0095
P(x = 2) = 15C2 × 0.365^2 × 0.635^(15 - 2) = 0.038
P(x = 3) = 15C3 × 0.365^3 × 0.635^(15 - 3) = 0.095
P(x = 4) = 15C4 × 0.365^4 × 0.635^(15 - 4) = 0.16
P(x = 5) = 15C5 × 0.365^5 × 0.635^(15 - 5) = 0.21
k P(X = k)
0 0.0011
1 0.0095
2 0.038
3 0.095
4 0.16
5 0.21
b) mean = np = 15 × 0.365 = 5.475
c) standard deviation = √npq
= √15 × 0.365 × 0.635
= 1.86
d) z = (x - mean)/standard deviation
x = 2
z = (2 - 5.475)/1.86 = - 1.87
a) 0.1587 b) 0.023 c) 0.1587 d) 1.15 e)-0.95
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 510
Standard Deviation, σ = 100
We are given that the distribution of SAT score is a bell shaped distribution that is a normal distribution.
Formula:
a) P(score greater than 610)
P(x > 610)
Calculation the value from standard normal z table, we have,
b) P(score greater than 710)
Calculating the value from the standard normal table we have,
c)P(score between 410 and 510)
d) x = 625
e) x = 415
2.7 and 99.6%
Step-by-step explanation:
In this question, we are asked to calculate the percentage of the population scores as a genius.
We proceed as follows;
z =( Mean - value)/standard deviation= (140 - 100)/15 = 2.6667 = 2.7
From normal probability table, given that z = 2.67, the probability is 0.9962
This means that the required percentage is 99.6%
2.7 and 99.6%
Step-by-step explanation:
In this question, we are asked to calculate the percentage of the population scores as a genius.
We proceed as follows;
z =( Mean - value)/standard deviation= (140 - 100)/15 = 2.6667 = 2.7
From normal probability table, given that z = 2.67, the probability is 0.9962
This means that the required percentage is 99.6%
For 1 flavor there are 9 topping
Therefore, for 5 different flavors there will be 5*9 choices
No of choices= 5*9
=45
The answer is in the image
For every 8 cars there are 7 trucks
Therefore,
Cars:Truck=8:7
Answer is B)8:7
It will provide an instant answer!