Answer: P(22 ≤ x ≤ 29) = 0.703
Step-by-step explanation:
Since the machine's output is normally distributed, we would apply the formula for normal distribution which is expressed as
z = (x - µ)/σ
Where
x = output of the machine in ounces per cup.
µ = mean output
σ = standard deviation
From the information given,
µ = 27
σ = 3
The probability of filling a cup between 22 and 29 ounces is expressed as
P(22 ≤ x ≤ 29)
For x = 22,
z = (22 - 27)/3 = - 1.67
Looking at the normal distribution table, the probability corresponding to the z score is 0.047
For x = 29,
z = (29 - 27)/3 = 0.67
Looking at the normal distribution table, the probability corresponding to the z score is 0.75
Therefore,
P(22 ≤ x ≤ 29) = 0.75 - 0.047 = 0.703
Answer:
<h2><em>11.6%</em></h2>
Step-by-step explanation:
The probability of getting a 6 is 1/6.
The probability of not getting a 6 is 5/6
We roll a die 4 times and want 2 sixes, and 2 not sixes.
i.e.exact 2 6's
We want a combination of 2 sixes from 4 rolls, so we can use the binomial formula to solve this
(4C2)(1/6)²(5/6)² = 6(1/36)(25/36) = (1/6)(25/36) = 25/216 = 0.1157
Nearest tenth of percent is 0.1157×100=11.6%
Ans :11.6%
Answer:
17.5 metres
175 decimetres
1750 centimetres
17500 millimetres
1.75 decametres
0.175 hectometre
0.0175 kilometre
Hope it helps,
Pls mark as brainliest answer...
Step-by-step explanation:
Answer:
P(I⋂D)
Step-by-step explanation:
The symbolic way to represent the probability of a true positive is P(I⋂D).
We know that I stands for Infected, U stands for Uninfected, D for Infection detected, N for infection no detected.
Then, a true positive will be given by the intersection of Infected and Infection Detected.
Answer:
The p -value is less than 0.001.
Step-by-step explanation:
Given information:
Sample size = 25 chips
Sample mean = 985
Sample standard deviation = 10
Let as assume that sample is distributed normally.
The formula for test statistic
where,
is sample mean
μ is population mean.
s is sample standard deviation.
n is sample size.
The value of test statistic is
The p-value is
Therefore the p -value is less than 0.001.
