Answer: 191
Step-by-step explanation:
Formula to find the minimum sample size required to estimate a population proportion or percentage:
, where = proportion estimated by prior study.
E= Margin of error.
z* = Critical z-value.
Given : Confidence level = 95%
Critical value for 95% confidence = z*=1.96
E= 7%= 0.07
Then,
Hence, the minimum sample size required=191
4^ 0
4^ 5÷4^9
(4^5)(4^-2)/4^-7
The equivalent value of the exponential equation is A = 4⁰ = 1
When you raise a quotient to a power you raise both the numerator and the denominator to the power. When you raise a number to a zero power you'll always get 1. Negative exponents are the reciprocals of the positive exponents.
The different Laws of exponents are:
mᵃ×mᵇ = mᵃ⁺ᵇ
mᵃ / mᵇ = mᵃ⁻ᵇ
( mᵃ )ᵇ = mᵃᵇ
mᵃ / nᵃ = ( m / n )ᵃ
m⁰ = 1
m⁻ᵃ = ( 1 / mᵃ )
Given data ,
Let the exponential equation be represented as A
Now , the value of A is
A = ( 4⁵ x 4⁻⁷ ) / ( 4⁻² )
Now , from the laws of exponents , we get
m⁻ᵃ = ( 1 / mᵃ )
So , A = ( 4⁵ x 4⁻⁷ ) x 4²
And , mᵃ×mᵇ = mᵃ⁺ᵇ
On further simplification , we get
A = 4⁵⁺²⁻⁷
A = 4⁰
A = 1
Hence , the exponential equation is solved
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As x goes toward -9
Answer:
no more than 7 hours
Step-by-step explanation:
You want p(h) ≥ 3, so ...
p(h) ≥ 3
-2/7h +5 ≥ 3
2 ≥ 2/7h . . . . . . add 2/7h -3
7 ≥ h . . . . . . . . . multiply by 7/2
The worker's shift should be 7 hours or less.
The equation is solved by equating it to 3 and solving for h (hours). It results in a maximum work shift of 7 hours to maintain an average productivity of at least 3 pairs of shoes per hour.
The question deals with a linear function that models the productivity rate of workers in a shoe factory. The function is p(h) = -2/7h + 5 which presents the productivity (p) in pairs of shoes per hour, depending on the hours worked (h). If the company requires a minimum productivity of 3 pairs of shoes per hour to stay profitable, we want to find the maximum value of h such that p(h) is equal to or greater than 3.
To solve, equate the function to 3, that is: 3 = -2/7h + 5. By simplifying, you obtain: -2/7h = 3 - 5 = -2. Then, divide both sides by -2/7, we get h = -2 / (-2/7) = 7 hours.
Therefore, for the company to stay profitable, the worker's shift should not exceed 7 hours.
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y = -2x + 2
These are the last two steps of his work.
6x - 6x + 6 = 6
Which statement about this linear system must be true?
A: x must equal 6
B: y must equal 6
C: There is no solution
D: There are infinitely many solutions to this system
Answer:
the answer will equal d
Step-by-step explanation:
Answer:
a) 0.25249
b) 0.66575
Step-by-step explanation:
We solve this question using z score formula
= z = (x-μ)/σ, where
x is the raw score
μ is the population mean = 23.2 gallons
σ is the population standard deviation = 2.7 gallons
a) Find the probability that a randomly selected American drinks more than 25 gallons of bottled water in a year.
For x = 25 gallons
z = 25 - 23.2/2.7
z = 0.66667
Probability value from Z-Table:
P(x<25) = 0.74751
P(x>25) = 1 - P(x<25)
1 - 0.74751
= 0.25249
The probability that a randomly selected American drinks more than 25 gallons of bottled water in a year is 0.25249
2) What is the probability that the selected person drinks between 22 and 30 gallons
For x = 22 gallons
z = 22 - 23.2/2.7
z = -0.44444
Probability value from Z-Table:
P(x = 22) = 0.32836
For x = 30 gallons
z = 30 - 23.2/2.7
z =2.51852
Probability value from Z-Table:
P(x = 30) = 0.99411
The probability that the selected person drinks between 22 and 30 gallons is
P(x = 30) - P(x = 22)
= 0.99411 - 0.32836
= 0.66575
The probability that a randomly selected American drinks more than 25 gallons of bottled water in a year is approximately 0.2514, while the probability that they will drink between 22 and 30 gallons is approximately 0.6643.
This is a statistics question about probability distribution, specifically, normal distribution. You need to find the z-scores and use the standard normal distribution table to find the probabilities.
The average or mean (μ) consumption is 23.2 gallons and standard deviation (σ) is 2.7 gallons.
First, we use the z-score formula: z = (X - μ) / σ
To find out the probability that a selected American drinks more than 25 gallons annually, we substitute X = 25, μ = 23.2 and σ = 2.7 into the z-score formula to get z = (25 - 23.2) / 2.7 ≈ 0.67. Z value of 0.67 corresponds to the probability of 0.7486 in standard normal distribution table, but this is the opposite of what we want. We need to subtract this probability from 1 to find the probability that a person drinks more than 25 gallons annually. So 1 - 0.7486 = 0.2514.
Second, to find the probability an individual drinks between 22 and 30 gallons, we calculate two z-scores: For X = 22, z = (22 - 23.2) / 2.7 ≈ -0.44 with corresponding probability 0.3300, and for X = 30, z = (30 - 23.2) / 2.7 ≈ 2.52 with corresponding probability 0.9943. We find the probability of someone drinking between these quantities by subtracting the smaller probability from the larger, 0.9943 - 0.3300 = 0.6643.
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