Answer:
6/7
Step-by-step explanation:
Answer:
6/7
Step-by-step explanation:
divide it by 4
Answer: Change it to decimal
Step-by-step explanation:
Converting it to decimal makes it easier to work with. It might make be an extra step, but in the long run of the problem it helps to make calculations accurate and easier to solve by working with simpler numbers. Converting to decimal form makes the number more precise for square roots, which are usually not whole numbers.
Answer:
n = -9 or 9
Step-by-step explanation:
-1 + 5|n| = 44
~Add 1 to both sides
5|n| = 45
~Divide 5 to both sides
|n| = 9
~Knowing the absolute value rule, the answer can be positive or negative.
Best of Luck!
Answer:
Step-by-step explanation:
Hence, the value of n is 9 or -9.
Hoped this helped.
2 milks + 5 waters + 8 chips = $25
water cost = 2×chips cost
milk cost = $1.50 + water cost
The cost of each: milk, water, chips.
Let m, w, and c represent the costs of milk, water, and chips, respectively. We can write the given relations more compactly as
... 2m + 5w + 8c = 25
... w = 2c
... m = w + 1.5
We can substitute for w everywhere using the second equation. This gives us
... m = 2c +1.5
... 2(2c+1.5) + 5(2c) + 8(c) = 25
... 22c + 3 = 25
... 22c = 22
... c = 1
Then
... m = 2·1 + 1.5 = 3.5
... w = 2·1 = 2
A gallon of milk costs $3.50, a bottle of water costs $2.00, a bag of chips costs $1.00.
$3.50 is how much the milk costs, a bottle of water is $2.00, and the chips are $1.00.
Answer:
We conclude that the population mean is not equal to 17.
Step-by-step explanation:
We are given the following in the question:
Population mean, μ = 17
Sample mean, = 14.12
Sample size, n = 40
Alpha, α = 0.05
Population standard deviation, σ = 4
First, we design the null and the alternate hypothesis
We use Two-tailed z test to perform this hypothesis.
a) Formula:
Putting all the values, we have
b) P-value can be calculated from the standard z-table.
P-value = 0.0000
c) Since the p-value is less than the significance level, we reject the null hypothesis and accept the alternate hypothesis. Thus, the population mean is not equal to 17
d) Now,
e) Rejection Rule:
We reject the null hypothesis if it is less than lower critical value and greater than the upper critical value
If the z-statistic lies outside the acceptance region which is from -1.96 to +1.96, we reject the null hypothesis.
f) Since the calculated z-stat lies outside the acceptance region, we reject the null hypothesis and accept the alternate hypothesis. Thus, the population mean is not equal to 17.
The test statistic is -1.78 and the p-value is 0.0761, indicating that we fail to reject the null hypothesis. Therefore, it cannot be concluded that the population mean is not equal to 17.
The test statistic can be calculated using the formula:
test statistic = (sample mean - population mean) / (population standard deviation / sqrt(sample size))
Plugging in the given values, we get:
test statistic = (14.12 - 17) / (4 / sqrt(40))
Calculating this gives us a test statistic value of -1.78.
The p-value can be calculated using the test statistic. We need to find the probability that a test statistic at least as extreme as -1.78 would occur assuming the null hypothesis is true. Using a standard normal distribution table or software, we find the p-value to be approximately 0.0761.
Since the p-value is greater than the significance level (alpha = 0.05), we fail to reject the null hypothesis. Therefore, we can conclude that there is not enough evidence to suggest that the population mean is not equal to 17.
#SPJ11
Answer:
it depends on the value of x
Step-by-step explanation:
Eg. if x = 1
then, 3(1) < 4
and if, x = 2
then, 3(2) > 4
hope this helps
Answer:
A) 0.026
B) 0.130
Step-by-step explanation:
Complete Question
A factory received a shipment of 10 generators and the vendor who sold the items knows there are 4 generators in the shipment that are defective. Before the receiving foreman accepts the delivery, he samples the shipment, and if too many of the generators in the sample are defective, he will refuse the shipment. Give answer as a decimal to three decimal places.
(A) If a sample of 4 generators is selected, find the probability that all in the sample are defective.
(B) If a sample of 4 generators is selected, find the probability that none in the sample is defective.
Solution
A) This is a binomial distribution problem
Binomial distribution function is represented by
P(X = x) = ⁿCₓ pˣ qⁿ⁻ˣ
n = total number of sample spaces = number of generators to be picked = 4
x = Number of successes required = number of defective generators required = 4
p = probability of success = probability that a randomly selected generator is defective = (4/10) = 0.40
q = probability of failure = probability that a randomly selected generator is NOT defective = 1 - p = 1 - 0.40 = 0.60
P(X = 4) = ⁴C₄ (0.40)⁴ (0.6)⁴⁻⁴ = 0.0256 = 0.026 to 3 d.p.
B) n = total number of sample spaces = number of generators to be picked = 4
x = Number of successes required = number of defective generators required = 0
p = probability of success = probability that a randomly selected generator is defective = (4/10) = 0.40
q = probability of failure = probability that a randomly selected generator is NOT defective = 1 - p = 1 - 0.40 = 0.60
P(X = 0) = ⁴C₀ (0.40)⁰ (0.6)⁴⁻⁰ = 0.1296 = 0.130 to 3 d.p.
Hope this Helps!!!