Step-by-step explanation:
1 544.4
2. 3.025
3. 25.1
4. 52.076
5. 872.1
for your information
1 tenth is equal to 0.1
1 hundredth is equal to 0.01
1 thousandth is equal to 0.001
Answer:
A, f(x) ≥ -36
Step-by-step explanation:
The range is all the possible y values, also called f(x) values.
In this case, the range of the graph extends from -36 to infinity, so the correct answer is f(x) ≥ -36.
Let me know if this helps!
Answer:
C I think
Step-by-step explanation:
The Answer is 216, 72, 24, 8
Answer:
Population of the city after 7 years from now, P(7) = 6370
Given:
Initial Population,
rate, r(t) = 1200 /yr
S(t) = [/tex]\frac{1}{1 + t}[/tex]
Step-by-step explanation:
Let the initial population be
The population after T years is given by the equation:
(1)
Thus, the population after 7 years from now is given by using eqn (1):
Answer: 0, 1, -3
Step-by-step explanation:
f(x) = x^3 +2x^2 -3x
f(x) = x(x^2 +2x-3)
f(x) = x(x-1)(x+3)
to find zeroes, plug into f(x) and solve for each value of x. doing this gives 0, 1, and -3
H0: μ = 30,
Ha: ≠30
at the significance level of 0.01.
You conclude:
a) There is not enough evidence to support the claim.
b) There is enough evidence to support the claim.
Answer:
The correct option is a
Step-by-step explanation:
From the question we are told that
The population mean is
The standard deviation is
The sample size is n = 9
The null hypothesis is
The alternative hypothesis is
The level of significance is
The sample mean is
Generally the test statistics is mathematically represented as
=>
=>
From the z table the area under the normal curve to the right corresponding to 1.2 is
Generally the p-value is mathematically represented as
=>
=>
From the value obtained w can see that
hence
The decision rule is
Fail to reject the null hypothesis
The conclusion is there is not enough evidence to support the claim
To test the hypotheses, use a one-sample t-test to compare the sample mean to the population mean. Calculate the t-value and compare it to the critical t-value at the significance level of 0.01. If the calculated t-value falls within the critical region, reject the null hypothesis. Otherwise, fail to reject the null hypothesis.
To test the hypotheses, we can use a one-sample t-test since we know the population standard deviation and the sample size is small. The null hypothesis (H0) is that the population mean (μ) is equal to 30 seconds, while the alternative hypothesis (Ha) is that the population mean is not equal to 30 seconds.
Using the given information, we can calculate the t-value by using the formula:
t = (sample mean - population mean) / (population standard deviation / sqrt(sample size))
Once we have the t-value, we can compare it to the critical t-value at the significance level of 0.01. If the calculated t-value falls within the critical region, we reject the null hypothesis. If not, we fail to reject the null hypothesis and conclude that there is not enough evidence to support the claim.
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