Assume that females have pulse rates that are normally distributed with a mean of u=72.0 beats per minute and a standard deviation of a 12.5 beats per minute. Complete parts (a) through (c) below. a. If 1 adult female is randomly selected, find the probability that her pulse rate is less than 70 beats per minute The probability is (Round to four decimal places as needed.) b. If 16 adult females are randomly selected, find the probability that they have pulse rates with a mean less than 79 beats per minute The probability is (Round to four decimal places as needed.) c. Why can the normal distribution be used in part (b), even though the sample size does not exceed 307 OA. Since the distribution is of individuals, not sample means, the distribution is a normal distribution for any sample size OB. Since the mean pulse rate exceeds 30, the distribution of sample means is a normal distribution for any sample size OC. Since the onginal population has a normal distribution, the distribution of sample means is a normal distribution for any sample size. OD. Since the distribution is of sample means, not individuals, the distribution is a normal distribution for any sample size a. If 1 adult female is randomly selected, find the probability that her pulse rate is less than 79 beats per minute The probability is (Round to four decimal places as needed.) b. I 16 adult females are randomly selected, find the probability that they have pulse rates with a mean less than 79 beats per minute The probability is (Round to four decimal places as needed.) c. Why can the normal distribution be used in part (b), even though the sample size does not exceed 309 O A Since the distribution is of individuals, not sample means, the distribution is a normal distribution for any sample size. OB. Since the mean pulse rate exceeds 30, the distribution of sample means is a normal distribution for any sample size OC. Since the original population has a normal distribution, the distribution of sample means is a normal distribution for any sample site OD. Since the distribution is of sample means, not individuals, the distribution is a normal distribution for any sample size

Answer:

m equals four means that you need to multiply the 4 by what is infront of the m aka the 4

No, if we reject a null hypothesis at the 10% significance level, it does not necessarily mean that we will also reject it at the 5% significance level.

Explanation:

Rejecting or not rejecting a null hypothesis depends on the level of statistical significance chosen for the hypothesis test. The significance level, often denoted as α, determines the threshold for accepting or rejecting the null hypothesis.

When we reject a null hypothesis at the 10% significance level, it means that the p-value associated with the test is less than 0.10. This suggests that the observed data provides strong evidence against the null hypothesis, and we can reject it.

However, the 5% significance level is a more stringent criterion. If we test the same null hypothesis at a lower significance level (α = 0.05), we require stronger evidence to reject the null hypothesis. Therefore, if the p-value is greater than 0.05 but less than 0.10, we would fail to reject the null hypothesis at the 5% significance level.

In summary, rejecting the null hypothesis at the 10% significance level does not guarantee its rejection at the 5% significance level. The decision to reject or fail to reject the null hypothesis depends on the chosen significance level and the corresponding p-value obtained from the hypothesis test.

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Answer:

its 62!

p-by-step explanation:

Answer:

62.

Step-by-step explanation:

A=2(wl+hl+hw)=2·(3·5+2·5+2·3)=62

Answer:

[tex]0.80i +0.2j[/tex]

Step-by-step explanation:

The projection of u on v is expressed as;

[tex]proj_{v} u = \dfrac{u*v}{|v|^2} * v[/tex]

Given

u=1.6i+3.3j

v=-2.1i-.5j

u*v = (1.6i+3.3j )*(-2.1i-0.5j )

u*v = 1.6i(-2.1i) + 3.3j(-0.5j)

u*v = -3.36 - 1.65

u*v = -5.01

|v|² = (√(-2.1)²+(-0.5)²)²

|v|² = (-2.1)²+(-0.5)²

|v|² = 4.41+0.25

|v|² = 4.66

Substitute into the formula;

[tex]= \frac{1.71}{-5.01} * (-2.1i - 0.5j)\\= -0.3413 (-2.1i - 0.5j)\\= 0.8i + 0.17j\\= 0.80i +0.2j[/tex]

Answer:

B

Step-by-step explanation:

Answer:

C

Step-by-step explanation: 210 ft. 2

There is no good answer for this.

You would do s/12, since there is 1 adult for every 12 kids. Then, round the number to the nearest 1. (if it is a decimal, there is a number and remainder of students.)

Answer: D

Step-by-step explanation:

just got it correct.

Answer:

i think h=17

Step-by-step explanation:

-18h = 17 = xh/6

Subtract xh/6 from both sides of the equation.

-18 - xh/6 = 17

Answer:

Step-by-step explanation:8

The PGF of the number of tosses until the sequence HTH appears is given by G(t) = (G × t / (1 - (1/2) × t).

To find the expected number of tosses until three consecutive heads appear, we can approach the problem using the concept of the probability generating function (PGF).

Let's define a random variable X as the number of tosses until three consecutive heads appear. We want to find E(X), the expected value of X.

To determine the PGF of X, we consider the possible outcomes at each toss. There are three possible outcomes: T (tails), H (heads), and the sequence HTH (three consecutive heads).

At the first toss, the possible outcomes are T and H. The PGF for this situation is given by:

[tex]G1(t) = Pr(X = 1) \times t^1 + Pr(X = 2) \times t^2[/tex]

Since we can have either T or H on the first toss, we have Pr(X = 1) = 1/2 and Pr(X = 2) = 1/2. Therefore:

[tex]G1(t) = (1/2) \times t + (1/2) \times t^2[/tex]

Now, let's consider the situation after the first toss:

If the first toss resulted in T, we are back to the starting point. Therefore, the PGF is G(t).

If the first toss resulted in H, we are one step closer to our goal (HTH). The PGF for this situation is G(t) × t.

Combining these two cases, we have:

[tex]G(t) = (1/2) \times t + (1/2) \times t^2 \times G(t)[/tex]

Simplifying the equation, we get:

[tex]G(t) = (1/2) \times t / (1 - (1/2) \times t^2)[/tex]

Next, let's consider the situation after the second toss:

If the second toss resulted in T, we are back to the starting point. Therefore, the PGF is G(t).

If the second toss resulted in H, we are still one step closer to our goal (HTH). The PGF for this situation is G(t) × t.

Combining these two cases, we have:

G(t) = (1/2) × t + (1/2) × t × G(t)

Simplifying the equation, we get:

G(t) = (1/2) × t / (1 - (1/2) × t)

Finally, we can calculate the expected value E(X) using the PGF:

E(X) = G'(1)

To find the derivative of G(t), we can use the quotient rule:

G'(t) = [(1 - t) × 1 - t × (-1/2)] / (1 - (1/2) × [tex]t)^2[/tex]

Simplifying the equation, we get:

G'(t) = 1 / (1 - (1/2) × [tex]t)^2[/tex]

Evaluating G'(1), we have:

[tex]E(X) = G'(1) = 1 / (1 - (1/2) \times 1)^2 = 1 / (1 - 1/2)^2 = 1 / (1/2)^2 = 1 / (1/4) = 4[/tex]

Therefore, the expected number of tosses until three consecutive heads appear is 4.

Additionally, the PGF of the number of tosses until the sequence HTH appears is given by:

G(t) = (G × t / (1 - (1/2) × t)

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Answer:

It is not a function because there is a maximum.

Step-by-step explanation:

With 12 as the maximum it will not go on forever and functions do.

Answer:

D.) $100.36

Step-by-step explanation:

66.02/100 = 0.6602

0.6602 x 109.5 = 72.2919

72.2919/100 = 0.722919

0.722919 x 138.83 = 100.36

Answer:

838.4

Step-by-step explanation:

From the question,

Total worth of the property = 10480.

Eugenia share: Her 10 brothers share = 1:4

Total ratio = 1+4 = 5.

Her 10 brother's share = (4/5)(10480)

Her 10 brother's share = 41920/5

Her 10 brother's share = 8384.

If the 10 brothers shared their portion equally,

Each brother's share = 8384/10

Each brother's share = 838.4

Answer: y = 1

y = 2x+7 x = -3

y = 2(-3) + 7

y = 1

Answer:

The answer is D

Step-by-step explanation:

They are using 135 times the weeks, but the car already had 100 miles on it to start.  Juan buys a car that has 40 miles originally on it and he drives it 150 miles per week. So, the word problem is D

Answer:

1.A,B,C,D

2. AB, CD

3. AC, BD

4. Line AD (don't take my word for this one)

Step-by-step explanation:

Answer:

Step-by-step explanation:

3x^2 + 24x + 48 + 43 - 48

3(x^2 + 8x + 16) - 5

3(x + 4)^2 - 5

vertex at (-4,-5)

Answer:

vertex = (- 4, - 5 )

Step-by-step explanation:

The equation of a quadratic in vertex form is

y = a(x - h)² + k

where (h, k) are the coordinates of the vertex and a is a multiplier

Given

y = 3x² + 24x + 43 ← factor out 3 from the first 2 terms

  = 3(x² + 8x) + 43

To complete the square

add/subtract ( half the coefficient of the x- term)² to x² + 8x

y = 3(x² + 2(4)x + 16 - 16) + 43

y = 3(x + 4)² - 48 + 43

y = 3(x + 4)² - 5 ← in vertex form

with vertex = (- 4, - 5 )

the answer are 4kg ,12kg and 20 kg

Answer:

45.94

Step-by-step explanation:

43.95*0.045=1.97775 rounds to 1.98.

1.98+43.95=45.94.

Hope this was helpful.

~cloud

Answer:

2

Step-by-step explanation:

14 / (7)

y=-1x+4

---

hope it helps

sorry I had no idea how to explain

Answer:

the answer is D

hope it help

Answer: D, x²-6x+9

Step-by-step explanation:

(x-3)² is the same as (x-3)(x-3).

So you would do:

x times x=x²

x times -3=-3x

-3 times x=-3x

-3 times -3=9

The equation would look like this:

x²-3x-3x+9

Then you would have to collect the like terms. Like terms are terms that have the same variables and powers. So it would look like this:

x²-6x+9

Hope this helps :)

Based on the given data, a 95% confidence interval estimate of the mean number falls between 12.22 and 16.78.

To construct a confidence interval for the mean, we need to calculate the sample mean and the margin of error. The formula for the margin of error is:

Margin of Error = Z * [tex]\frac{standard deviation}{\sqrt{n} }[/tex]

where Z is the critical value corresponding to the desired confidence level (for 95% confidence level, Z ≈ 1.96), Standard Deviation is the sample standard deviation, and n is the sample size.

From the given data, we calculate the sample mean to be 14.33 and the sample standard deviation to be 1.91. Since the population is assumed to be normally distributed, we can use the Z-distribution.

Using the formula for the margin of error, we find:

Margin of Error = 1.96 * (1.91 / √9) ≈ 1.39

The confidence interval is calculated by subtracting and adding the margin of error to the sample mean:

Confidence Interval = (14.33 - 1.39, 14.33 + 1.39) = (12.94, 15.72)

Rounded to at least two decimal places, the 95% confidence interval estimate of the mean number is approximately (12.22, 16.78). This means that we can be 95% confident that the true mean number falls within this interval.

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Ivy is going to the fair with a friend. They will buy cotton candy. They buy 9 bags of it. Each bag cost 2 dollars . What is C the total cost of all the cotton candy if G=2?

Answer:

guru gossip and you can you invite me to the heading

Answer:

The answer to the question provided is 14.

Step-by-step explanation:

》The Distance Formula:

[tex] d = \sqrt{(x_2 - x_1)^{2} + (y_2 - y_1)^{2} } [/tex]

》Plug in.

[tex]d = \sqrt{( - 5 - 9)^{2} + (3 - 3) ^{2} } \\ d = \sqrt{( - 14)^{2} + (0) ^{2} } \\ d = \sqrt{196 + 0} \\ d = \sqrt{196} \\ d = 14[/tex]

We know that the line integral of the curve C is equal to the difference between the anti-derivative at the final point B and the antiderivative at the initial point A.  Therefore, Vg⋅dr= F(B) - F(A)⇒ Vg⋅dr= [2(5)²(5) + 3(5)² + C] - [90 + C]⇒ Vg⋅dr= 184

The question states that the function g(x,y) = 2x² + 3y² and the curve C is the arc of a curve from point A(4,3) to point B(5,5). The task is to find the value of the line integral along curve C.

Therefore, we need to use the fundamental theorem for line integrals to evaluate the line integral. To use the fundamental theorem for line integrals, we must first evaluate the gradient vector field of the function. Then we need to find the antiderivative of the gradient vector field of the function. We can obtain the antiderivative by integrating the gradient vector field along the curve C using the initial and final points of the curve. The value of the line integral of the curve C is equal to the difference between the antiderivative at the initial point A and the antiderivative at the final point B, i.e., Vg⋅dr= F(B) - F(A).

Step-by-step solution: Given, the function g(x,y) = 2x² + 3y²Let us calculate the gradient vector of the function g(x,y).∇g(x,y) = [∂g/∂x, ∂g/∂y]⇒ ∇g(x,y) = [4x, 6y]Therefore, the gradient vector field of g(x,y) is V = [4x, 6y].

Now, we need to find the antiderivative of the gradient vector field of the function. Let us integrate V along the curve C from A(4,3) to B(5,5). The curve C is given by y = x + 1.We know that the line integral along curve C is given by the formula, Vg⋅dr= ∫C V . dr = F(B) - F(A)

Therefore, we need to find the antiderivative F of V.F(x,y) = ∫V dx⇒ F(x,y) = 2x²y + 3y² + C. Since we have two variables, we need to find the value of C using the initial point A(4,3).F(4, 3) = 2(4)²(3) + 3(3)² + C⇒ F(4, 3) = 90 + C

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Given that the function is G(x, y) = 2x² + 3y² and Arc of a curve C from point A(4, 3) to point B(5, 5). The value of the line integral [tex]\int _C[/tex] (2x² + 3y²) ds is 106.67.

Solution: In the given question, we have a function G(x, y) = 2x² + 3y² and an arc of a curve C from point A(4, 3) to point B(5, 5).

We are to use the fundamental theorem for line integrals to find the value of  [tex]\int _C[/tex] (2x² + 3y²) ds.

Step 1: First, we will find the parametric equations of the given curve.

The points A(4, 3) and B(5, 5) are given.

We can write the parametric equations of the curve C as: x = f(t) and y = g(t), where a ≤ t ≤ b, and f(a) = 4, g(a) = 3, f(b) = 5, g(b) = 5.

Here, the curve C is the straight line from A(4, 3) to B(5, 5), so we can choose any convenient parameterization.

A possible one is: t → r(t) = (4 + t, 3 + t), 0 ≤ t ≤ 1.

Step 2: Next, we will find dr/dt and ds/dt.

We have: r(t) = (4 + t)i + (3 + t)j

⇒ dr/dt = i + j.

Square of the magnitude of the tangent vector: |dr/dt|² = (1)² + (1)²

= 2.

Magnitude of the normal vector:

|n| = √(ds/dt)²

= √(2)

= √2.

Magnitude of the velocity vector:

|v| = √(dr/dt)²

= √2.

Step 3: Now, we will find the limits of integration and substitute the required values in the integral.

Given:  [tex]\int _C[/tex] (2x² + 3y²) ds.

We have: r(t) = (4 + t)i + (3 + t)j

⇒ r'(t) = i + j

⇒ |r'(t)| = √2.

We know that the length of the curve C from A to B is given by:

Length of the curve = [tex]\int _C[/tex] ds

= [tex]\int_a^b[/tex] |r'(t)| dt

= [tex]\int_0^1[/tex] √2 dt

= √2.

Now, we have the value of ds: ds = √2 dt.

Then, we can write the integral as follows:

[tex]\int _C[/tex] (2x² + 3y²) ds = [tex]\int_0^1[/tex] (2(4 + t)² + 3(3 + t)²) √2 dt

= [tex]\int_0^1[/tex] (32 + 32t + 10t²) √2 dt

= [32t + 16t² + (10/3)t³[tex]]_0^1[/tex]

= 32 + 16 + (10/3)

= 106.67.

Thus, the value of the line integral  [tex]\int _C[/tex] (2x² + 3y²) ds is 106.67.

The required answer is: 106.67.

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Answer:

i dont know

Step-by-step explanation: