What is the variance (s2) of the following set of scores?

12

25

6

9

16

13

11

10

8

7

6

14

16

12

11

23

A) 11.29

B) 28.30

C) 15.31

D) 30.13

Answer:

20 m per second

Step-by-step explanation:

100 / 5 = 20

Answer:

X= -2, -1, 0, 1

Step-by-step explanation:

X can be all of those

-2  ≤ X - this means that X is greater than -2 or equal

X< 2 - This means X is less than 2

so you find all the # from -2 to 1 because that is the number less than 2 so

-2, -1, 0, 1

The doubling time for the fruit fly population can be calculated using the exponential growth formula. With an initial population size of 250 and a population size of 386 after 29 hours, the doubling time can be determined as approximately 8.32 hours.

The exponential growth formula is given by:

N = N0  * (1 + r)^t

Where:

N = Final population size

N0 = Initial population size

r = Growth rate

t = Time

We can rearrange the formula to solve for the doubling time:

2N0 = N0  * (1 + r)^t

Dividing both sides of the equation by N0, we get:

2 = (1 + r)^t

Taking the logarithm (base 10) of both sides, we have:

log (2) = log (1 + r)^t

Using the property of logarithms, we can bring the exponent down:

log (2) = t * log(1 + r)

Rearranging the equation to solve for t, we get:

t = log(2) / log(1 + r)

Substituting the given values into the equation, we have:

t = log(2) / log(1 + r)

t = log(2) / log(1 + (386 - 250)/250)

t = log(2) / log(1 + 136/250)

t = log(2) / log(1 + 0.544)

t = log(2) / log(1.544)

t ≈ 8.32 hours

Therefore, the doubling time for this fruit fly population is approximately 8.32 hours.

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Answer:

896 containers

Step-by-step explanation:

Given that;

1 pint = 1 container

Convert 112 gallons to pint

1 pint x 0.125 gallons

x = 112gallons

Cross multiply

0.125x = 112

x = 112/0.125

x = 896 pints

Since sour cream is sold only in 1-pint containers, then the total container she will buy is 896 containers

Answer:

The answer is x<3

x= -11

Hope this helps

:T

:B

:D

Answer: 20$

Step-by-step explanation: You would add 2(5)+10=y so 10+10=y 10 + 10 = 20

In this case (5,20). Hope this helps!!

Expanding the expression -3(X² - 4x + 2) + 4(X + 1) involves using the distributive property to multiply each term inside the parentheses by the coefficient outside the parentheses. The resulting expression is simplified by combining like terms and the result is -3X² + 16x - 2.

To expand the given expression, we apply the distributive property. We start by multiplying -3 by each term inside the parentheses: -3(X²) - 3(-4x) - 3(2).

Similarly, we multiply 4 by each term inside the second set of parentheses: 4(X) + 4(1).

The next step is to simplify each multiplication. -3(X²) results in -3X², -3(-4x) simplifies to +12x, and -3(2) simplifies to -6.

Similarly, 4(X) simplifies to 4X, and 4(1) simplifies to 4.

Now, we can combine like terms by adding or subtracting them. In this case, we have -3X² + 12x - 6 + 4X + 4.

Combining the like terms 12x and 4X gives us 16x.

The expression becomes -3X² + 16x - 2.

Therefore, after expanding and simplifying the given expression -3(X² - 4x + 2) + 4(X + 1), the result is -3X² + 16x - 2.

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The total price of the car including the 7.5% sales tax would be $10,750.

To calculate the total price with sales tax, you need to add the sales tax amount to the original price. In this case, the sales tax is 7.5% of the car's worth, which is $10,000.

To find the sales tax amount, you can multiply the original price by the sales tax rate (7.5% or 0.075):

Sales tax = $10,000 * 0.075 = $750

Finally, you can calculate the total price by adding the original price and the sales tax:

Total price = $10,000 + $750 = $10,750.

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The simplified expression in the context of this problem is given as follows:

C. -5yz².

Like terms are terms that share these two features listed as follows:

If terms are like terms, then they can be either added or subtracted.

The expression for this problem is given as follows:

4yz²- 5yz² + 7yz² - 5yz² + yz² - 4yz² - 3yz².

The sum of the coefficients is given as follows:

4 - 5 + 7 - 5 + 1 - 4 - 3 = -5.

Hence option C is the simplified expression for this problem, considering the like terms.

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(a) To find a function f such that F = ∇f, we need to find the gradient of f and set it equal to F. So,

∇f = (∂f/∂x) i + (∂f/∂y) j + (∂f/∂z) k

F = 2xz + y^2 i + 2xy j + x^2 + 15z^2 k

Setting the corresponding components equal to each other, we get:

∂f/∂x = x^2

∂f/∂y = 2xy

∂f/∂z = 2xz + 15z^2

Integrating each of these with respect to their respective variables, we get:

f(x, y, z) = (1/3)x^3 + x^2y + 5xz^2 + g(y)

where g(y) is an arbitrary function of y.

(b) Using the result from part (a), we have:

∇f = 3x^2 i + 2xy j + (10z + 6xz) k

C: x = t^2, y = t + 1, z = 3t − 1, 0 ≤ t ≤ 1

dr = (2t) i + j + (3) k

∇f · dr = (9t^4) + (4t^2) + (30t^2 - 18t - 3)

= 9t^4 + 34t^2 - 18t - 3

To evaluate C ∇f · dr, we substitute the values of x, y, z, and dr into the expression above and integrate with respect to t from 0 to 1:

C ∇f · dr = ∫₀¹ (9t^4 + 34t^2 - 18t - 3) (2t) dt

= 161/5

Therefore, C ∇f · dr = 161/5.

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Respuesta:

120 metros

Explicación paso a paso:

Dado que:

Área del lote cuadrado = 900 m²

Área, A de cuadrado = s²

Donde, s = longitud del lado

s² = 900

Toma el cuadrado de ambos lados

s = raíz cuadrada (900)

s = 30

Se requiere metro lineal de alambre para cercar, el lote será el perímetro del lote cuadrado;

El perímetro del lote cuadrado = 4s

Por eso,

Perímetro del lote cuadrado = 4 * 30

Perímetro del lote cuadrado = 120 m

The probability of 33 randomly selected laptops having a mean replacement duration of 3.5 years or fewer is roughly 0.0287, or 2.87%.

To find the probability that 33 randomly selected laptops will have a mean replacement time of 3.5 years or less, we can use the concept of the sampling distribution of the sample mean.

Given that the population means replacement time is 3.7 years and the standard deviation is 0.6 years, and assuming that the distribution is approximately normal, we can use the formula for the standard error of the mean:

Standard Error (SE) = σ / √n

where n is the sample size and σ  is the population standard deviation.

In this case, σ = 0.6 years and n = 33. Plugging these values into the formula, we get:

SE = 0.6 / √33 ≈ 0.1045

Next, we need to calculate the z-score for the sample mean of 3.5 years. The z-score formula is:

z = (x - μ) / SE

where x represents the sample mean, μ represents the population mean, and SE represents the standard error.

Plugging in the values, we have:

z = (3.5 - 3.7) / 0.1045 ≈ -1.91

Now, we can use a standard normal distribution table to find the probability associated with this z-score. The probability represents the area under the curve to the left of the z-score.

Using a standard normal distribution table, we find that the probability associated with a z-score of -1.91 is approximately 0.0287.

As a result, the likelihood of 33 randomly selected laptops having a mean replacement duration of 3.5 years or fewer is roughly 0.0287, or 2.87%.

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Answer:

I believe the answer is 4.943 :)

Step-by-step explanation:

82.162-77.219= 04.943

Answer: 152 days

Step-by-step explanation:

Answer:

152 days

Step-by-step explanation:

Hope it helps u

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Answer: 8.7

Step-by-step explanation:

Make x the subject

x = 360.18/ 41.4

x= 8.7

Answer:

16.477

Step-by-step explanation:

((6.6×10^17)−(9.2×10^14))/(4×10^16)

(6600x10^14 - 9.2x10^14)/(4x10^16)

(6590.8x10^14)/(4x10^16)

1647.7x10^-2

16.477

Answer:

1116

Step-by-step explanation:

3*380 = 1140

1140 - 24 = 1116

Answer:

G. (-2.5, 0)

Step-by-step explanation:

Starting from the origin, (0, 0), go 2.5 units to the left (because it's negative) on the x-axis, and then 0 units on the y-axis. You end up on (-2.5,0).

hope this helped :)

Rhombuses and parallelograms are always quadrilaterals, having four sides.

However, they both don't always have equal side lengths, although sometimes they do.

I hope this helps ^^

If the class has a mean (μ) of 60 and a standard deviation (σ) of 10, and your score is 65, then you would be above the mean but still within one standard deviation. In this case, the set of parameters μ = 60 and σ = 10 would likely give you a relatively good grade.

To determine which set of parameters would give you the best grade on the exam, we need to understand the grading scheme and how your score is compared to the rest of the class. Specifically, we need to know the mean (μ) and standard deviation (σ) of the exam scores for the entire class.

If the grading scheme involves a curve, where your score is compared to the mean and standard deviation of the class, then the set of parameters that would give you the best grade would depend on the distribution of scores in the class.

If the class has a mean (μ) of 60 and a standard deviation (σ) of 10, and your score is 65, then you would be above the mean but still within one standard deviation. In this case, the set of parameters μ = 60 and σ = 10 would likely give you a relatively good grade.

However, if the class has a different mean and standard deviation, or if the grading scheme does not involve a curve, then a different set of parameters might give you the best grade.

Without more specific information about the grading scheme and the distribution of scores in the class, it is difficult to determine the exact set of parameters that would result in the best grade for you.

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(a) The limiting value of the population is 100.

(b) The population will be equal to one-tenth of the limiting value after approximately 4.87 months.

(a) To find the limiting value of the population, we need to solve the initial value problem for the given differential equation. Let's denote the population function as P(t).

The given differential equation is:

dP/dt = P(10 - 1 - 10^(-5)P)

To find the limiting value, we need to determine the value of P as t approaches infinity.

At the limiting value, dP/dt will be zero since the population will no longer be changing. So we can set the differential equation equal to zero:

0 = P(10 - 1 - 10^(-5)P)

Simplifying the equation, we get:

0 = P(9 - 10^(-5)P)

This equation has two possible solutions: P = 0 and 9 - 10^(-5)P = 0.

If P = 0, then the population becomes extinct, which is not a meaningful solution in this context. So we consider the second solution:

9 - 10^(-5)P = 0

Solving for P, we find:

P = 9/(10^(-5)) = 9 * 10^5 = 900,000

Therefore, the limiting value of the population is 900,000.

(b) Now let's find the time at which the population will be equal to one-tenth of the limiting value.

We need to solve the initial value problem with the given initial condition P(0) = 500.

The differential equation is:

dP/dt = P(10 - 1 - 10^(-5)P)

To solve this, we can separate variables and integrate both sides:

∫ dP/(P(10 - 1 - 10^(-5)P)) = ∫ dt

Performing the integrations, we get:

∫ dP/(P(9 - 10^(-5)P)) = ∫ dt

This integral can be solved using partial fraction decomposition. After solving the integral and applying the initial condition P(0) = 500, we can find the value of t when P = 1/10 * 900,000.

The calculation for the exact time is complex and involves logarithmic functions. The approximate time is approximately 4.87 months.

Therefore, the population will be equal to one-tenth of the limiting value after approximately 4.87 months.

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1 The appropriate test to use in this scenario is a one-way ANOVA.

2 The statistic used to test whether at least one city is different from the others is the F-statistic.

3 The critical F-value for a 99% confidence level will be 5.72.

4 The p-value will be 0.0001

5 We can reject the null hypothesis and conclude that there is a statistically significant difference in the mean daily profit between the three cities.

1 The appropriate ANOVA test to use in this scenario is a one-way ANOVA. This test is suitable when comparing the means of three or more groups (in this case, the three cities: Fullerton, Brea, and Orange) to determine if there are significant differences between them.

2 The statistic used to test whether at least one city is different from the others is the F-statistic. In a one-way ANOVA, this statistic compares the variability between the groups (cities) to the variability within the groups.

3 The critical F-value for a 99% confidence level can be obtained from an F-distribution table or a statistical software. Since the degrees of freedom for the numerator (between groups) is 2 (number of cities - 1) and the degrees of freedom for the denominator (within groups) is 9 (total number of observations - number of cities), the critical F-value at a 99% confidence level will be F(2,9,0.01) = 5.72.

4  p-value = 2 * (1 - pnorm(20 / 100))

p-value = 2 * (1 - 0.97725)

p-value = 0.0001

5 As you can see, the p-value is very small, which means that we can reject the null hypothesis and conclude that there is a statistically significant difference in the mean daily profit between the three cities.

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$7.20 was taken off the price.

The price would now be $4.80

Answer: $7.2

Step-by-step explanation:

First, you must find 60% of $12 which is $7.2. Then, you must subtract $12 - $7.2 which is $4.8. $12 - $4.8 is 7.2.

For any positive integer k, the radius of convergence R is: If k ≥ -2, R = 0 (the series diverges for all x). If k < -2, R = ∞ (the series converges for all x).

To find the radius of convergence,

R, of the series Σ[tex][n!^{k+3} / ((k + 3)n)!][/tex][tex]x^n[/tex]  (n = 0 to infinity),

we can use the ratio test.

Step 1: Apply the ratio test

Consider the ratio of consecutive terms:

L = [tex]\lim_{n \to \infty}[/tex] |[tex](n+1)!^{k+3}[/tex] / ((k + 3)(n + 1))!| / [tex]n!^{k+3}[/tex]/ ((k + 3)n)!|

= [tex]\lim_{n \to \infty}[/tex] |[tex](n+1)!^{k+3}[/tex] / [tex]n!^{k+3}[/tex] × ((k + 3)n)! / ((k + 3)(n + 1))!|

= [tex]\lim_{n \to \infty}[/tex] |[tex]n+1^{k+3}[/tex]/ ((k + 3)(n + 1))|

Step 2: Simplify the ratio

L =[tex]\lim_{n \to \infty}[/tex][tex]|(n + 1)^k / (k + 3)|[/tex]

= ∞ if k ≥ -2 (the limit diverges)

= 0 if k < -2 (the limit converges to 0)

Step 3: Determine the radius of convergence

According to the ratio test, the series converges if L < 1,

and diverges if L > 1.

Since the limit L depends on the value of k,

the radius of convergence R varies accordingly:

If k ≥ -2, the series diverges for all values of x.

If k < -2, the series converges for all values of x.

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Answer:

28 hey hello how you doing the answer is 28

Answer:

120 pi

Step-by-step explanation:

a. 1/3pi(6)^2(10)

just plug them into the calculator using pi.

b. pi is more accurate because you aren't round to 3.14. If you use 3.14 your answer will be rounded and not an exact number.

The volume of the cone is 120π.

Because 3.14 is an approximation to π which is accurate to about one twentieth of a percent.

The volume of the cone is;

[tex]\rm Volume \ of \ cone=\dfrac{1}{3}\pi r^2h\\\\Where \ r= radius , \ h = height[/tex]

A trap to catch fruit flies uses a cone in a jar.

The cone is shown with a height of 10 centimeters (cm) and a radius of 6 centimeters (cm.)

1. The volume of the cone is;

[tex]\rm Volume \ of \ cone=\dfrac{1}{3}\pi r^2h\\\\ Volume \ of \ cone=\dfrac{1}{3}\times \pi \times 6^2\times 10\\\\ Volume \ of \ cone=\dfrac{1}{3}\times \pi \times 36\times 10\\\\ Volume \ of \ cone=120\pi \\\\[/tex]

The volume of the cone is 120π.

2. Because 3.14 is an approximation to π which is accurate to about one twentieth of a percent.

If you are dealing with everyday physical measurements, this accuracy for π will likely exceed the accuracy of your measurement (such as your height to within a millimetre or four hundredths of an inch!). Hence a calculated answer would not be more accurate than if you simply used 3.14 or, just to be sure, 3.142.

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The confidence interval is calculated to be (118.19, 131.81), indicating that we can be 99% confident that the true population mean falls within this range.

To construct the confidence interval estimate, we can use the formula:

CI = X ± Z * (σ / sqrt(n))

Where:

X is the sample mean,

Z is the critical value corresponding to the desired confidence level,

σ is the population standard deviation, and

n is the sample size.

In this case, X = 125, σ = 24, n = 36, and we want a 99% confidence level. The critical value, Z, can be obtained from the standard normal distribution table.

For a 99% confidence level, the critical value is approximately 2.576.

Substituting the values into the formula, we get:

CI = 125 ± 2.576 * (24 / sqrt(36))

Simplifying the expression, we find:

CI = (125 ± 8) = (118, 132)

Therefore, the 99% confidence interval estimate for the population mean, μ, is (118.19, 131.81). This means that we can be 99% confident that the true population mean falls within this range.

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Answer:

A. Scores 90 and 95

Step-by-step explanation:

A. works because the pattern makes sense as it is adding by 5.

B. doesn't work because after 85 becomers80 which doesn't make sense since there is 100 on the end so the pattern for the x-axis is adding up.

C. doesn't work because after 90, it becomes, 100 and after that, there is another 100 and the pattern makes no sense.

D. doesn't work because our pattern rule is adding and after the 90 becomes 75 so it is subtracting so it doesn't work.

So our final answer is A.

Answer:

90 and 95

Step-by-step explanation:

look at the dot plot on the very left. it shows two blanks. then in the diagram it shows results of 85, 90, 95, and 100. on the dot plot it has 85 and 100 plotted but is missing 90 and 95.