Write an equation for the following verbal expression: the difference between twice a number and nine is 17.

Using the rule of 70, we can estimate that it will take approximately 35 years for the population of Sudan to double with an estimated annual growth rate of 2 percent,since 70/2 = 35.

Rate refers to the measure of change in one quantity with respect to another over a given time period. It can be expressed as a ratio or percentage and is commonly used in finance, economics, science, and mathematics.

Percent, denoted by the symbol "%", means "per hundred" and is used to express a fraction or ratio in relation to 100. It is commonly used in business, finance, and statistics to represent changes, growth rates, and other relative measures.

According to the given information:

If a country's population is growing at a constant rate, the time it takes to double its population can be estimated using the rule of 70. The rule of 70 states that you can estimate the number of years it will take for a population to double by dividing 70 by the annual growth rate as a percentage.

In the case of Sudan, with an estimated annual growth rate of 2 percent, it would take approximately 35 years for the population to double. This is calculated by dividing 70 by 2, which equals 35. Therefore, if the growth rate remains constant, Sudan's population is expected to double in approximately 35 years

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a. Based on the data provided, the frequency distribution for question 1 (Gender) is as follows:

Gender
1 - Male: 1
2 - Female: 2

The frequency distribution for question 2 (Ethnicity) is as follows:

Ethnicity
1 - White: 1
2 - Hispanic/Latino: 0
3 - African American/Black: 1
4 - Asian/Pacific Islander: 1

The mean and standard deviation for question 3 (Age) are 20.33 and 1.25 respectively. The mean and standard deviation for question 4 (GPA) are 3.49 and 0.41 respectively.

b. Participants

Method: A survey was conducted to collect data on participants' demographic information, depression levels, and productivity.

Participants: The sample consisted of 3 participants, 2 females, and 1 male, with ages ranging from 19 to 22 years old (M = 20.33, SD = 1.25). The ethnicities represented in the sample were White (n = 1), African American/Black (n = 1), and Asian/Pacific Islander (n = 1). The participants' GPAs ranged from 3.0 to 3.9 (M = 3.49, SD = 0.41).

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The general term of the sequence is given by an = (-1)ⁿ⁺¹*2ⁿ/3ⁿ⁻¹, where n is the term number starting from 1.

This formula is obtained by observing that each term is obtained by multiplying the previous term by -2/3 and changing its sign. This pattern can be represented mathematically using exponents, which results in the given formula.

To find the general formula for a sequence, we need to identify the pattern in the given terms. Here, we observe that each term is obtained by multiplying the previous term by -2/3 and changing its sign. This means that the sequence alternates between positive and negative values, and the magnitude of each term is increasing as n increases.

To represent this pattern mathematically, we can use the concept of exponents. Specifically, we can write the numerator of each term as 2ⁿ⁻¹, since the magnitude of each term is increasing by a factor of 2.

Similarly, we can write the denominator of each term as 3ⁿ⁻¹, since the magnitude of each term is decreasing by a factor of 3. Finally, we need to account for the alternating signs of the terms, which is done using the factor.

Putting all these pieces together, we get the formula an = (-1)ⁿ⁺¹*2ⁿ/3ⁿ⁻¹. This formula gives us the nth term of the sequence, assuming that the pattern of the first few terms continues. We can use this formula to find any term of the sequence, without having to compute all the previous terms.

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The slope of the tangent line at x = 0.4 is approximately 53.96.

To find y', we will use the power rule of differentiation, which states that for any constant n, d/dx(x^n) = nx^(n-1).

So, [tex]y = (x^3 + 3x + 4)^4[/tex]

[tex]y' = 4(x^3 + 3x + 4)^3 * (3x^2 + 3)[/tex]

Now, to find the slope of the tangent line at x = 0.4, we need to evaluate y' at x = 0.4.

[tex]m = y'(0.4) = 4(0.4^3 + 3(0.4) + 4)^3 * (3(0.4)^2 + 3)[/tex]

m = 53.96 (rounded to 1 decimal place)

Therefore, the slope of the tangent line at x = 0.4 is approximately 53.96.

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The process of rewriting an expression such as -3x²+6x+14 in the form (X+a)² -b is known as completing the square.

An algebraic trick known as "completing the square" is used to change quadratic expressions into a certain form that is simpler to factor or solve for the variable.

These steps are used to square a quadratic expression of the type ax² + bx + c. If the coefficient of x² is not equal to 1, divide both sides of the equation by a.

The equation's constant term (c/a) should be moved to the right side.

To the left side of the equation, add and subtract (b/2a)². The phrase "completing the square" is used to describe it. Consider the left side of the equation to be a perfect square trinomial and factor it.

Find x by taking the square root of either side of the equation.

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To answer this question, we need to use the normal distribution formula and the z-score table.

Therefore, the 4% of items with the shortest lifespan will last less than 1.5 years.

First, we need to find the z-score associated with the 4th percentile (since we are looking for the 4% of items with the shortest lifespan).

Using the z-score table, we find that the z-score associated with the 4th percentile is -1.75.

Next, we use the formula:

z = (x - μ) / σ

where z is the z-score, x is the value we are trying to find (the lifespan we want to know), μ is the mean lifespan (3.1 years), and σ is the standard deviation (0.9 years).

Plugging in the values we know:

-1.75 = (x - 3.1) / 0.9

Solving for x:

x - 3.1 = -1.575

x = 1.525

Therefore, the 4% of items with the shortest lifespan will last less than 1.5 years (to one decimal place).
To determine the lifespan for the bottom 4% of items, we will use the mean, standard deviation, and z-score. The mean lifespan is 3.1 years, and the standard deviation is 0.9 years. Using a z-score table, we find that the z-score for the 4% percentile is approximately -1.75.

Now, we can use the formula:
Lifespan = Mean + (z-score × Standard Deviation)
Lifespan = 3.1 + (-1.75 × 0.9)

Lifespan ≈ 1.5 years

Therefore, the 4% of items with the shortest lifespan will last less than 1.5 years.

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To find the maximum value of the given function, we need to take the derivative of the function and set it equal to zero.

y = [tex]x^{3}[/tex] + 3[tex]x^{2}[/tex]- 45x + 24
y' = 3[tex]x^{2}[/tex] + 6x - 45

Setting y' equal to zero:
3[tex]x^{2}[/tex]+ 6x - 45 = 0

Using the quadratic formula, we get:
x = (-6 ± [tex]\sqrt{( 6^{2} - 4(3)(-45)}[/tex] / (2(3))
x = (-6 ± 18) / 6

x = -3, 5

To determine which value of x gives the maximum value of the function, we need to evaluate the second derivative of the function at each critical point.

y'' = 6x + 6

When x = -3:
y'' = 6(-3) + 6 = -12

When x = 5:
y'' = 6(5) + 6 = 36

Since the second derivative at x = 5 is positive, we know that x = 5 gives the maximum value of the function. Therefore, the maximum value of the function is:

y(5) = [tex]5^{3}[/tex] + 3([tex]5^{2}[/tex]) - 45(5) + 24
y(5) = 124

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The maximum value of y is 100, and it occurs when x = -4.

The maximum value for the given function y = x^3 + 3x^2 - 45x + 24. To find the maximum, we'll need to find the critical points of the function by taking the derivative and setting it equal to zero.

1. Find the derivative of the function with respect to x: y' = 3x^2 + 6x - 45
2. Set the derivative equal to zero and solve for x: 3x^2 + 6x - 45 = 0
3. Factor the quadratic equation: x = (-6 ± sqrt(6^2 - 4(3)(-45))) / (2(3))
4. Further factor the quadratic:  (-6 ± 18) / 6
5. Solve for x: x = -4 or x = 3

Now, we need to determine if these points are maxima or minima by using the second derivative test:

6. Find the second derivative of the function: y'' = 6x + 6
7. Evaluate the second derivative at x = -4 and x = 3:
  y''(-5) = 6(-4) + 6 = -18 (negative value indicates a maximum)
  y''(3) = 6(3) + 6 = 24 (positive value indicates a minimum)

Therefore, we have a maximum at the value of x = -4.

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The distribution of means obtained by taking all possible samples of a specific size from a population and computing the means for each sample is called the sampling distribution of the sample mean.

The sampling distribution of the sample mean is a theoretical probability distribution that describes the possible values of the sample means that can be obtained from the population. The shape of the sampling distribution of the sample mean is approximately normal if the sample size is large enough (typically, greater than 30) and the population is normally distributed, regardless of the shape of the population distribution. This is known as the Central Limit Theorem.

The sampling distribution of the sample mean is important in statistics because it allows us to make inferences about the population based on the characteristics of the sample. Specifically, we can use the sampling distribution of the sample mean to estimate the population mean and to calculate confidence intervals for the population mean. We can also use the sampling distribution of the sample mean to test hypotheses about the population mean.

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[tex]\textit{area of a triangle}\\\\ A=\cfrac{1}{2}bh ~~ \begin{cases} b=base\\ h=height\\[-0.5em] \hrulefill\\ h=\frac{1}{3}\\[1em] A=\frac{5}{36} \end{cases}\implies \cfrac{5}{36}=\cfrac{1}{2}\cdot b\cdot \cfrac{1}{3}\implies \cfrac{5}{36}=\cfrac{b}{6} \\\\\\ 30=36b\implies \cfrac{30}{36}=b\implies \cfrac{5}{6}=b[/tex]

The value of angle x is 40^o

A given set of angles are said to be supplementary if and only if on addition of the measures of the angles, it forms 180 degrees. This is the measure of an angle on a straight line.

In the given diagram, to find the value of x;

Triangle ABD is an isosceles, thus base angles are equal. So that;

ABD ≅ ADB = 25^o

Thus,

<ABD + x + 115 = 180        (definition of supplementary)

25 + x + 115 = 180

140 + x = 180

x = 180 - 140

 = 40

x = 40^o

Therefore, the value of x is 40^o.

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There are 43 integers in the range from 92 to 734 that are divisible by 15. The probability that a random integer from 92 to 734 is divisible by 15 is approximately 0.067.

To find the probability that a random integer from 92 to 734 is divisible by 15, we need to first determine the total number of integers in this range. The difference between 734 and 92 is 642, but since we want to include both endpoints, we need to add 1 to this difference. So there are a total of 643 integers in the range from 92 to 734. Next, we need to determine how many of these integers are divisible by 15. To do this, we need to find the smallest multiple of 15 that is greater than or equal to 92, and the largest multiple of 15 that is less than or equal to 734. The smallest multiple of 15 that is greater than or equal to 92 is 105 (which is 7 times 15), and the largest multiple of 15 that is less than or equal to 734 is 720 (which is 48 times 15).

So the integers from 105 to 720 (inclusive) are all divisible by 15. To count the number of integers in this range, we can divide the difference between 720 and 105 by 15, and add 1 to account for the first multiple of 15:
(720 - 105) / 15 + 1 = 43
Therefore, there are 43 integers in the range from 92 to 734 that are divisible by 15.

To find the probability that a random integer from this range is divisible by 15, we can divide the number of integers that are divisible by 15 (43) by the total number of integers in the range (643):
43 / 643 ≈ 0.067
So the probability that a random integer from 92 to 734 is divisible by 15 is approximately 0.067.

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Answer:

Yes that answer is correct

Step-by-step explanation:

Im literally god

The probability that either the die will come up 2 or 3, or the coin will land heads up is 5/6.

To find the probability of either event happening, we can add the probabilities of each individual event happening and then subtract the probability of both events happening together (since that would be counted twice).

The probability of the die coming up 2 or 3 is 2/6, or 1/3, since there are two out of six equally likely outcomes that meet this condition.

The probability of the coin landing heads up is 1/2, since there are two equally likely outcomes (heads or tails).

To find the probability of both events happening together, we can multiply the probabilities of each event: (1/3) * (1/2) = 1/6.

So, the probability of either the die coming up 2 or 3, or the coin landing heads up is:

(1/3) + (1/2) - (1/6) = 5/6

Therefore, the probability is 5/6.

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The complete sentence is,

An inference procedure is ROBUST if the confidence level or p-value doesn't change much if the assumptions are ''Violated''.

Given that;

To find An inference procedure is ROBUST if the confidence level or p-value doesn't change much if the assumptions.

Now, We know that;

Robust inference is inference that is insensitive to (smaller or larger) deviations from the assumptions under which it is derived.

Hence, We get;

An inference procedure is ROBUST if the confidence level or p-value doesn't change much if the assumptions are ''Violated''.

Hence, Option 4 is true.

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The indefinite integral of [tex]\int\limits x^{(-1/6)} dx[/tex] is [tex]6x^{(5/6) }+ C[/tex] where C is a constant of integration, under the given condition that no limits are provided since its a indefinite integral.

So here we have to proceed by performing a set of calculations that fall under the criteria provided by the principles of indefinite integral
The given indefinite integral is [tex]\int\limits x^{(-1/6)} dx[/tex]
Evaluating the form
[tex]\int\limits x^{(-1/6)} dx[/tex]
[tex]= \int\limits 1/x^{(1/6)} dx[/tex]
[tex]= 6x^{(5/6)} + C[/tex] here C is constant concerning the integration.

Indefinite integral refers to the form expression Which has no limits that projects the family of function that differentiate by a constant.

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The distribution of X, which represents the number of words in a randomly selected romance novel, can be described as a normal distribution with a mean (μ) of 64,143 and a standard deviation (σ) of 17,337. In notation form, it is written as: X ~ N(64,143, 17,337).

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The probability that on a randomly selected trip, the number of whales seen is 3 is 22.4%.

To find the probability that on a randomly selected whale watch trip in March, the number of whales seen is 3, we'll use the Poisson distribution with a mean of 4.3. The formula for the Poisson probability is:
P(X=k) = (e^(-λ) * (λ^k)) / k!
Where X is the number of whales seen, k is the desired number of whales (in this case, 3), λ is the mean (4.3), and e is the base of the natural logarithm (approximately 2.71828).
Plugging in the values, we get:
P(X=3) = (e^(-4.3) * (4.3^3)) / 3!
P(X=3) = (0.01353 * 79.507) / 6
P(X=3) ≈ 0.22404
So, the probability of seeing 3 whales on a randomly selected trip is approximately 22.4%.

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Answer:

Step-by-step explanation:

The Statement asked  based on the Variable is , True.

A variable is a symbol or letter that represents a quantity or value that can vary or change in a given context or problem. Variables can be used to express relationships between quantities or to describe patterns or trends in data. They can be either dependent or independent, depending on the context of the problem. An independent variable is a variable that is changed or controlled by the experimenter or observer, while a dependent variable is a variable that is affected or influenced by the independent variable.

True.

A continuous random variable is one that can take on any value within a certain range or interval, and its value is determined by measurement. Examples of continuous random variables include height, weight, temperature, and time, where the values can be any real number within a certain range.

In contrast, a discrete random variable can only take on certain values, typically integers, and its value is determined by counting. Examples of discrete random variables include the number of heads in a series of coin tosses, the number of cars sold in a day, and the number of defects in a batch of products.

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The probability of C and D being mutually exclusive is not possible because they occur  independently  with a probability of 0.18.

The formula for evaluating the probability of independent events is

[tex]P(A and B) = P(A) * P(B)[/tex]

Then

P(A) and P(B) =  probabilities of events A and B respectively.

For the given case,

we keep two independent events C and D with probabilities

Here,

P(C) = 0.3

P(D) = 0.6

Then, the evaluated  probability of both events occurring together is

[tex]P(C and D) = P(C) * P(D)[/tex]

          [tex]= 0.3 * 0.6[/tex]

          = 0.18

Then, C and D are not mutually exclusive events the reason behind it is  they can occur independently of each other with a probability of 0.18.

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Using a linear approximation, the value of f(2.9) is approximately 1.6.

To find an approximation to f(2.9) using a linear approximation, we can use the equation for a tangent line:

L(x) = f(a) + f'(a)(x - a)

Here, f(3) = 2, f'(3) = 4, and a = 3. We want to approximate f(2.9), so x = 2.9. Plugging in these values, we get:

L(2.9) = 2 + 4(2.9 - 3)

L(2.9) = 2 + 4(-0.1)

L(2.9) = 2 - 0.4

L(2.9) = 1.6

So, using a linear approximation, the value of f(2.9) is approximately 1.6.

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The antiderivative of   [tex]f(x) = 8x^9 - 3x^6+ 12x^3[/tex] is:  

[tex]F(x) = 4/5 x^{10} - 3/7 x^7+ 3x^4+ C[/tex]

To discover the antiderivative of f(x) = 8x⁹ - 3x⁶ + 12x³, we want to discover a function F(x) such that F'(x) = f(x).

The use of the power rule of integration, we are able to integrate each term of the feature as follows:

[tex]∫(8x^9)dx = (8/10)x^{10}+ C_1 = 4/5 x^{10} + C_1[/tex]

[tex]∫(-3x^6)dx = (-3/7)x^7 + C_2[/tex]

[tex]∫(12x^3)dx = (12/4)x^4+ C_3= 3x^4 + C_3[/tex]

Where the[tex]C_1, C_2, and C_3[/tex] are constants of integration.

Therefore, the antiderivative of [tex]f(x) = 8x^9 - 3x^6 + 12x^3 is:[/tex]

[tex]F(x) = 4/5 x^{10} - 3/7 x^7+ 3x^4+ C[/tex]

Wherein [tex]C = C_1 + C_2 + C_3[/tex] is the steady of integration.

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The influence of a data point depends on its location in the predictor space, its leverage, and its contribution to the fit of the model.

a) An outlier is a data point that deviates significantly from the other observations in a dataset, and it can be either due to measurement errors, natural variability, or genuine extreme observations. On the other hand, high leverage data points are observations that have extreme values on one or more predictor variables, and they have the potential to exert a significant influence on the estimation of regression coefficients.

b) Yes, a data point that is flagged as an outlier can also have high leverage. This occurs when an observation has extreme values on both the response variable and one or more predictor variables.

c) Not necessarily. While outliers and high leverage data points can impact the results of a statistical analysis, they may not necessarily be influential. An influential data point is one that significantly affects the estimated coefficients and can change the results of a statistical analysis if removed. The influence of a data point depends on its location in the predictor space, its leverage, and its contribution to the fit of the model.

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Answer:

[tex]r = \sqrt{ {(6 - 2)}^{2} + {(1 - ( - 3))}^{2} } [/tex]

[tex]r = \sqrt{ {4}^{2} + {4}^{2} } = \sqrt{16 + 16} = \sqrt{32} [/tex]

So the equation of the circle is

[tex] {(x - 2)}^{2} + {(y + 3)}^{2} = 32[/tex]

The length AC of the missing sides of the given triangle above would be;

AC= 15.6cm

AB = 9cm

To calculate the length of the missing sides of the triangle, the sin rule of used such as;

a/sinA = b/sinB

a = 18

A = 90°

b =AB= ?

B = 30°

That is:

18/sin90 = b/sin 30°

b = 18×0.5/1

= 9

Using Pythagorean formula;

c² = a² +b²

18² = 9²+b²

b² = 324-81

b² = 243

b = √243

= 15.6cm

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The value of z0 that satisfies P(z ≤ z0) = 0.2348 is 0.73.

Firstly, it's important to note that a standard normal distribution is a normal distribution with a mean of 0 and a standard deviation of 1. This means that all standard normal random variables have the same distribution, regardless of the mean and standard deviation of the original distribution. The standard normal distribution is often used in statistical analysis because it simplifies calculations and allows for easier comparisons between different sets of data.

Now, let's look at the given probability: P(z ≤ z0) = 0.2348. This probability tells us the likelihood of a standard normal random variable z being less than or equal to a certain value z0. To find the value of z0 that satisfies this probability, we can use a standard normal distribution table, which lists the probabilities for different values of z.

Using the table, we can find the closest probability to 0.2348, which is 0.2357. This probability corresponds to a z-value of 0.73

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Complete Question:

Find a value of the standard normal random variable z, call it zo, such that the following probabilities are satisfied.

a. P(z ≤ z0) = 0.2348

The maximum value is 0 at points (±3, 0) and the minimum value is -12 at points (0, ±3).

To solve this problem using LaGrange Multipliers, let's define the given function and constraint:

f(x, y) = x^2 * y^2 - 4y
g(x, y) = x^2 + y^2 - 9

Now, introduce the LaGrange Multiplier λ (lambda) and find the gradient of both f and g:

∇f(x, y) = (2xy^2, 2x^2y - 4)
∇g(x, y) = (2x, 2y)

The LaGrange Multiplier method states that for optimal points (x, y), ∇f(x, y) = λ∇g(x, y). So, we have the following equations:

2xy^2 = λ(2x)   -> (1)
2x^2y - 4 = λ(2y)   -> (2)

From equation (1), we get:

xy^2 = λ

Substitute λ in equation (2):

2x^2y - 4 = 2y(xy^2)

Now, solve for x and y using the constraint g(x, y) = 0:

x^2 + y^2 = 9

By solving the system of equations, you will find four critical points: (±3, 0) and (0, ±3). Evaluate f(x, y) at these points:

f(±3, 0) = 0
f(0, ±3) = -12

Thus, the maximum value is 0 at points (±3, 0) and the minimum value is -12 at points (0, ±3).

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The solution of given expression having scientific notation is 40,000 by using power formula

Scientific notation is a way of writing numbers that are either very large or very small using powers of 10. It is expressed as a number between 1 and 10 multiplied by a power of 10.

An expression is a mathematical statement that contains numbers, variables, and/or operators. It can be a single number, a combination of numbers and operators, or a combination of numbers, variables, and operators.

To evaluate this expression, we can use the rules of scientific notation to multiply the numbers and then simplify the result.

(4.8 x [tex]10^{8}[/tex]) / (1.2 x [tex]10^{4}[/tex]) x (2.2 x [tex]10^{-6}[/tex])

= (4.8 / 1.2) x [tex]10^{8-4-6+6}[/tex] (multiply the numbers and add the exponents)

= 4 x [tex]10^{4}[/tex]

= 40,000

Therefore, the value of the expression is 40,000.

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a. σ = 5√5

b. The value of K is 30.75 grams.

c. The values of L1 and L2 are 268.25 grams and 331.75 grams, respectively.

(a) We know that the mean weight of a fruit cup is 300 grams, which is

the sum of the mean weights of strawberries and blueberries. Thus, we

have:

160 + μ = 300

Solving for μ, we get:

μ = 140

Next, we can use the formula for the variance of the sum of independent

random variables to find the variance of the weight of a fruit cup:

Var(weight) = Var(strawberries) + Var(blueberries)

The variance of strawberries is given as 10^2 = 100, and the variance of

blueberries is σ^2. We know that the variance of the weight of a fruit cup

is[tex]15^2[/tex]= 225. Thus, we have:

100 + σ^2 = 225

Solving for σ, we get:

σ = 5√5

(b) The middle 96.6% of the fruit cups corresponds to the interval between the 2.17th and 97.83rd percentiles of the distribution of fruit cup weights. We can use the standard normal distribution to find the z-scores corresponding to these percentiles:

z1 = invNorm(0.0217) ≈ -2.05

z2 = invNorm(0.9783) ≈ 2.05

Using the formula for the standard error of the mean, we can find the value of K:

K = z2 × (15 / √n)

We know that the mean weight of a fruit cup is 300 grams, so n = 1. Plugging in the values, we get:

K = 2.05 × (15 / √1) = 30.75

(c) We can use the mean and standard deviation values found in part (a) to find the z-scores corresponding to the 2.17th and 97.83rd percentiles:

z1 = invNorm(0.0217) ≈ -2.05

z2 = invNorm(0.9783) ≈ 2.05

Using the z-scores and the formula for the standard error of the mean, we can find the values of L1 and L2:

L1 = 300 + z1 × (15 / √1) = 268.25

L2 = 300 + z2 × (15 / √1) = 331.75

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Answer: -2/3

Step-by-step explanation: