Assume g and h are whole numbers, and g < h. Which expression has the least
value?

The differential of the function Z is -4e⁻⁴ˣcos(4πt) - 4πsin(4πt)e⁻⁴ˣ

To find the differential function of Z = e⁻⁴ˣ cos(4πt), we will use the product rule of differentiation. The product rule states that the derivative of the product of two functions is equal to the first function multiplied by the derivative of the second function plus the second function multiplied by the derivative of the first function.

Let's apply the product rule to our function Z:

First, we differentiate the first function e⁻⁴ˣ with respect to x. The derivative of e⁻⁴ˣ is -4e⁻⁴ˣ.

Next, we differentiate the second function cos(4πt) with respect to t. The derivative of cos(4πt) is -4πsin(4πt).

Therefore, the differential function of Z is:

dZ/dt = -4e⁻⁴ˣcos(4πt) - 4πsin(4πt)e⁻⁴ˣ

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Answer:

y- coordinate = 4

Step-by-step explanation:

consider a right triangle formed by the x- axis, the radius (hypotenuse) of 5 and a vertical line drawn to the x- axis from the point ( 3, - )

using Pythagoras' identity in the right triangle

3² + y² = 5²

9 + y² = 25 ( subtract 9 from both sides )

y² = 16 ( take square root of both sides )

y = [tex]\sqrt{16}[/tex] = 4

the y- coordinate of the point is 4 , that is (3, 4 )

Answer:

y= coordinate 4

right triangle formed by the x- axis, the radius (hypotenuse) of 5 and a vertical line drawn to the x- axis from the point ( 3, - )

using Pythagoras' identity in the right triangle

3² + y² = 5²

9 + y² = 25 ( subtract 9 from both sides )

y² = 16 ( take square root of both sides )

y =

16

16

= 4

the y- coordinate of the point is 4 , that is (3, 4 )

Mean = 13

Variance = 36.2

There have been numerous cases of athletes being accused of using performance-enhancing drugs, and the numbers may vary depending on the sport, country, and time period in question.

Additionally, determining how many athletes were using or not using performance-enhancing drugs would require specific information on individual cases.

Regarding the percentage of athletes falsely accused of using performance-enhancing drugs, it is difficult to determine an accurate figure without examining each case in detail. False accusations may occur due to various reasons, such as flawed testing procedures or contaminated supplements, and the percentage of false accusations may vary depending on the situation.

If you have a specific case or sport in mind, I can try to provide you with more information on that topic.

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Answer: Option A) A 1-unit increase in the independent variable, number of lanterns, means a 5-unit increase in the dependent variable, total price.

The correct statement that describes the relationship between the number of lanterns purchased and the total price is Option A

A 5-unit increase in the independent variable, number of lanterns, means a 1-unit increase in the dependent variable, total price.

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This is because the graph shows a slope of 5/1, meaning that for every 5 lanterns purchased, the total price increases by 1 unit.

Answer:

26

Step-by-step explanation:

You just divide 133 and 5 and you get 26.6

Answer:

26

Step-by-step explanation:

[tex]\frac{133}{5}[/tex] = 26.6

You cannot buy part of a book, so you can buy 26 books

26 x 5 = 130.  You will have $3.00 left over.

Helping in the name of Jesus.

The most appropriate measure to compare the frequency of hypertension in white and non-white populations is the relative risk.

To compare the frequency of hypertension between two populations, the most appropriate measure is the prevalence ratio or prevalence odds ratio. The prevalence ratio is the ratio of the prevalence of hypertension in the exposed group (e.g., non-white population) to the prevalence of hypertension in the unexposed group (e.g., white population). It is a measure of the strength of association between the exposure and the outcome.

The prevalence odds ratio is the ratio of the odds of hypertension in the exposed group to the odds of hypertension in the unexposed group. It is a commonly used measure in epidemiology and can be used to estimate the relative risk of hypertension in the exposed group compared to the unexposed group.

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Formula:

98% Confidence Interval = (Mean - (2*Standard Deviation/√n), Mean + (2*Standard Deviation/√n))

98% Confidence Interval = ($775 - (2*$110/√45), $775 + (2*$110/√45))

98% Confidence Interval = ($735.56, $814.44)

Answer:

The area of Jack's rhombus is four times the area of Soshi's rhombus.

Step-by-step explanation:

First, calculate the area of Soshi's rhombus. Use the formula for the area of a rhombus:

[tex]A = bh=\\A=(12)(10)=\\A=120[/tex]

Now, we have the Soshi's rhombus is 120 [tex]in^2[/tex].

Jack's rhombus' base and height are double those of Soshi's; multiply each value by two.

[tex]12*2=24\\\\10*2=20[/tex]

Now, substitute the values in the formula for the area of a rhombus:

[tex]A = bh=\\A=(24)(20)=\\A=480[/tex]

Notice that 480 is 4 times 120.

This is because area is a two-dimensional measure (measured in units squared, like [tex]in^2[/tex]) while length is a one-dimensional measure (measured in regular units, like cm and in), The one-dimensional measures of Jack's rhombus are double those of Soshi's, and to translate this to the two-dimensional measure of area, square 2 (2 squared is 2 times 2).

2 squared is 4, so:

the area of Jack's rhombus is four times that of Soshi's.

1745 packages of tennis balls can be made from 5235 balls.

Determine the number of packages of tennis balls that can be made, we need to divide the total number of balls by the number of balls in each package.

5235 tennis balls and each package contain 3 balls.

Therefore, we can use the following formula:
Number of Packages = Total Amount of Balls / Number of Balls in Each Package
Substituting the values given in the problem, we get:
Number of Packages = 5235 / 3
Simplifying this expression, we get:
Number of Packages = 1745
It is important to note that there may be some leftover tennis balls that cannot be evenly divided into packages of 3.

Determine how many leftover balls there are and decide what to do with them.

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Natalie used for constructing the bar graph is type of writing utensil.

The representation of numerical data using rectangles (or bars) of equal width and varying height is known as a bar graph.

Depending on the distribution and nature of the data, various types of charts or graphs, such as scatter plots, histograms, or box plots, would typically be used to represent the mentioned quantitative variables, such as the price, volume, and weight of each writing utensil.

Natalie probably used the variable "type of writing utensil" for the bar graph based on the information provided. This is due to the fact that a bar graph is a type of chart that uses rectangular bars to represent categorical data. Each bar represents a distinct category or group.

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Option b is correct.

The null hypothesis in the chi-square test of hypothesis states that the two categorical variables under consideration are independent of each other, meaning that there is no relationship or association between them.

In the chi-square test of hypothesis, the null hypothesis states that the variables under consideration are independent. That is, there is no relationship between the two variables being studied.

The chi-square test is a statistical method used to determine if two categorical variables are associated or independent. Categorical variables are those that take on values that are categories or labels.

For example, gender (male or female) or educational level (high school, college, graduate school) are categorical variables.

The chi-square test determines the expected frequency of each category based on the null hypothesis, which assumes independence between the two variables.

The observed frequency is then compared to the expected frequency, and if the difference is significant enough, it suggests that the null hypothesis should be rejected, and the two variables are considered to be associated or dependent.

Therefore, in summary, the null hypothesis in the chi-square test of hypothesis states that the two categorical variables under consideration are independent of each other, meaning that there is no relationship or association between them.

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The given 3D model is a trapezoidal pyramid.

A pyramid is a 3D polyhedron having three or more triangle-shaped faces that meet above the base and a polygonal base. The point above the base is referred to as the apex, while the three sides are referred to as faces. The base and apex are joined to form a pyramid. To distinguish them from the base, the triangular sides are also also referred to as lateral faces. In a pyramid, the apex, which creates the triangle face, is connected to each base edge.

Hence, the given 3D model is a trapezoidal pyramid.

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According to unitary method, there are 10 30¢ cards and 8 35¢ cards in the box, which adds up to a total of $5.80.

Let's start by defining our units. In this case, our units are the number of 30¢ cards and the number of 35¢ cards. We know that the box of cards is being sold for $5.80, which means the total value of all the cards in the box is $5.80. We can use this information to set up an equation:

0.30x + 0.35y = 5.80

where x is the number of 30¢ cards and y is the number of 35¢ cards.

Next, we are given the information that the number of 30¢ cards is six more than one half the number of 35¢ cards. Using the unitary method, we can set up an equation that relates the number of 30¢ cards to the number of 35¢ cards:

x = 0.5y + 6

Now we can use this equation to eliminate x from our first equation:

0.30(0.5y + 6) + 0.35y = 5.80

Simplifying this equation gives:

0.15y + 1.80 + 0.35y = 5.80

0.50y = 4.00

y = 8

So there are 8 35¢ cards in the box. We can use the unitary method again to find the number of 30¢ cards:

x = 0.5y + 6

x = 0.5(8) + 6

x = 10

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If a hypothesis test is performed and fails to reject the null hypothesis, it would mean that there is not enough evidence to support the claim that less than 15% of the marketing organization's employees are paid minimum wage.

Therefore, it would not be concluded that the claim is true. The null hypothesis assumes that the claim is false or that the percentage of employees paid minimum wage is not significantly different from 15%.

The failure to reject the null hypothesis means that the evidence does not contradict the null hypothesis, but it does not necessarily prove it to be true.

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In a right triangle, tangent of one of non-right angles is equal to  ratio of the length of opposite side to the length of  adjacent side. The tangent of angle M is 5/3.

In this case, we want to find  tangent of angle M.

Let's label the sides of  triangle opposite, adjacent, and hypotenuse, as follows:

Opposite: side LM, which is opposite to angle M.

Adjacent: side MN, which is adjacent to angle M.

Hypotenuse: side LN, which is the longest side and opposite to the right angle N.

Using the Pythagorean theorem, we can find the length of the hypotenuse LN:

[tex]LN^2 = LM^2 + MN^2 \\LN^2 = 10^2 + 6^2\\LN^2 = 100 + 36\\LN^2 = 136LN = sqrt(136) = 2*sqrt(34)[/tex]

Now, we can use the tangent formula:

tan(M) = opposite/adjacent = LM/MN

tan(M) = 10/6 = 5/3

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Answer:

22√5

Step-by-step explanation:

√20=√4x5 = √4 x √5 = 2√5

√45 = √9 x 5 = √9 x √5 = 3√5

√80 = √16 x 5 = √16 x √5 = 4√5

4√20 = 6 √45 - √80 = 4(2√5) + 6(3√5)- 4√5

8√5 + 18√5 - 4√5 = 22√5

So its 22√5

Answer:

[tex]22 \sqrt{5} [/tex]

Step-by-step explanation:

the explaination is avaliable in the picture i sent you

and please give me branliest

The results of the experiment might support the hypothesis, or might not.

The correct statement is that the results of the experiment might support the hypothesis, or might not. It is important to design a well-controlled experiment that tests the hypothesis in a rigorous and systematic way. The goal is not to prove the hypothesis correct, but rather to gather evidence that either supports or contradicts the hypothesis. It is also important to conduct the experiment in a suitable environment with appropriate equipment and procedures to ensure accurate and reliable results.
Your question focuses on understanding the relationship between a hypothesis, an experiment, and the possible outcomes.
An experiment is designed to test a hypothesis, which is an educated guess or prediction about a phenomenon. When conducting an experiment, the results might either support the hypothesis or contradict it, leading to further investigation and refinement of the hypothesis. A well-designed experiment should be able to provide valuable data and insights, regardless of the outcome.

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The statement that is true is:

"The results of the experiment might support the hypothesis or might not."

A scientist designs an experiment to test a hypothesis.

In such a scenario, it is important to note that the outcome of the experiment cannot be predicted with certainty.

The scientific method involves formulating a hypothesis, designing an experiment to test the hypothesis,

collecting and analyzing data and drawing conclusions.

The hypothesis is an educated guess that can be tested through experimentation.

It is important to remember that a hypothesis can never be proven to be 100% correct, only supported or refuted by the evidence obtained through experimentation.
It is not accurate to say that if the experimenter does the test correctly, the hypothesis will be proven correct.

This is because there are many variables that can affect the outcome of the experiment, and it is impossible to control all of them.

Additionally, a good experiment is not necessarily one that produces the most data.

A good experiment is one that is well-designed, carefully controlled, and yields reliable results.

The use of lab equipment is also not a requirement for conducting experiments.

While it is often necessary for certain types of experiments, many experiments can be conducted with simple materials and equipment.
Ultimately, the results of the experiment might support the hypothesis, or might not. If the results support the hypothesis, it can be considered a step towards validating the hypothesis.

The results do not support the hypothesis, it does not necessarily mean that the hypothesis is incorrect.

It could mean that the experiment was flawed, or that the hypothesis needs to be revised based on the new information obtained from the experiment.
Designing and conducting experiments is an important part of the scientific method.

Guarantee that an experiment will yield the desired results, a well-designed and carefully controlled experiment can provide valuable information that can help scientists understand the natural world.

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We verified that the associative property of addition holds for the given expression below

Let's verify the associative property of addition for the given expression:

2/3 + (3/4 + 1/5) = (2/3 + 3/4) + 1/5

We can simplify both sides of the equation by finding a common denominator for the fractions:

2/3 + (3/4 + 1/5) = (2/3 + 3/4) + 1/5

Multiplying 2/3 by 20/20, we get:

40/60 + (3/4 + 1/5) = (2/3 + 3/4) + 1/5

Multiplying 3/4 by 15/15, we get:

40/60 + 45/60 + 1/5 = (2/3 + 3/4) + 1/5

Combining the first two terms on the left-hand side, we get:

85/60 + 1/5 = (2/3 + 3/4) + 1/5

Simplifying the fraction 85/60, we get:

17/12 + 1/5 = (2/3 + 3/4) + 1/5

Multiplying 2/3 by 4/4, we get:

17/12 + 1/5 = (8/12 + 9/12) + 1/5

Combining the fractions in the parentheses, we get:

17/12 + 1/5 = 17/12 + 1/5

Since both sides of the equation are equal, we have verified that the associative property of addition holds for the given expression:

2/3 + (3/4 + 1/5) = (2/3 + 3/4) + 1/5.

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the total number of squares that contain the black center square is[tex]$1 + 4 + 9 + 16 + 1 = \boxed{31}$.[/tex]

To solve this problem, we need to count the number of squares of each size that contain the black center square.

There is only one square of size[tex]$5\times 5$[/tex], which is the entire grid and obviously contains the black center square.

For squares of size[tex]$4\times 4$[/tex], there are [tex]$4$[/tex]possible squares that contain the black center square (one for each corner).

For squares of size[tex]$3\times 3$,[/tex] there are 9 possible squares that contain the black center square (one for each position that the center square could occupy, and then each of those squares could be oriented in three different ways).

For squares of size $2\times 2$, there are $16$ possible squares that contain the black center square (one for each pair of adjacent squares).

For squares of size [tex]$1\times 1$[/tex], there is only one possible square that contains the black center square (the center square itself).

Therefore, the total number of squares that contain the black center square is[tex]$1 + 4 + 9 + 16 + 1 = \boxed{31}$.[/tex]

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There are 11 squares containing the black center square in the 5x5 grid.

To find the number of squares that contain the black center square, we'll consider the sizes of the squares and their positions in the 5x5 grid.
The black center square is a 1x1 square itself, so that's 1 square.
For 2 x 2 squares containing the center square, there are 4 possible positions (the center square can be in any corner). So, that's 4 squares.
For 3x3 squares containing the center square, there is only 1 possible position (the center square is exactly in the middle). So, that's 1 square.
4. For 4x4 squares containing the center square, there are 4 possible positions (the center square can be in any corner). So, that's 4 squares.
5. For 5x5 squares containing the center square, there is only 1 possible position (the center square is exactly in the middle).

So, that's 1 square.
Now, we'll add up the number of squares we found in each step:
1 + 4 + 1 + 4 + 1 = 11.

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If Taylor is proving the Pythagorean theorem.  Taylor can use the diagram to prove the Pythagorean theorem by: A. Taylor could set the area of a square with side length a + b equal to the sum of the areas of the 4 triangles and the square with side length c.

To prove the Pythagorean theorem, we want to show that in a right triangle with legs a and b and hypotenuse c, the square of the hypotenuse c^2 is equal to the sum of the squares of the legs a^2 + b^2.

From the given diagram, we can see that we have a square with side length a+b, which is divided into 4 congruent right triangles and a smaller square with side length c. Each of the 4 triangles has legs a and b, which are also the legs of the right triangle we want to prove the theorem for. The smaller square with side length c has an area equal to c^2, which is the square of the hypotenuse of the right triangle.

The area of the square with side length a+b is (a+b)^2 = a^2 + 2ab + b^2. The area of one of the congruent right triangles is (1/2)ab, so the sum of the areas of the 4 triangles is 2ab. Therefore, the sum of the areas of the 4 triangles and the smaller square is:

a^2 + 2ab + b^2 + c^2

But this is also equal to the area of the larger square with side length a+b, which is (a+b)^2. So we have:

a^2 + 2ab + b^2 + c^2 = (a+b)^2

Expanding the right-hand side gives:

a^2 + 2ab + b^2 + c^2 = a^2 + 2ab + b^2

Canceling the common terms on both sides gives:

c^2 = a^2 + b^2

This is the Pythagorean theorem, which we have proved using the given diagram.

Therefore, option A is the correct answer.

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One measure we use to determine the F-statistics is the ratio of the variability within and across groups when we are doing the one way-ANOVA test.

We are interested in discovering whether there are significant differences between the means of the populations when doing a one-way ANOVA test on more than two independent normally distributed populations. A test statistic used to reach this conclusion is the F-statistic.

The ratio of the variability of the between group and within group is the a tool that we use to find the F-statistics.

F is equal to (SSB/k-1) / (SSW/N-k)

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This equation tells us that the distance the bus travels is directly proportional to the time it travels at a constant speed of 15m/s.

What is speed?

Speed is the method of measuring how quickly an object moves from one place to another. It is a scalar quantity that expresses the rate of change of distance over time. In other words, it is the distance traveled per unit of time.

If the bus is traveling at a constant speed of 15m/s, then its acceleration is 0m/s². Therefore, we can use the formula for distance traveled at constant speed:

distance = speed × time

In this case, the speed of the bus is 15m/s, so the equation for the distance the bus travels in time (t) is:

distance = 15t

This equation tells us that the distance the bus travels is directly proportional to the time it travels at a constant speed of 15m/s.

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[tex]\sin(X )=\cfrac{\stackrel{opposite}{36}}{\underset{hypotenuse}{45}}\implies \sin(X )=\cfrac{4}{5} \\\\\\ \cos(X )=\cfrac{\stackrel{adjacent}{27}}{\underset{hypotenuse}{45}}\implies \cos(X)=\cfrac{3}{5} \\\\\\ \tan(X )=\cfrac{\stackrel{opposite}{36}}{\underset{adjacent}{27}}\implies \tan(X)=\cfrac{4}{3}[/tex]

The area of the trapezoid is 72 square meters.

In order to find the area of a trapezoid, we need to use the formula:

Area = (b1 + b2) x h / 2

where b1 and b2 are the lengths of the parallel sides, and h is the height of the trapezoid.

In this case, we are given the lengths of the parallel sides as 6m and 12m respectively, and the height of the trapezoid is 4m.

So, we can plug these values into the formula to get:

Area = (6m + 12m) x 4m / 2

Area = 18m x 4m Area = 72m²

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Complete Question:

Find the area of the trapezoid.

Base 1 = 6 m

Height = 4 m

Base 2 = 12 m

The constant of proportionality is $8.40

The constant of proportionality is a value that relates two quantities that are proportional to each other. It is represented by the letter k and is found by dividing the dependent variable by the independent variable. In this case, the constant of proportionality is $8.40 for the given data set.

According to the given information:

To find the constant of proportionality, we can use any two data points from the table and plug them into the equation y = kx.

Let's use the first and second data points: (0.75, $6.30) and (2.5, $21.00).

We can set up the equation as:

$6.30 = k(0.75)

Solving for k, we get:

k = $6.30/0.75 = $8.40

Now, we can check our work by using another data point. Let's use the third data point: (4, $33.60).

Plugging in the values, we get:

$33.60 = k(4)

k = $33.60/4 = $8.40

Since we get the same value for k, we can be confident that our answer is correct.

Therefore, the constant of proportionality is $8.40.

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Yes, a triangle can be constructed with sides of 2/3, 4/5, and 1/2. the value of x is 17.

Since a triangle is a polygon that has three sides and three vertices. It is one of the basic figures in geometry.

To determine if a triangle can be constructed, we need to check if the sum of the two smaller sides is greater than the largest side.

In this case, we can see that

2/3 + 1/2 > 4/5,

2/3 + 4/5 > 1/2,

1/2 + 4/5 > 2/3,

Therefore, a triangle can be formed.

The value of x can be calculated as;

45 + 68 + 3x + 16 = 180

3x = 51

x = 17

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Therefore, the mean weight for each group in the three randomizations are:

First Randomization:

Group A: 12.5

Group B: 11.46

Second Randomization:

Group A: 11.56

Group B: 12.4

Third Randomization:

Group A: 12.18

Group B: 12.18

The mean, also known as the average, is a measure of central tendency in statistics. It is found by adding up all the values in a data set and dividing by the number of values in the set. The mean is sensitive to extreme values, or outliers, in the data set, and can be influenced by them. It is one of the most commonly used measures of central tendency, along with the median and mode.

Here,

First Randomization:

Group A: (13.6 + 12.1 + 15.9 + 11.2 + 9.7) / 5 = 12.5

Group B: (9.2 + 8.2 + 11.5 + 13.8 + 14.6) / 5 = 11.46

Second Randomization:

Group A: (8.2 + 13.8 + 15.9 + 9.2 + 9.7) / 5 = 11.56

Group B: (12.1 + 14.6 + 13.6 + 11.2 + 11.5) / 5 = 12.4

Third Randomization:

Group A: (8.2 + 9.7 + 11.5 + 14.6 + 15.9) / 5 = 12.18

Group B: (12.1 + 13.8 + 13.6 + 11.2 + 9.2) / 5 = 12.18

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Answer:

LOOK BELOW FOR ANSWER !!

Step-by-step explanation:

After the first randomization,

A  is  12.5

B  is 11.46

and A-B  is 1.04

After the second randomization,

A is 11.36

B is 12.6

A and B is -1.24

After the third randomization,

A is 11.98

B is 11.98

A and B is 1

.

The rate at which the gray whale swims is 6.7 kilometers per hour.

What is the equation that relates the distance, rate, and time?

The equation that relates the distance, rate, and time is distance = rate × time

This equation can be used to calculate any one of the three variables if the other two are known.

For example, if you know the rate at which an object is moving and the time it has been moving, you can use this equation to find the distance it has traveled. Or, if you know the distance traveled and the time it took to travel that distance, you can use this equation to find the average rate of travel.

We are given that the distance traveled by the gray whale is 161 kilometers in 24 hours. Therefore, we can use the equation to find the rate at which the gray whale swims,

rate = distance / time = 161 km / 24 h ≈ 6.7 kph

Rounding to the nearest tenth, the rate at which the gray whale swims is approximately 6.7 kilometers per hour.

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This indicates that the sample size was large enough to construct a reasonably precise confidence interval.

Since n is at least 30" or "yes, since np and nq are both at least 15."

The sample size, we cannot definitively choose between these two options.

Information provided; the sample size is not explicitly stated.

Determine whether the sample size is considered large enough for the construction of a confidence interval based on the conditions for using a normal approximation to the binomial distribution.
One condition is that np and nq are both at least 15, where n is the sample size, p is the proportion of interest (in this case, the proportion of central Florida reefers who use LED lighting), and q is the complement of p (i.e., 1-p). This condition ensures that the distribution of the sample proportion is approximately normal.
Another condition is that the sample size is large enough that the standard error of the sample proportion (sqrt[pq/n]) is small enough to use a normal approximation.

This condition is not explicitly stated, but it is typically considered to be met when n is at least 30.
Since we do not know the sample size, we cannot directly determine whether the conditions are met.

That a 95% confidence interval was constructed with an interval estimate of (.755, .816) and a sample proportion of .7855.

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