11. Find the missing dimension of the rhombus.
(Hint: Use the formula A = bh.) (Lesson 1)

Answer:

To multiply a whole number and a fraction, we can simply multiply the whole number with the numerator of the fraction and keep the denominator the same.

So, 3 x 3/5 = (3 x 3)/5 = 9/5

Therefore, 3 x 3/5 = 9/5.

Answer:

Step-by-step explanation:

9x/5

Answer:

Step-by-step explanation:

The theoretical probability of getting the same side every time in a single coin toss is 1/2. Since we have five independent coin tosses, we can calculate the probability of getting the same side every time by multiplying the probability of getting the same side in each toss:

(1/2) * (1/2) * (1/2) * (1/2) * (1/2) = 1/32

Therefore, the theoretical probability of getting the same side every time in five coin tosses is 1/32, which is equivalent to 0.03125. So, the answer is (C) 0.03125.

Answer:

This table represents a linear relationship that is also proportional:

x 0 1 2

y −4 0 4

Answer:

The second table represents a linear relationship that is also proportional.

To check if a relationship is proportional, we need to see if the ratio of y to x is constant for all values of x and y. In other words, if we divide any y value by its corresponding x value, we should get the same number for all values.

Let's check the ratio for each table:

Ratio for the first table:

-3/2 = -1.5

0/3 = 0

3/4 = 0.75

The ratio is not constant, so this relationship is not proportional.

Ratio for the second table:

-2/4 = -0.5

-1/2 = -0.5

0/0 = undefined

The ratio is constant (-0.5), so this relationship is proportional.

Ratio for the third table:

0/(-2) = 0

1/1 = 1

2/4 = 0.5

The ratio is not constant, so this relationship is not proportional.

Ratio for the fourth table:

-4/0 = undefined

0/1 = 0

4/2 = 2

The ratio is not constant, so this relationship is not proportional.

Therefore, the second table is the only one that represents a linear relationship that is also proportional.

Answer: Let's denote the length, width, and height of Sam's pool as l, w, and h, respectively. Then, we have:

lwh = 600

For the neighbor's pool, we know that it has the same length and height as Sam's pool, but the width is three times larger. Let's denote the width of the neighbor's pool as 3w. Then, the volume of the neighbor's pool is:

l(3w)h = 3lwh = 3(600) = 1800 cubic feet

Therefore, the volume of the neighbor's pool is 1800 cubic feet.

Step-by-step explanation:

a) A function showing the value of the account after t years, where the annual growth rate can be found from a constant, is f(x) = 690 (1+0.0055)^4t.

b) The percentage of growth per year (APY) is 2.2%.

A function is a mathematical expression that shows the relationship between variables.

An example of a mathematical function is an equation that shows the relationship between y and x variables.

Principal = $690

APR = 2.2%

APR per quarter = 0.0055 (2.2%/4)

Compounding = Quarterly

Investment period = t years

Let f(x) = the value of the account after t years.

Future value function, (FV) = PV × (1 + r) ^ n

Where PV = present value or investment

r = compounding rate per period

n = the investment period

Therefore, f(x)  or FV = 690 (1+0.0055)^4t.

APY = 100 [(1 + Interest/Principal)(365/Days in term) - 1]

2.2% = 100 [(1 + $15.18/$690)(365/365) - 1]

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the weight that corresponds to each of the events are:

a) The weight is less than 380 grams: [tex]$P(X < 380)=0.266$[/tex].

b) The weight is between 375 and 395 grams: [tex]$P(375 < X < 395)=0.7887$[/tex].

c) The weight is greater than 400 grams: [tex]$P(X > 400)=0.0304$[/tex].

Let X be the weight of a small Starbucks coffee. We are given that X is normally distributed with mean [tex]$\mu=385$[/tex] grams and standard deviation [tex]$\sigma=8$[/tex].

We want to find the weight that corresponds to each of the following events:

a) The weight is less than 380 grams.

b) The weight is between 375 and 395 grams.

c) The weight is greater than 400 grams.

To solve these problems, we first standardize the distribution by finding the corresponding z-scores using the formula:

[tex]$z=\frac{X-\mu}{\sigma}$$[/tex]

a) The weight is less than 380 grams.

We want to find P(X<380). We can find the z-score for X=380 as follows:

[tex]$z=\frac{380-385}{8}=-0.625$$[/tex]

Using a standard normal table or calculator, we find that the probability P(Z<-0.625)=0.266. Therefore,

[tex]$P(X < 380)=P\left(Z < -\frac{0.625}{1}\right)=0.266$$[/tex]

b) The weight is between 375 and 395 grams.

We want to find [tex]$P(375 < X < 395)$[/tex]. We can find the z-scores for X=375 and X=395 as follows:

[tex]$z_1=\frac{375-385}{8}=-1.25,\quad z_2=\frac{395-385}{8}=1.25$$[/tex]

Using a standard normal table or calculator, we find that the probability P(-1.25<Z<1.25)=0.7887. Therefore,

[tex]$P(375 < X < 395)=P\left(-1.25 < Z < 1.25\right)=0.7887$$[/tex]

c) The weight is greater than 400 grams.

We want to find P(X>400). We can find the z-score for X=400 as follows:

[tex]$z=\frac{400-385}{8}=1.875$$[/tex]

Using a standard normal table or calculator, we find that the probability P(Z>1.875)=0.0304. Therefore,

[tex]$P(X > 400)=P\left(Z > \frac{1.875}{1}\right)=0.0304$$[/tex]

Therefore, the weight that corresponds to each of the events are:

a) The weight is less than 380 grams: [tex]$P(X < 380)=0.266$[/tex].

b) The weight is between 375 and 395 grams: [tex]$P(375 < X < 395)=0.7887$[/tex].

c) The weight is greater than 400 grams: [tex]$P(X > 400)=0.0304$[/tex].

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The graph that matches the piecewise function, f(x) = √(x + 5), if x < -2, f(x) = |x + 1| if -2 ≤ x ≤ 2, and f(x) = (x - 2)² if x > 2 is the graph in the third option.

A piecewise function is a function is a function that consists of two or more subfunctions each of which are applied, based on the specific interval of the input variable.

The intervals of the piecewise function are;

f(x) = √(x + 5) if x < -2

f(x) = |x + 1| -2 ≤ x ≤ 2

f(x) = (x - 2)² if x > 2

The graph of the piecewise function is a three piece graph which consists of the graph of f(x) = √(x + 5), for x values less than -2, f(x) = |x + 1|, for x-values in the interval -2 ≤ x ≤ 2 and the graph of f(x) = (x - 2)²

The <-2, symbol indicates the presence of an open circle in the graph of f(x) = √(x + 5) at x = -2

The interval -2 ≤ x ≤ 2 for the function f(x) = |x + 1| indicates that the graph of f(x) = |x + 1| in the interval -2 ≤ x ≤ 2, consists of closed circles at x = -2 and x = 2.

The interval, x > 2, for the function, f(x) = (x - 2)², indicates that the presence of an open circle in the graph of f(x) = (x - 2)² at x = 2.

The correct option for the graph of the piecewise function is therefore the third option.

Please find the attached the graph of the piecewise function created with MS Excel

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There are 792 strings across a,b, and 27,720 in a,b,c.

(a) We must select five slots for a's in an alphabet of "a,b" before filling the remaining spaces with "b's." Hence, the binomial coefficient is what determines how many strings of length 12 that include precisely five as:

C(12,5) = 792

As a result, there are 792 distinct strings of length 12 that include exactly five a's across the letters a, b.

(b) We may use the same method as before for an alphabet consisting of the letters "a,b,c." The first five slots must be filled with a's, followed by three b's, and the final four positions must be filled with c's. The number of strings of length 12 that contain exactly five a's across the letters "a," "b," and "c" is thus given by:

C(12,5) * C(7,3) = 792 * 35 = 27720

Thus, there are 27,720 distinct strings.

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Answer:

Difference=£2.4

Step-by-step explanation:

Here in shop A

130 cm=£1.82

1 cm=£1.82/130

1 cm=0.014

Now

400 cm=0.014*400

=£5.6

Again, In shop B

235cm=£1.88

1 cm=£1.88/235

1 cm=£0.008

Now

400cm=0.008*400

=£3.2

Now,

Difference=£5.6-£3.2

=£2.4

The correct interpretation of the confidence interval is We are 95 percent confident that the mean cost of a hospital visit for all parrot owners in the state is between $44.99 and $80.27 that is option A.

The mean of your estimate plus and minus the range of that estimate constitutes a confidence interval. Within a specific degree of confidence, this is the range of values you anticipate your estimate to fall inside if you repeat the test. In statistics, confidence is another word for probability.

Given,

Confidence interval, CI = 62.63 +/- 17.64

CI = ( 44.99 , 80.27 )

The percentage (frequency) of acceptable confidence intervals that include the actual value of the unknown parameter is represented by the confidence level. In other words, a limitless number of independent samples are used to calculate the confidence intervals at the specified degree of assurance. in order for the percentage of the range that includes the parameter's real value to be equal to the confidence level.

Most of the time, the confidence level is chosen before looking at the data. 95% confidence level is the standard degree of assurance. Nevertheless, additional confidence levels, such as the 90% and 99% confidence levels, are also applied.

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Complete question:

To investigate hospital costs for pets in a certain state, researchers selected a random sample of 46 owners of parrots who had recently taken their parrot to an animal hospital for care. The cost of the visit for each parrot owner was recorded and used to create the 95 percent confidence interval $62.63±$17.64.

Assuming all conditions for inference are met, which of the following is a correct interpretation of the interval?

The rate of change (or slope) of this linear function is -1/2.

A linear function is a mathematical function that has a constant rate of change, meaning that the output (y-value) changes at a constant rate for every unit increase in the input (x-value). In other words, the graph of a linear function is a straight line.

The general form of a linear function is y = mx + b, where m is the slope of the line (the rate of change) and b is the y-intercept (the point where the line crosses the y-axis). The slope represents how much the y-value changes for every one-unit increase in the x-value.

Linear functions can be used to model many real-world situations, such as distance vs. time or cost vs. quantity. They are also commonly used in economics, physics, and engineering.

The rate of change of a linear function represents the slope of the line. We can calculate the slope using the formula:

slope = (change in y) / (change in x)

Let's use the points (0, -3) and (2, -4) to calculate the slope:

slope = (-4 - (-3)) / (2 - 0)

slope = -1 / 2

Therefore, the rate of change (or slope) of this linear function is -1/2.

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Answer:

To find the yield percentage of the fillets, we need to divide the weight of the fillets by the weight of the dressed mahi-mahi and then multiply by 100 to get a percentage:

Yield percentage = (Weight of fillets / Weight of dressed mahi-mahi) x 100%

First, we need to convert the weights to a common unit, such as ounces:

Weight of dressed mahi-mahi = 30 lb. 4 oz. = 484 oz.

Weight of fillets = 13 lb. 12 oz. = 220 oz.

Now we can calculate the yield percentage:

Yield percentage = (220 oz. / 484 oz.) x 100% = 45.45%

So the yield percentage of the fillets is 45.45%.

To find the per pound cost of the fillets, we need to divide the total cost of the dressed mahi-mahi by its weight in pounds, and then multiply by the yield percentage to get the cost per pound of fillets:

Total cost of dressed mahi-mahi = 30.25 lb. x $5.85/b. = $176.96

Weight of dressed mahi-mahi in pounds = 30.25 lb.

Weight of fillets in pounds = 13.75 lb.

Cost per pound of fillets = (Total cost of dressed mahi-mahi / Weight of dressed mahi-mahi) x Yield percentage / 100%

Cost per pound of fillets = ($176.96 / 30.25 lb.) x 45.45% = $3.04/lb.

Therefore, the per pound cost of the fillets is $3.04/lb.

The value of the equation (fxg)(-1) is 10.

An equation is a mathematical statement that shows that two expressions are equal. It usually includes variables, which are represented by letters or symbols, and constants, which are fixed values.

There are several types of equations in mathematics. Here are some of the most common types:

Linear equation: An equation of the form "ax + b = c", where "a", "b", and "c" are constants and "x" is the variable. The graph of a linear equation is a straight line.Quadratic equation: An equation of the form "ax² + bx + c = 0", where "a", "b", and "c" are constants and "x" is the variable. The graph of a quadratic equation is a parabola.

Cubic equation: An equation of the form "ax³ + bx² + cx + d = 0", where "a", "b", "c", and "d" are constants and "x" is the variable. The graph of a cubic equation is a curve that can have one or two humps.

In the given question,

To find (f x g)(-1), we need to evaluate the product of f(-1) and g(-1).

First, we find f(-1):

f(-1) = -3(-1) - 1 = 2

Next, we find g(-1):

g(-1) = -1 - 4 = -5

Now, we can find the product (f x g)(-1):

(f x g)(-1) = f(-1) x g(-1) = 2 x (-5) = -10

Therefore, (f x g)(-1) = -10.

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We can explain to the boss that the advertising suggestion of "all bags have equally likely flavors" would be inaccurate based on the sample bag of candy.

It is the chance of an event to occur from a total number of outcomes.

The formula for probability is given as:

Probability = Number of required events / Total number of outcomes.

Example:

The probability of getting a head in tossing a coin.

P(H) = 1/2

We have,

Based on the sample bag of Dream Pop candy, we can calculate the probability of getting each flavor.

If all bags have equally likely flavors, then each flavor should have the same probability of being selected.

However, we can see from the sample that this is not the case.

To communicate this to the boss, we can calculate the probability of getting two different flavors and compare them.

For example:

The probability of getting a grape flavor is 16/40 or 0.4

The probability of getting a lemon flavor is 6/40 or 0.15

These probabilities are not equal, indicating that the flavors are not equally likely.

We can also compare the probabilities of getting two other flavors, such as:

The probability of getting a strawberry flavor is 12/40 or 0.3

The probability of getting a blueberry flavor is 6/40 or 0.15

Again, these probabilities are not equal, further indicating that the flavors are not equally likely.

Therefore,

We can explain to the boss that the advertising suggestion of "all bags have equally likely flavors" would be inaccurate based on the sample bag of candy.

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Answer:

Step-by-step explanation:

√9+25 = 28

π-4 = -0.8571

³√-27 = -3

2 / 3 = 0.6667

18÷2 = 9

√-27​ = 5.196

In mathematics, a surd is a term used to describe an irrational number that is expressed as the root of an integer. Specifically, a surd is a number that cannot be expressed exactly as a fraction of two integers, and is usually written in the form of a radical (e.g. √2, √3, √5, etc.).

We have √9+25 = 28

find the square root of 9 = 3

3 + 25 = 28

π-4 = 3.14 - 4

= -0.8571

³√-27 = ³√3³

= 3

2÷3 = 0.6667

18÷2 = 9

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question:

given :√9+25 : π-4 : ³√-27 : 2÷3 : 18÷2 : √-27​

find the value of the terms

Answer:

x = 42.9

Step-by-step explanation:

We can let 34 represent the reference angle.  Using this angle, we see that the side measuring 24 units is the opposite side and the side measuring x is the hypotenuse.

Thus, we can use the sine trig function which is

[tex]sin(angle)=\frac{opposite}{hypotenuse}[/tex]

We plug in what we have into the equation above and solve for x:

[tex]sin(34)=\frac{24}{x}\\ x*sin(34)=24\\x=\frac{24}{sin(34)}\\ x=42.9189996\\x=42.9[/tex]

Answer:

B) 33 times.

Step-by-step explanation:

The total amount of pebbles is 50. There is 22 yellow pebbles.

Note that 3/2 * 50 is 75. 3/2 * 22 = 33.

He should expect to choose a yellow pebble B) 33 times.

When there are few rolls, it is expected that the experimental probability will be significantly higher than the theoretical chance.

The study of random occurrences or phenomena falls under the category of probability, which is a branch of mathematics. It is used to determine how likely or unlikely an occurrence is to occur. An event's likelihood is expressed as a number between 0 and 1, with 0 denoting impossibility and 1 denoting certainty of occurrence. The symbol P stands for the probability of an occurrence A. (A). It is determined by dividing the number of positive results of event A by all the potential outcomes.

given

(a) The result of rolling 3 or 6 times is 6 + 9 = 15.

Experimental chance = (Total number of rolls) / (Number of times 3 or 6 were rolled) = 15/40 = 0.375

(b) The theoretical likelihood of rolling either a 3 or a 6 on a fair number cube is equal to the total of those odds, which is 1/6 + 1/6 = 1/3 = 0.333. (rounded to three decimal places).

(c) When there are few rolls, it is expected that the experimental probability will be significantly higher than the theoretical chance.

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The slope of this linear function is equal to: B. -2/9.

The volume of a cylinder with a height of 10 m and a radius of 5 m is equal to 785 m³.

The value of each expression is: C. a) 2, b) 1/2, c) 2/9.

In Mathematics, the slope of any straight line can be determined by using the following mathematical equation;

Slope (m) = (Change in y-axis, Δy)/(Change in x-axis, Δx)

Slope (m) = (y₂ - y₁)/(x₂ - x₁)

Slope (m) = (8 - 10)/(6 - (-3))

Slope (m) = (8 - 10)/(6 + 3)

Slope (m) =

Slope (m) = -2/9.

In Mathematics, the volume of a cylinder can be calculated by using this formula:

Volume of a cylinder, V = πr²h

Where:

By substituting the given parameters, we have:

Volume of cylinder, V = 3.14 × 5² × 10

Volume of cylinder, V = 785 m³

(√2)² = 2

(1/√2)² = 1/2

(√2/3)² = 2/9

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Answer:

To find the probability of getting someone who tested positive given that he or she had the disease, we need to use the formula for conditional probability:

P(positive|disease) = P(positive and disease) / P(disease)

From the given data, we can see that there are 136 individuals who tested positive and actually had the disease. Therefore, P(positive and disease) = 136.

We can also see that there are a total of 136 + 8 = 144 individuals who actually had the disease. Therefore, P(disease) = 144.

Substituting these values into the formula, we get:

Simplifying, we get:

Rounding to three decimal places, we get:

Therefore, the probability of getting someone who tested positive given that he or she had the disease is approximately 0.944.

The set of all n×n invertible matrices with the standard operations of matrix addition and scalar multiplication is (b) not a subspace.

A Subspace is defined as a subset of a vector space that is itself a vector space under the same operations of addition and scalar multiplication defined on the original vector space.

To be a subspace of Mₙ,ₙ, a subset of Mₙ,ₙ must satisfy three conditions:

(i) The subset must contain the zero matrix,

(ii) The subset must be closed under matrix addition, meaning that if A and B are in the subset, then (A + B) is also in the subset.

(iii) The subset must be closed under scalar multiplication, meaning that if A is in the subset and c is any scalar, then cA is also in the subset.

The set of all n×n invertible matrices does not contain the zero matrix, as the zero matrix is not invertible.

Therefore, it fails to meet the first condition and cannot be a subspace, the correct option is (b).

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The given question is incomplete, the complete question is

Determine whether the subset of Mₙ,ₙ is a subspace of Mₙ,ₙ with the standard operations of matrix addition and scalar multiplication.

The set of all n×n invertible matrices is

(a) Subspace

(b) Not a subspace.

Answer: The total number of ways the photography student can choose 4 photos out of 21 is given by the combination formula:

Step-by-step explanation: C(21, 4) = (21!)/((4!)(21-4)!) = 5985

Out of the 21 photos, 9 were photos of babies. The number of ways the student can choose 4 baby photos out of 9 is given by:

C(9, 4) = (9!)/((4!)(9-4)!) = 126

Therefore, the probability that all 4 photos chosen are of babies is:

P = (number of ways to choose 4 baby photos)/(total number of ways to choose 4 photos)

P = C(9, 4)/C(21, 4)

P = 126/5985

P ≈ 0.021

So, the probability that all 4 photos chosen are of babies is approximately 0.021 or 2.1%.

ABCD is a parallelogram, the value of x is 7

A quadrilateral with the opposing sides parallel is called a parallelogram (and therefore opposite angles equal). A parallelogram with all right angles is known as a rectangle, and a quadrilateral with equal sides is known as a rhombus.

The opposing sides of a parallelogram are equal and parallel.

AD = BC

5x + 3 = 38

Take 3 away from both sides.

5x + 3 - 3 = 38 - 3

5x = 35

Subtract 5 from both sides.

5x/5 = 35/5

x = 7

A two-dimensional shape with four sides, four vertices, and four angles is referred to as a quadrilateral. Convex and concave are the two main forms. Convex quadrilaterals can also be divided into a number of subgroups, including trapezoids, parallelograms, rectangles, rhombus, and squares.

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Using linear regression on the given data the equation we got in the form of y =mx + c is y = 243x - 16.50

What is linear regression?

Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent variable.

To find the equation for the linear function that best fits the given data, we can use linear regression. Using a calculator or software, we can find the following:

The mean of x is 3.5 and the mean of y is 150.

The variance of x is 2.5 and the variance of y is 2203.5.

The covariance of x and y is 607.5.

Using these values, we can calculate the slope of the regression line:

m = covariance of x and y / variance of x = 607.5 / 2.5 = 243

We can also calculate the y-intercept of the regression line:

b = mean of y - m * mean of x = 150 - 243 * 3.5 = -16.5

Therefore, the equation for the linear function that best fits the given data is:

y = 243x - 16.5

Rounding both numbers to two decimal places, we get:

y = 243x - 16.50

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Using linear regression on the given data the equation we got in the form of y =mx + c is y = 243x - 16.50

What is linear regression?

A variable's value can be predicted using linear regression analysis based on the value of another variable. The dependent variable is the one you want to be able to forecast. The independent variable is the one you're using to make a prediction about the value of the other variable.

To find the equation for the linear function that best fits the given data, we can use linear regression. Using a calculator or software, we can find the following:

The mean of x is 3.5 and the mean of y is 150.

The variance of x is 2.5 and the variance of y is 2203.5.

The covariance of x and y is 607.5.

Using these values, we can calculate the slope of the regression line:

m = covariance of x and y / variance of x = 607.5 / 2.5 = 243

We can also calculate the y-intercept of the regression line:

b = mean of y - m * mean of x = 150 - 243 * 3.5 = -16.5

Therefore, the equation for the linear function that best fits the given data is:

y = 243x - 16.5

Rounding both numbers to two decimal places, we get:

y = 243x - 16.50

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The experimental probability of winning the contest based on the data of all 3 games is 0.432.

What is experimental probability ?

Experimental probability is a measure of the likelihood of an event occurring based on the results of an experiment or observation. It is determined by dividing the number of times the event occurred by the total number of trials or observations. The more trials or observations conducted, the more accurate the experimental probability will be. Experimental probability is often used in situations where the probability of an event cannot be determined theoretically or where the theoretical probability is difficult to calculate. It is also commonly used in scientific experiments, market research, and other fields where the results of an experiment or observation can be used to make predictions or inform decisions.

Finding the experimental probability of winning the contest :
In this case, the event is winning the contest by choosing a marble from a bag, and the trials are the three games played by Hal.

Total number of players in all three games = 123 + 155 + 172 = 450

Total number of winners in all three games = 52 + 63 + 65 = 180

Experimental probability of winning the contest = Number of winners / Total number of players = 180/450 = 0.432

Therefore, the experimental probability of winning the contest based on the data of all 3 games is 0.432.

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Answer:

There were 8 bears

Step-by-step explanation:

Letting L = number of lions, T = number of tigers and B = number of bears

L : T = 3 : 2

We can rewrite this as
L/T = 3/2

Cross multiply:
L x 2 = 3 x T

Divide by 3 to get
T = 2/3 L

Since L = 9

T = 2/3 x 9 = 6

In the other ratio we have
T : B = 3 : 4 which we can write as
T/B = 3/4

Cross multiply to get

4T = 3B

B = 4/3 T

Since T = 6, B = 4/3 x 6 = 8

Check
L : T = 9 : 6 = 3: 2 (by dividing both sides of : by 3)
T : B = 6 : 8 = 3:4 (by dividing both sides of : by 2)

Answer: I really don't know I'm just trying to get a quest done sorry

The sum of the distinct prime factors is 16.

There are overall 24 factors of 792 among which 792 is the most significant factor and its prime factors are 2, 3, and 11.

Hence sum = 2 + 3 + 11 = 16