Help please! This is due tomorrow!

Answer:

\({\triangle LRC} \cong {\triangle EIC}\) by angle-angle-side (\(\texttt{AAS}\).)

Step-by-step explanation:

Let \(r\) denote the radius of this circle.

Notice that \(EC\) and \(LC\) are each a radius of this circle. (A radius of a circle is a segment with one end at the center of the circle and the other end on the perimeter of the circle.)  

Therefore, the length of both segment \(EC\) and segment \(LC\) should be equal to the radius of this circle:

\(r = \overline{EC}\).

\(r = \overline{LC}\).

Therefore, \(\overline{EC} = \overline{LC}\).

Thus, \({\triangle LRC} \cong {\triangle EIC}\) by angle-angle-side (\(\texttt{AAS}\)) since:

Answer:

mean = 24

Step-by-step explanation:

the mean is calculated as

mean = \(\frac{sum}{count}\)

the sum of the data set is

sum = 12 + 13 + 15 + 28 + 28 + 30 + 42 = 168

there is a count of 7 in the data set , then

mean = \(\frac{168}{7}\) = 24

The normal approximation is not suitable as np<5.

Given,

mean = np

It turns out that if np and nq are both at least 5, the normal distribution can be used to approximate the binomial distribution. Additionally, keep in mind that a binomial distribution has a mean of np and variance of npq.

Hence apply the mean formula and get the value for np

n= 12 and p=0.

therefore mean = np

np = n×p

np = 12×0.3×

np = 3.6

np is less than 5.

nq=?

q=1-p

q=1-0.3

q=0.7

∴nq = 12 × 0.7

nq = 8.4

nq is not less than 5

It's remarkable that the normal distribution may accurately represent the binomial distribition when n, np and nq are large.

since here only nq is greater than five and np is less than five, therefore we conclude that normal approximation is not suitable.

Hence np<5 so normal approximation is not suitable.

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there is not sufficient evidence to claim that the variance of the battery life population is different than 4 hours2 at a significance level of 0.05.

answer is D. None of the above.

To test if there is significant evidence to claim that the variance of the battery life population is different than 4 hours2, we can use a chi-square test.This is how the test statistic is computed:

X2 = (n-1)*(s2/σ2)

where n is the sample size, s2 is the sample variance and σ2 is the population variance.

In this case, n = 16, s2 = 3.25 and σ2 = 4

X2 = (16-1)*(3.25/4) = 12.1875

The critical value of X2 with 15 degrees of freedom and α = 0.05 is 24.996. Therefore, since 12.1875 < 24.996, we fail to reject the null hypothesis, and there is not sufficient evidence to claim that the variance of the battery life population is different than 4 hours2 at a significance level of 0.05.

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Answer:

C and B

Step-by-step explanation:

if u observed carefully u will see option c has

5 boxes coverd out of 20

5*100/20

= 25%

AND IF U OBSERVED CARFULLY WILL SEE OPTION B

4 TRIANGLES ARE COVERED AND TOTAL TRIANGLES ARE 16 SO

100*4/16

= 100/4

= 25%.

HOPE ITS HELPFUL

PLS MARK AS BRILLENT

ABOVE ANSWER IS WROUNG

Answer:

gsgsbsbsbs

Step-by-step explanation:

yewhsgshdhhssjbs

With mean salary=$65000, a person at the 30th percentile for company salaries would have a salary of approximately $61,544.40.

What exactly is mean?

In mathematics, the mean is a measure of central tendency that represents the average of a set of data. It is also known as the arithmetic mean, and it is calculated by adding up all the values in the dataset and dividing the total by the number of values.

For example, consider the following set of numbers: 3, 5, 7, 8, 10. To find the mean, we add up all the numbers and divide by the total number of values in the set:

Mean = (3 + 5 + 7 + 8 + 10) / 5 = 6.6

Now,

To find the salary of a person who is at the 30th percentile for company salaries

Find the z-score corresponding to the 30th percentile. The z-score is the number of standard deviations a value is away from the mean.

z = invNorm(0.30) = -0.5244 (using a standard normal distribution table )

Use the z-score formula to find the corresponding salary:

z = (x - mu) / sigma

where x is the salary we want to find, mu is the mean salary, sigma is the standard deviation

Rearranging the formula, we get:

x = z * sigma + mu

Substituting the values we have, we get:

x = -0.5244 * $6,000 + $65,000

x = $61,544.40

Therefore, a person at the 30th percentile for company salaries would have a salary of approximately $61,544.40.

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The value of f(-0.01) is approximately 0.99005.

To evaluate f(-0.01), we substitute -0.01 into the function f(x) = (1+x)^(1/x). Thus, we have f(-0.01) = (1+(-0.01))^(1/(-0.01)).

Using a calculator, we simplify this expression to f(-0.01) = 0.99005. Therefore, the value of f(-0.01) rounded to five decimal places is approximately 0.99005.

The function f(x) = (1+x)^(1/x) represents an exponential function with a variable exponent. In this case, we are evaluating the function at x = -0.01.

By substituting this value into the function and performing the necessary calculations, we find that f(-0.01) is approximately 0.99005. This means that when x is equal to -0.01, the function value is approximately 0.99005.

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Based on the data recorded by Anna on Saturday, we can estimate the number of people expected to visit The Youth Wing on Sunday.

Let's calculate the proportion of visitors to The Youth Wing compared to the total number of visitors on Saturday:

\(\displaystyle \text{Proportion} = \frac{\text{Visitors to The Youth Wing on Saturday}}{\text{Total visitors on Saturday}} = \frac{382}{382 + 461 + 355}\)

Next, we'll apply this proportion to the total number of visitors on Sunday to estimate the number of people expected to go to The Youth Wing:

\(\displaystyle \text{Expected visitors to The Youth Wing on Sunday} = \text{Proportion} \times \text{Total visitors on Sunday}\)

Now, let's substitute the values into the equation and calculate the estimated number of visitors to The Youth Wing on Sunday:

\(\displaystyle \text{Proportion} = \frac{382}{382 + 461 + 355}\)

\(\displaystyle \text{Expected visitors to The Youth Wing on Sunday} = \text{Proportion} \times 800\)

Calculating the proportion:

\(\displaystyle \text{Proportion} = \frac{382}{382 + 461 + 355} = \frac{382}{1198}\)

Calculating the estimated number of visitors to The Youth Wing on Sunday:

\(\displaystyle \text{Expected visitors to The Youth Wing on Sunday} = \frac{382}{1198} \times 800\)

Simplifying the equation:

\(\displaystyle \text{Expected visitors to The Youth Wing on Sunday} \approx \frac{382 \times 800}{1198}\)

Now, let's calculate the approximate number of visitors to The Youth Wing on Sunday:

\(\displaystyle \text{Expected visitors to The Youth Wing on Sunday} \approx 254\)

Therefore, based on the data recorded on Saturday, we can estimate that around 254 people should be expected to go to The Youth Wing on Sunday.

\(\huge{\mathfrak{\colorbox{black}{\textcolor{lime}{I\:hope\:this\:helps\:!\:\:}}}}\)

♥️ \(\large{\underline{\textcolor{red}{\mathcal{SUMIT\:\:ROY\:\:(:\:\:}}}}\)

Answer:

The answer to the question is C

Answer:

The first one

Step-by-step explanation:

She cant buy anything over $15, but she can buy something thats $15 :))

Answer:

1. 1 in 5

2. There are 5 colors it could land on, and orange is one of them.

3. 40 different combinations

4. There are 5 colors with 8 corresponding numbers. 5x8=40

Step-by-step explanation:

1) 20%

2) Assuming that on the spinner with color, every section has an equal share, then the probability of landing on orange is \(\frac{1}{5}\) or 20%. This is because, the orange section is one of the five equal sections, or \(\frac{1}{5}\) or the spinner. \(\frac{1}{5}\) in decimal form is 0.2, to convert to a percent, multiply by 100. Hence one gets, 20%.

3) 40

4) There are 5 sections on the spinner with color, hence 5 possible outcomes when one spins the spinner. On the black and white spinner, there are 8 sections, hence 8 possible outcomes when one spins the spinner. To find the total number of outcomes resulting from the two events, one must multiply the total outcomes from one event by the total outcome of the other event. When one does this, they get that there are 40 possible events.

Answer:

24?

Step-by-step explanation:

sabihin nyo kung mali -_-

Answer:

B.  28/15

Step-by-step explanation:

7/3 x 4/5 = 28/15

ok

[-6c(2) + 2cd + 3d - 4] / [6d - 3] Is this correct?

c = 1 d = 2

Substitution

[-6(1)(2) + 2(1)(2) + 3(2) - 4 ] / 6(2) - 3

[-12 + 4 + 6 - 4] / [12 - 3]

[-6] / [9]

-2/3

I think that was the equation

The solution is a fraction: -2/3

The polynomial equation for the given roots is x³-7x²+20x-24=0.

Given that, the polynomial equation of the smallest degree whose roots are 3, 2+2i and 2-2i.

Now, we need to write the polynomial equation.

A polynomial equation is an equation where a polynomial is set equal to zero. i.e., it is an equation formed with variables, non-negative integer exponents, and coefficients together with operations and an equal sign. It has different exponents. The highest one gives the degree of the equation. For an equation to be a polynomial equation, the variable in it should have only non-negative integer exponents. i.e., the exponents of variables should be only non-negative and they should neither be negative nor be fractions.

Now, x=3, x=2+2i and x=2-2i

x-3, x-2-2i and x-2+2i

So, the polynomial equation is (x-3)(x-2-2i)(x-2+2i)=0

⇒(x-3)(x(x-2-2i)-2(x-2-2i)+2i(x-2-2i))=0

⇒(x-3)(x²-2x-2xi-2x+4+4i+2xi-4i-4i²)=0

⇒(x-3)(x²-2x-2x+4-4i²)=0

⇒(x-3)(x²-4x+4+4)=0 (∵i²=-1)

⇒(x-3)(x²-4x+8)=0

⇒x(x²-4x+8)-3(x²-4x+8)=0

⇒x³-4x²+8x-3x²+12x-24=0

⇒x³-7x²+20x-24=0

Therefore, the polynomial equation for the given roots is x³-7x²+20x-24=0.

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a. The distribution of X is X ~ N(68, 14).

b. The corresponding area to the right of 0.9286, which is approximately 0.1772.

c. The longest amount of time a patron can spend and still receive the discount is approximately 48.5654 minutes.

d. The Inter Quartile Range (IQR) for time spent at the hot springs is approximately 21.373 minutes.

a. The distribution of X is X ~ N(68, 14), where X represents the amount of time a person spends at Grover Hot Springs, 68 is the mean, and 14 is the standard deviation.

b. To find the probability that a randomly selected person stays longer than 81 minutes, we need to calculate the area under the normal curve to the right of 81.

Using the z-score formula: z = (x - μ) / σ, where x is the value (81), μ is the mean (68), and σ is the standard deviation (14).

Plugging in the values, we have z = (81 - 68) / 14 = 0.9286.

Using a standard normal distribution table or a calculator, we can find the corresponding area to the right of 0.9286, which is approximately 0.1772.

c. To find the longest amount of time a patron can spend at the hot springs and still receive the discount, we need to find the value that corresponds to the lowest 8% of the distribution.

Using a standard normal distribution table or a calculator, we can find the z-score that corresponds to the 8th percentile, which is approximately -1.4051.

Using the z-score formula, we can calculate the longest amount of time: x = μ + z \(\times\) σ = 68 + (-1.4051) \(\times\) 14 = 48.5654 minutes.

Therefore, the longest amount of time a patron can spend and still receive the discount is approximately 48.5654 minutes.

d. The Inter Quartile Range (IQR) is a measure of the spread of the data and represents the range between the first quartile (Q1) and the third quartile (Q3).

To find Q1 and Q3, we can use the z-score formula and the standard normal distribution table.

For Q1, we find the z-score corresponding to the 25th percentile, which is approximately -0.6745.

Using the formula Q1 = μ + z \(\times\) σ, we have Q1 = 68 + (-0.6745) \(\times\) 14 = 57.053.

Therefore, Q1 is approximately 57.053 minutes.

For Q3, we find the z-score corresponding to the 75th percentile, which is approximately 0.6745.

Using the formula Q3 = μ + z \(\times\) σ, we have Q3 = 68 + (0.6745) \(\times\) 14 = 78.426.

Therefore, Q3 is approximately 78.426 minutes.

Finally, we can calculate the IQR by subtracting Q1 from Q3: IQR = Q3 - Q1 = 78.426 - 57.053 = 21.373 minutes.

Therefore, the Inter Quartile Range (IQR) for time spent at the hot springs is approximately 21.373 minutes.

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The disadvantages of the mode are: For many sets of data there is no mode.

The mode is a measure of central tendency that represents the most frequently occurring value in a dataset.

However, one of the disadvantages of the mode is that for many sets of data, there may not be a distinct mode. In such cases, the data may have a uniform distribution where all values occur with equal frequency, or it may have multiple modes with similar frequencies.

The mode is not affected by extremely large or small values. It only considers the frequency of values and not their magnitude. Therefore, extreme values do not influence the mode.

The statement that the mode can only be computed for interval-level data or higher is incorrect. The mode can be computed for any type of data, including nominal, ordinal, interval, and ratio data. It is applicable to categorical as well as numerical data.

The main disadvantage of the mode is that for many datasets, there may not be a distinct mode.

The correct option is: For many sets of data there is no mode.

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Answer:

a) Percentage of standardized test takers that scored 550 or less = 76.4%

b) Percentage of standardized test takers that scored 524 = 0.782%

Step-by-step explanation:

This is a normal distribution problem with

Mean = μ = 514

Standard deviation = σ = 50

a) Percentage of standardized test takers scored 550 or less = P(x ≤ 550)

We first normalize or standardize 550

The standardized score for any is the value minus the mean then divided by the standard deviation.

z = (x - μ)/σ = (550 - 514)/50 = 0.72

To determine the required probability

P(x ≤ 550) = P(z ≤ 0.72)

We'll use data from the normal distribution table for these probabilities

P(x ≤ 550) = P(z ≤ 0.72) = 0.76424 = 76.424%

The normal curve for this question and the b part are sketched in the first attached image to this solution.

b) Percentage of standardized test takers that scored 524 = P(x = 524)

On standardizing,

z = (x - μ)/σ = (524 - 514)/50 = 0.20

For this part, since it's an exact probability, we will use the normal distribution formula

P(z = Z) = [1/(σ√2π)] × e^(-z²/2)

Since z = (x - μ)/σ

It can be written properly as presented in the second attached image to this question.

Putting x = 524 or z = 0.20 in this expression, we get

P(x = 524) = P(z = 0.20) = 0.0078208539 = 0.782%

Hope this Helps!!!

ANSWER:

-11.4

STEP-BY-STEP EXPLANATION:

We have the following function:

We calculate the result when x = -2, just like this:

When x = -2, the value of the function is equal to -11.4

Answer:

5.1% compounded yearly

Step-by-step explanation:

f(x) = 4500(1 + .05/2)^2(3) = 5218.62

f(x) = 4500(1+ .049/4)^4(3) = 5207.94

f(x) = 4500(1+ .048/12)^(12)(3) = 5195.49

f(x) = 4500(1 + .051/1)^1(3)= 5224.21

Answer:

D

Step-by-step explanation:

Answer:

\(Volume = \frac{3}{128}ft^3\)

Step-by-step explanation:

Given

\(Length = 1\ cube\)

\(Width = 3\ cubes\)

\(Height = 4\ cubes\)

\(1\ cube = \frac{1}{8}ft\)

Required

The volume of the cube

Start by calculating the dimension in ft

\(Length = 1\ cube\)

\(Length = 1 * \frac{1}{8}ft\)

\(Length = \frac{1}{8}ft\)

\(Width = 3\ cubes\)

\(Width = 3 * \frac{1}{8}ft\)

\(Width = \frac{3}{8}ft\)

\(Height = 4\ cubes\)

\(Height = 4 * \frac{1}{8}ft\)

\(Height = \frac{1}{2}ft\)

So, the volume is:

\(Volume = Length * Width * Height\)

\(Volume = \frac{1}{8}ft * \frac{3}{8}ft * \frac{1}{2}ft\)

\(Volume = \frac{1}{8} * \frac{3}{8} * \frac{1}{2}ft^3\)

Using a calculator, we have:

\(Volume = \frac{3}{128}ft^3\)

Answer:

4.181

Step-by-step explanation:

1/3 (3.2×1.4) 2.8

1/3 ( 4.48) 2.8

1/3 (4.48 × 2.8)

1/3 × 12.544

= 4.181

Answer:

Starting with AT LEAST 2 A's means starting with 3 A's, or starting with 2 A's with some different letter third.

P(AAA...) = (3/9)(2/8)(1/7) = 1/84

Step-by-step explanation:

Answer:

Option A: -2≤x<-1

Step-by-step explanation:

Then select graph a

Answer: Anyway, option A.

Step-by-step explanation:

Answer:

52-32

Step-by-step explanation:

Answer:

72

Step-by-step explanation:

the denominator will be zero when. \(x=-2\)or \(x=-7.\) Therefore, the domain of the expression is all real numbers except \(x=-2\) and \(x=-7\).

In mathematics, factoring refers to the process of finding the factors of a given number or expression. Factors are numbers or expressions that can be multiplied together to obtain the original number or expression. For example, the factors of 12 are 1, 2, 3, 4, 6, and 12, because these are the numbers that can be multiplied in pairs to obtain 12 (e.g. 2 x 6 = 12).

In algebra, factoring involves breaking down an algebraic expression into simpler expressions that can be multiplied together. This is done by finding common factors or using techniques such as difference of squares, perfect squares, or grouping. Factoring is an important tool in algebra, as it can help simplify complex expressions and solve equations.

To simplify a rational expression, follow these steps:

Step 1: Factor both the numerator and denominator if possible. For example, in the expression you provided, the numerator can be factored as\((2x+5)(x+4)\)and the denominator can be factored as \((2x+15)(x+2)\).

Step 2: Cancel out any common factors in the numerator and denominator. In this case, both the numerator and denominator have a common factor of (2x+5), which can be cancelled out.

Step 3: Simplify the remaining expression. After cancelling out the common factor, the simplified expression becomes:

\((2x+5)(x+4) / (2x+15)(x+2) = (x+4) / (x+2)(2x+15)\)

Domain restrictions occur when a value of x makes the denominator equal to zero, because division by zero is undefined. In this case, the denominator will be zero when x=-2 or x=-7. Therefore, the domain of the expression is all real numbers except x=-2 and x=-7.

It is important to identify any domain restrictions before simplifying a rational expression to ensure that the final expression is valid for all values of x in its domain.

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