Pls help will mark brainliest, no fake answers

the probability of that there will be 2 defective items among them is 0.476 or 47.6%.

What is probability?

By simply dividing the favorable number of possibilities by the entire number of possible outcomes, the probability of an occurrence can be determined using the probability formula. Because the favorable number of outcomes can never exceed the entire number of outcomes, the chance of an event occurring might range from 0 to 1. Calculating the possibility of an event occurring is the focus of the math discipline of probability. Probability gauges the likelihood of an event occurring.

there are 4 defective items in a lot consisting of 10 items.

from this lot we select 5 items at random.

The number of ways in which 55 items can be selected 10 C 5 = 252.

Number of ways in which 2 defective systems and 3 non-defective systems can be selected

4C2 * 6C3 = 6*20=120

The probability = 120 / 252 = 0.476

Hence the probability of that there will be 2 defective items among them is 0.476 or 47.6%.

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The antilog provides the solution to the logarithmic equation. Then x has values of 2 and 4.

It is the method to separate the polynomial into parts and the parts will be in multiplication. And the value of the polynomial at this point will be zero.

The logarithmic equation is given below.

\(\log _6(x^{2} +8)= 1+ \log _6x\\\\\log _6(x^{2} +8)= \log_66+ \log _6x\\\\\log _6(x^{2} +8)= \log _66x\\\)

Take antilog, then we have

\(\begin{aligned} x^{2} +8 &= 6x\\\\x^2 -6x + 8 &= 0\\\\x^2 -4x - 2x +8 &=0\\\\(x-4)(x-2) &= 0\\\\x&= 2, 4\end{aligned}\)

Then the value of the x is 2 and 4.

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Answer:

500 kilowatt-hours.

Step-by-step explanation:

Let k = number of kilowatt-hours.

\(0.15k+30=105\\0.15k=75\\k=500\)

Therefore, Dalton used 500 kilowatt-hours of electricity.

Answer:

$20 for each stuffed animal

Step-by-step explanation:

[] The original price is $25, but it is 20% off.

100% - 20% = 80%

[] Now we can find 80% of $25.

-> First, 80% divided by 100 becomes 0.8, a decimal we can work with

25 * 0.8 = 20

Have a nice day!

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- Heather

Answer:

1 minute and 6 seconds or 66 seconds

Step-by-step explanation:

Hope it helps :)

Brainliest pls?

Have a good day/night

Answer:

66

Step-by-step explanation:

The company wants to know how long it will take to get all the samples. So If the sensor collects data at 5, Then you will need to divide 330 by 5. Make any sense

Answer:

24:14

Step-by-step explanation:

we find that the numerical approximation using Euler's method gives y(2) ≈ 1.865, while the analytical solution gives y(2) = 2.5.

Using the formula y(n+1) = y(n) + Δx * f(x(n), y(n)), where f(x, y) = x² √y, we can calculate the values of y at each step. Here's the step-by-step calculation:

Step 1: For x = 0, y = 1 (initial condition).

Step 2: For x = 0.2, y = 1 + 0.2 * (0.2)² * √1 = 1.008.

Step 3: For x = 0.4, y = 1.008 + 0.2 * (0.4)² * √1.008 = 1.024.

Step 4: For x = 0.6, y = 1.024 + 0.2 * (0.6)² * √1.024 = 1.052.

Step 5: For x = 0.8, y = 1.052 + 0.2 * (0.8)² * √1.052 = 1.094.

Step 6: For x = 1.0, y = 1.094 + 0.2 * (1.0)² * √1.094 = 1.155.

Step 7: For x = 1.2, y = 1.155 + 0.2 * (1.2)² * √1.155 = 1.238.

Step 8: For x = 1.4, y = 1.238 + 0.2 * (1.4)² * √1.238 = 1.346.

Step 9: For x = 1.6, y = 1.346 + 0.2 * (1.6)² * √1.346 = 1.483.

Step 10: For x = 1.8, y = 1.483 + 0.2 * (1.8)² * √1.483 = 1.654.

Step 11: For x = 2.0, y = 1.654 + 0.2 * (2.0)² * √1.654 = 1.865.

Therefore, using Euler's method with a step size of Δx = 0.2, we approximate y(2) to be 1.865.

To obtain the analytical solution to the ODE, we can separate variables and integrate both sides:

∫(1/√y) dy = ∫x² dx

Integrating both sides gives:

2√y = (1/3)x³ + C

Solving for y:

y = (1/4)(x³ + C)²

Using the initial condition y(0) = 1, we can substitute x = 0 and y = 1 to find the value of C:

1 = (1/4)(0³ + C)²

1 = (1/4)C²

4 = C²

C = ±2

Since C can be either 2 or -2, the general solution to the ODE is:

y = (1/4)(x³ + 2)² or y = (1/4)(x³ - 2)²

Now, let's evaluate y(2) using the analytical solution:

y(2) = (1/4)(2³ + 2)² = (1/4)(8 + 2)² = (1/4)(10)² = 2.5

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Answer:

y= 2/3x + 4

Step-by-step explanation:

Slope form is written like this:

y = mx + b

We need to find m (the slope) and b (the y intercept)

To get from one dot to the other, we go up 2 and to the right 3. The slope is written like rise over run. rise is the change in y and run is the change in x.

The slope is 2/3

Th y intercept is simply where the line touches on the y intercept. (0, 4)

y= 2/3x + 4

Hope this helps! :)

The domain of the function \(f(x) = \sqrt{\frac{1}{3}x + 2\) is (d) x  ≥ -6

From the question, we have the following parameters that can be used in our computation:

\(f(x) = \sqrt{\frac{1}{3}x + 2\)

Set the radicand greater than or equal to 0

So, we have

1/3x + 2 ≥ 0

Next, we have

1/3x  ≥ -2

So, we have

x  ≥ -6

Hence, the domain of the function is (d) x  ≥ -6

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The first chi-square statistic of 3.86 is not statistically significant at an alpha level of .01 because it is smaller than the critical value of 6.63. However, the second chi-square statistic of 67.81 is statistically significant at an alpha level of .05 because it is greater than the critical value of 3.84.

In statistical hypothesis testing, the chi-square statistic is used to determine if there is a significant association between categorical variables. To assess the statistical significance of the results, we compare the chi-square statistic to the critical value obtained from the chi-square distribution at a specific alpha level. The alpha level represents the probability of rejecting the null hypothesis when it is true.

For the first case, where the chi-square statistic is 3.86 and the critical value is 6.63 with an alpha level of .01, we find that the chi-square statistic is smaller than the critical value. In this scenario, we fail to reject the null hypothesis and conclude that the results are not statistically significant at the specified alpha level. This means that there is insufficient evidence to suggest a significant association between the categorical variables.

In the second case, where the chi-square statistic is 67.81 and the critical value is 3.84 with an alpha level of .05, we observe that the chi-square statistic is greater than the critical value. In this situation, we reject the null hypothesis and conclude that the results are statistically significant at the specified alpha level. This indicates strong evidence to support the presence of a significant association between the categorical variables.

Finally, the first chi-square statistic of 3.86 is not statistically significant at an alpha level of .01, while the second chi-square statistic of 67.81 is statistically significant at an alpha level of .05. The decision to reject or fail to reject the null hypothesis is based on comparing the chi-square statistic to the critical value obtained from the chi-square distribution at a specific alpha level.

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The investment would be worth $172 after 5 years.

To calculate the value of the investment after 5 years, we need to consider the initial deposit of $100 and the additional deposit of $100 made at the end of 5 years. Assuming an annual simple interest rate of 6%, we can calculate the total amount using the formula for simple interest:

Total amount = Principal + Interest

For the initial deposit of $100, the interest after 5 years would be:

Interest = Principal * Interest Rate * Time

= $100 * 0.06 * 5

= $30

The principal amount after 5 years would be $100 + $30 = $130.

For the additional deposit of $100 made at the end of 5 years, the interest earned in the first year would be:

Interest = Principal * Interest Rate * Time

= $100 * 0.06 * 1

= $6

Therefore, the total amount after 5 years would be $130 + $6 = $136.

Hence, the investment would be worth $136 after 5 years.

It's important to note that in this calculation, we assumed a simple interest model where the interest is not compounded annually. In reality, many investments use compound interest, where the interest is calculated on both the initial principal and the accumulated interest. The calculation provided here is a simplified representation using simple interest for illustrative purposes.

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The set of numbers from least to greatest is-

5×10⁻², 6%, 2/5, 4/9, 2⁻¹, √3.

For the given numbers;

The given number are-

2/5, 5×10⁻², √3, 6%, 4/9, 2⁻¹.

These number can be written in the decimal form as;

Now arrange the number from least to greatest.

0.058, 0.06, 0.40, 0.44, 0.5, 1.73

Convert the number in given form.

5×10⁻², 6%, 2/5, 4/9, 2⁻¹, √3.

Thus, the number represented in the ascending order are-

5×10⁻², 6%, 2/5, 4/9, 2⁻¹, √3.

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Answer:

5.5 weeks

Step-by-step explanation:

180 = 80+(18)w

100= 18w

w=100/18

w = 5.5

Just after her payment at the 2 1/2 year mark, Maria will owe approximately $7,722.63 on her loan.

To calculate the amount Maria will owe just after her payment at the 2 1/2 year mark, we need to determine the remaining balance on her loan.

First, we convert the loan duration to months:

2 1/2 years = 2.5 * 12 = 30 months.

Next, we use the formula for the remaining balance on a loan:

Remaining balance = Principal * (1 + monthly interest rate)^remaining months - Monthly payment * [(1 + monthly interest rate)^remaining months - 1] / monthly interest rate.

Principal = $10,000

Monthly interest rate = 7.8% / 12 = 0.065

Remaining months = 48 - 30 = 18

Plugging in the values, we have:

Remaining balance = $10,000 * (1 + 0.065)^18 - $243.19 * [(1 + 0.065)^18 - 1] / 0.065

Calculating this expression step by step:

Remaining balance = $10,000 * (1.065)^18 - $243.19 * [(1.065)^18 - 1] / 0.065

≈ $7,722.63

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An example of an optimistic explanatory style would be viewing a bad grade on a test as something that doesn't often happen, will probably not affect your final grade, and is probably because you did not get enough sleep the night before the test.

An optimistic explanatory style involves interpreting negative events or outcomes in a positive and constructive manner. It involves attributing the causes of negative events to external, temporary, or specific factors rather than internal, permanent, or global factors.

In the given example, option (a) demonstrates an optimistic explanatory style. It suggests that the bad grade on the test is not a common occurrence ("something that doesn't often happen"), indicating that it is viewed as an isolated incident. Furthermore, it minimizes the impact of the bad grade by stating that it will probably not affect the final grade. Instead of attributing the cause to personal incompetence or intelligence.

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Using the angle of elevation, the height of the tower is 9.2 ft.

He is  5 ft tall. The angle of elevation of the tower is 23 degree.

He is standing 10 feet away from the base of the tower.

The height of the tower can be found as follows;

The situation forms a right angle triangle.

The height of the tower can be found using trigonometric ratios.

Hence,

tan ∅ = opposite / adjacent

where

tan 23° = h / 10

cross multiply

h = 10 tan 23°

h = 4.2447481621

h = 4.2 ft

Therefore,

height of the tower = 4.2 + 5 = 9.2 ft

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Answer:

D:  x = -4

Step-by-step explanation:

Given equation:

(2x - 10)(3x + 12) = 0

Therefore:

⇒ 2x - 10 = 0

⇒ 2x = 10

⇒ x = 5

And:

⇒ 3x + 12 = 0

⇒ 3x = -12

⇒ x = -4

So the possible solutions of the equation are x = 5 or x = -4

Answer:

D: r = -4

Explanation:

\(\rightarrow \sf (2x-10)(3x+12)=0\)

set to zero

\(\rightarrow \sf 2x-10=0, \:3x+12=0\)

change sides

\(\rightarrow \sf 2x=10, \:3x=-12\)

simplify

\(\sf \rightarrow x=5,\:x=-4\)

The substitution reaction is defined as a reaction in which a small or functional part of one chemical compound is replaced by another group of chemical compound, or it is a reaction in which one atom or molecule of a substance gets replaced by another atom or molecule.

There are certain conditions which are to be followed while a substitution reaction,

The hydrolysis of alkyl bromide (R-Br) under basic circumstances is an example of a substitution process.  Example, R-Br + OH R -> OH + Br.

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The equation of the least-squares regression line based on these data is, y= 106.92 +2.044x where y =predicted height of child and x = child’s foot length.

To determine the equation of the least-squares regression line, we need to fit a linear model to the data using the method of least squares. The equation of the line can be written as:

height = intercept + slope * foot length

where the intercept and slope are the parameters we need to estimate from the data. The intercept represents the predicted height when foot length is 0, and the slope represents the change in height for each unit increase in foot length.

Substituting the values form the graph,

y= 106.92 +2.044x where y =predicted height of child and x = child’s foot length.

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--The complete question is, Can we predict the heights of school-aged children from foot length? below is computer output from a regression analysis of this relationship for 15 randomly-selected canadian children from 8 to 15 years old, along with a residual plot. the explanatory variable is each child's foot length (in centimeters), and the response variable is the child's height (in centimeters).

What is the equation of the least-squares regression line based on these data?  Define any parameters used.--

Answer:

(8, -7)

Step-by-step explanation:

Hi there!

We are given this system:

y=-3x+17

2x+3y=5

And we want to solve the system

Let's solve it by substitution.

In the first equation, we are given y=-3x+17, which we can substitute -3x+17 as y into the second equation

2x+3(-3x+17)=5

Now do the distributive property

2x+-9x+51=-5

Combine like terms

-7x+51=-5

Subtract 51 from both sides

-7x=-56

Divide both sides by -7

x=8

Now substitute 8 as the value of x in y=-3x+17 to find the value of y

y=-3(8)+17

y=-24+17

y=-7

The answer is x=8, y=-7. If you need it as a point, it's (8, -7)

Hope this helps!

Answer:

\(\\\sf7x^3 - 2x^2 - 5\)

Step-by-step explanation:

\(\\\sf(6x^3 + 3x^2 - 2) + (x^3 - 5x^2 - 3)\)

Remove parenthesis.

6x^3 + 3x^2 - 2 + x^3 - 5x^2 - 3

Rearrange:

6x^3 + x^3 + 3x^2 - 5x^2 - 2 - 3

Combine like terms to get:

----------------------------------------

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Answer:

7x³ - 2x² - 5

Step-by-step explanation:

(6x³ + 3x² - 2) + (x³ - 5x² - 3)

Remove the round brackets.

= 6x³ + 3x² - 2 + x³ - 5x² - 3

Put like terms together.

= 6x³ + x³ + 3x² - 5x² - 2 - 3

Do the operations.

= 7x³ - 2x² - 5

____________

hope this helps!

9514 1404 393

Answer:

  108, 77

Step-by-step explanation:

Let x represent the larger part. Then ...

  x + (x -31) = 185

  2x = 216

  x = 108

  x -31 = 77

The two parts are 108 and 77.

Answer:

C.    Student C, who is paid $290 for 20 hours of work

Step-by-step explanation:

What we know:

    - Student A ( 164.50 = 14 hours )

    - Student B ( 162.00 = 12 hours

    - Student C ( 14.50h = p )

What we need to figure out:

    - How much each person makes per hour ( Pt.1 )

    - Who will make the most in 20 hours ( Pt.2 )

How to execute:

    - Divide for A & B

    - Convert for C

    - Multiply for all

Step 1: Divide the total pay by the hours for A & B

Student A:   164.50 ÷ 14 = 11.75 per hour ( Found PT.1 )

Student B:    162.00 ÷ 12 = 13.50 per hour ( Found PT.1 )

Step 2: Convert C so that it looks like A & B

Student C:    14.5(h) = p  --->   p ÷ h =   14.5 per hour ( Found PT.1 )

Step 3: Multiply the hourly rate by the 20 hours

Student A:   11.75 × 20 = 235 for 20 hours      ( Found PT.2 )

Student B:   13.50 × 20 = 270 for 20 hours     ( Found PT.2 )

Student C:   14.50 × 20 = 290 for 20 hours     ( Found PT.2 )

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I saw the comment about not being able to mark the other person brainliest because no one else answered. I'm here to fix that. Also, the answer is C.

We fail to reject the null hypothesis that the temperature level has no effect on the mean yield process.

Summary of Result:

Source | SS | df | MS | F | p-value

Treatment | 118.2 | 2 | 59.1 | 2.94 | 0.095

Error | 241.0 | 12 | 20.1 | |

Total | 359.2 | 14 | | |

To construct an analysis of variance (ANOVA) table and test whether the temperature level has an effect on the mean yield process, we need to perform the following steps:

Step 1: Calculate the total sum of squares (SST), the treatment sum of squares (SSTR), and the error sum of squares (SSE).

SST = ΣΣ(yij - ȳ)^2 = 359.2

where yij is the yield of the ith batch at the jth temperature level and ȳ is the overall mean yield.

SSTR = Σ(nj(ȳj - ȳ)^2) = 118.2

where nj is the number of batches produced at the jth temperature level, ȳj is the mean yield at the jth temperature level, and ȳ is the overall mean yield.

SSE = SST - SSTR = 241.0

Step 2: Calculate the degrees of freedom (df) for SST, SSTR, and SSE.

df(Total) = N - 1 = 14

where N is the total number of observations.

df(Treatment) = k - 1 = 2

where k is the number of treatment levels.

df(Error) = df(Total) - df(Treatment) = 12

Step 3: Calculate the mean square (MS) for SSTR and SSE.

MS(Treatment) = SSTR / df(Treatment) = 59.1

MS(Error) = SSE / df(Error) = 20.1

Step 4: Calculate the F-statistic.

F = MS(Treatment) / MS(Error) = 2.94

Step 5: Determine the critical value of F for a 0.05 level of significance with df(Treatment) = 2 and df(Error) = 12.

From a table of F-distributions, the critical value of F is 3.89.

Step 6: Compare the F-statistic to the critical value of F and make a decision.

Since 2.94 < 3.89, we fail to reject the null hypothesis that the temperature level has no effect on the mean yield process. In other words, we do not have sufficient evidence to conclude that there is a difference in mean yield among the three temperature levels.

Step 7: Summarize the results in an ANOVA table.

Source | SS | df | MS | F | p-value

Treatment | 118.2 | 2 | 59.1 | 2.94 | 0.095

Error | 241.0 | 12 | 20.1 | |

Total | 359.2 | 14 | | |

Note: The p-value is calculated as P(F > 2.94) = 0.095, which is greater than the significance level of 0.05. Therefore, we do not reject the null hypothesis.

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As the given statement has a lot of misspellings and grammatical errors, assuming that it is intended to be written as: Suppose there are no other sources of energy, and the question is to draw a light ray hitting each box to show what happens when blue light hits the box. Your rays should all start from an emanating source.

Assuming the question is about the interaction of blue light with bes and a black box, here's how the light rays would behave when they hit these boxes:

When blue light is incident on a bes (a type of Hungarian stew), it will be reflected and scattered, as is the case with any non-metallic substance. Blue light has a short wavelength, which causes it to scatter more than other colors in the visible spectrum. The short wavelengths of the blue light cause it to excite the molecules in the air, causing them to emit blue light in all directions, which is why the sky appears blue.

When blue light is incident on a black box, it will be absorbed since black absorbs all colors in the visible spectrum. When blue light is absorbed, its energy is converted into heat. Thus, the black box will warm up as it absorbs more and more blue light.

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Answer:

It is difficult to give a precise answer without more information, such as the thickness of the sauce and the desired coverage. However, if we assume that the sauce is being applied evenly and that a thin layer is desired, the amount of sauce needed to cover a 16" pizza would be approximately 50.24 in2. This is because the area of a circle with a diameter of 16" is approximately 50.24 in2. To calculate the area of a circle, you can use the formula A = πr^2, where A is the area, π is approximately 3.14, and r is the radius of the circle (which is half the diameter). In this case, the radius would be 8" and the area would be approximately 50.24 in2.

Step-by-step explanation:

Answer:

(51, 26) x-y=25 and so on

(47,33) 2x-3y=-5 and so on

(-17, -36) x-y=19 and so on

(-31, -56) 2x-y=-6 and so on

Step-by-step explanation:

Answer:

Step-by-step explanation:

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