What is the quotient?
-4/5 *2
HELP PLEASE

Answer:

38 is the correct answer

Step-by-step explanation:

6 x 7 - 16 ÷ 4

BODMAS

Division first

6 x 7 - 4

Then multiplication

42 - 4

Then subtraction

=38

If a Pearson correlation coefficient has a final value of +10, interpretation of this result is that it is an impossible value of r. Therefore, the correct option is A.

It is given that the Pearson correlation coefficient you calculated has a value of +10. This is actually an impossible value of r. Pearson correlation coefficient (r) ranges between -1 and +1. A value of +1 indicates a perfect positive correlation, while a value of -1 indicates a perfect negative correlation. A value of 0 suggests no correlation between the variables.

A value of +10 would fall outside of this range, making it an impossible value of r. Therefore, this result cannot be interpreted in terms of positive or negative correlation, nor can it be considered a significant correlation. It is important to ensure that the range of possible values is considered when interpreting statistical results. Hence, the correct answer is option A.

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The area of the regular polygons with 12 sides(dodecagon) and 5 sides (pentagon) are 389.06 in² and 19.87 in² respectively.

Area of regular polygon = 1/2 × apothem × perimeter

perimeter = (s)side length of octagon × (n)number of side.

apothem = s/[2tan(180/n)].

11 = s/[2tan(180/12)]

s = 11 × 2tan15

s = 5.8949

perimeter = 5.8949 × 12 = 70.7388

Area of dodecagon = 1/2 × 11 × 70.7388

Area of dodecagon = 389.0634 in²

Area of pentagon = 1/2 × 5.23 × 7.6

Area of pentagon = 19.874 in²

Therefore, the area of the regular polygons with 12 sides(dodecagon) and 5 sides (pentagon) are 389.06 in² and 19.87 in² respectively.

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Answer: step 1

Step-by-step explanation:

Answer:

Tiffany's mistake is step one.

Step-by-step explanation:

So we must find the probability that two independent events happen at once. These events are rolling a 5 and drawing a 5 from the deck. Since they are independent events because the result of one of them doesn't depend on the result of the other the probability that both happen is given by the product of their individual probabilities.

The probability of rolling a 5 is given by the quotient between the number of 5's in the die and the total number of faces in the die. There's only one 5 in the die and it has 6 faces so the probability of rolling a 5 is:

A standard deck has 52 cards and four of those cards are fives. Then the probability of drawing a 5 is given by the quotient between the number of fives in the deck and the total number of cards in it. Then we get:

Then the probability of rolling a 5 and then drawing a 5 from the deck is given by the product of the two probabilities that we found before:

Then the answer is 1/78.

Answer:

9. No

10. Yes

Step-by-step explanation:

The first one is not, since you have (3, 3) and (3, 9).  In a function, each x maps to a single y.

The second one is since every x appears only once.

The correct conclusion we can draw from the circle graph is an option (D) "Together, Walk and Streetcar are the preferred transportation for 165 residents."

As per the information provided, it is given that:

Bicycle is the preferred transportation for 8% of 300 residents, which is 0.08 x 300 = 24 residents.

Therefore, option (B) "Bicycle is the preferred transportation for 48 residents" is not correct, as it represents twice the actual number.

Option (A) "Bus is the preferred transportation for 25 residents" is not supported by the information in the graph, as the bus section represents 10% of the graph, but we don't know the actual number of residents who prefer the bus.

Option (C) "Together, Streetcar and Cable Car are the preferred transportation for 42 residents" is not correct, as the cable car section alone represents 27% of the graph, which is more than 42 residents.

Option (D) "Together, Walk and Streetcar are the preferred transportation for 165 residents" is supported by the information in the graph, as the walk section represents 40% of the graph, which is 0.4 x 300 = 120 residents, and the streetcar section represents 15% of the graph, which is 0.15 x 300 = 45 residents.

Therefore, the total number of residents who prefer walking or streetcar is 120 + 45 = 165.

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The probability that a hand of 6 cards contains 3 cards of one rank and 3 cards of a second rank is approximately 0.815%.

To find the probability that a hand of 6 cards contains 3 cards of one rank and 3 cards of a second rank, we can use the following formula:

P = (number of ways to choose 3 cards of one rank) * (number of ways to choose 3 cards of a second rank) * (number of ways to arrange the 6 cards) / (total number of possible hands of 6 cards)

The total number of possible hands of 6 cards is:

C(52, 6) = 20,358,520

where C(n, r) denotes the number of combinations of n things taken r at a time.

To calculate the number of ways to choose 3 cards of one rank, we first choose the rank (there are 13 choices) and then choose 3 cards from the 4 cards of that rank:

C(13, 1) * C(4, 3) = 52

To calculate the number of ways to choose 3 cards of a second rank, we choose a different rank (there are 12 choices remaining) and then choose 3 cards from the 4 cards of that rank:

C(12, 1) * C(4, 3) = 48

To arrange the 6 cards, we can simply multiply the number of ways to choose the first card by the number of ways to choose the second card, and so on, up to the sixth card. The number of ways to choose the first card is 6, since we can choose any of the 6 cards in the hand. The number of ways to choose the second card is 5, since there are now only 5 cards remaining in the hand. Continuing in this way, the number of ways to arrange the 6 cards is:

6 * 5 * 4 * 3 * 2 * 1 = 720

Putting it all together, we get:

P = (52 * 48 * 720) / 20,358,520 ≈ 0.00815

Therefore, the probability that a hand of 6 cards contains 3 cards of one rank and 3 cards of a second rank is approximately 0.815%.

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Answer:

y = x² + 11x + 24

Step-by-step explanation:

y = (x + 3)(x + 8)

Expand

y = x² + 8x + 3x + 24

Combine like terms

y = x² + 11x + 24

HP's pricing strategy allows them to capture a larger customer base, create customer loyalty and long-term profitability.

HP uses the 'razor' and 'blade' model. Here, Laser printer is sold at a lower price while the consumables (printer cartridges) are sold at higher profit margins. This strategy aims to create a recurring revenue stream from the sales of consumables, which have higher profit margins compared to the initial printer sale.

By relying on the sales of consumables, HP diversifies its revenue streams. While printer sales may have lower profit margins, the higher profit margins from consumables help offset those costs and contribute to overall profitability. This reduces HP's reliance on a single revenue source and improves financial stability.

Therefore , HP is leaning towards a scheme which aims at long-term profitability.

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A firm experiences increasing returns to scale if inputs are doubled and output more than doubles.

When the firm's output grows at a faster rate than the growth in inputs, increasing returns to scale result. In this case, the company experiences economies of scale, which makes it more effective as it grows its production.

The firm is able to boost productivity and efficiency as it expands its scale of operations if inputs are doubled and output more than doubles.

This can be ascribed to a number of things, including specialisation, labour division, the use of capital-intensive technology, discounts for bulk purchases, and spreading fixed costs over a higher output. Lower average costs per unit of output result in higher profitability and competitiveness for the company.

The firm gains a number of benefits from growing returns to scale. First off, it lets the company to benefit from cost savings brought about by economies of scale, allowing it to manufacture goods or services for less money per unit. This may enable more competitive pricing on the market or result in larger profit margins.

Second, raising returns to scale can result in better operational effectiveness and resource utilisation. As the company grows in size, it will be able to use resources more wisely and profit from production volume-related synergies.market prices that are competitive.

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Answer:

2 4/5, 0.6, -1.5, -2 3/10

Step-by-step explanation:

2 4/5, -2 3/10, -1.5, 0.6

2 4/5 = 14/5 = 2.8

-2 3/10 = -23/10 = -2.3

Greatest to least: 2 4/5, 0.6, -1.5, -2 3/10

Answer:

A

56000

700

Step-by-step explanation:

Calculate to determine that correct answer. there should be no remainder

Answer:

A is the correct answer for you equation I hope this got you an A goodbye and thank you

The probability that the phone would last the entire trip of 45 hours is 2.28%

To calculate the probability that the phone would last the entire 45-hour trip:

We need to use the concept of standard deviation and assume that the usage time follows a normal distribution.

Using Excel, we can use the following formula to calculate the probability:

= NORM.DIST (x, mean, standard deviation, cumulative)

Where x is the value we want to test, the mean is the average usage time on a full charge (30 hours), and the standard deviation is 5 hours.

To calculate the probability that the phone will last the entire 45-hour trip,

we need to find the probability that the usage time is greater than or equal to 45 hours.

= NORM.DIST (45, 30, 5, TRUE)

This gives us a probability of 0.0228 or 2.28%. Therefore, there is a very low probability that the phone will last the entire 45-hour trip.

In summary, the probability that the phone will last the entire 45-hour trip is 2.28% based on the assumption that the usage time follows a normal distribution with a mean of 30 hours and a standard deviation of 5 hours.

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It is constant because otherwise it wouldn't be proportional

The value of the function, f(1) is 3. Note that the answer is already in its simplest form and cannot be expressed as a fraction.

First, let's start by understanding what the function f(x) represents. The function f(x) takes an input value x and returns an output value based on a specific rule. In this case, the rule is defined by the equation f(x) = 4(1/4)^x+2.

To find f(1), we need to substitute 1 in place of x in the equation for f(x). So, we get:

f(1) = 4(1/4)^1 + 2

Now, we need to simplify this expression. Recall that any number raised to the power of 1 is just that number itself. So, (1/4)^1 is just 1/4.

Therefore, we can simplify the expression as follows:

f(1) = 4(1/4) + 2

= 1 + 2

= 3

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The weight of unknown block  on each side of the scale is 1.5 grams.

The number of blocks on 1 side  = 5 blocks

Now, 3 blocks  = 3 grams each

⇒Total weight of 3 blocks  = (3 grams) times  3  = 9 grams

2 blocks  = x grams each

⇒Total weight of 2 blocks  = (x grams) 2  = 2 x grams

So the total weight on 1 side  = weight of 5 blocks combined

= 9 grams + 2x  grams = (9 + 2x) grams

The total weight on other side of scale =  8  blocks times (x grams)

= (8x) grams

Now, The SCALE IS BALANCED if :

(9 + 2x) grams  =  (8x) grams

or, 9 + 2x = 8x

⇒9 = 8x - 2x = 6x

or, x  = 9/6 = 1.5

⇒ x = 1.5 grams

Hence, the weight of unknown block  on each side of the scale is

1.5 grams, so that the scale is balanced.

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The sum of forecast errors is also known as total forecast error. Therefore, the correct answer is option A, which is "2."

The absolute error of the given data is calculated by subtracting the actual value from the forecasted value, followed by the absolute value.

The errors are then summed up to get the mean absolute deviation. The value used for ||18−20|| in the calculation of MAD and summing up the forecast errors is 2.

Therefore, the correct answer is option A, which is "2."Formula for calculating MAD:MAD = Σ ( | A_i - F_i | ) / n

Where: MAD is the mean absolute deviation|A_i - F_i| represents the absolute error between the actual value (A) and the forecasted value (F)n is the total number of observations, Sum of forecast errors:Σ ( A_i - F_i )Where: A_i is the actual valueF_i is the forecasted value

The sum of forecast errors is also known as total forecast error.

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The compression strength distributions are essentially normal.

Given info;

An article sought to compare the compression strength of strawberry drink-filled aluminum cans versus cola-filled cans. Does the information below imply that cola's additional carbonation increases its average compression strength? based on a p-value for your response.

From table,

H₀ : µ₁ - µ₂ = 0

Ha : µ₁ - µ₂ < 0

n₁ = n₂ = 15

x₁ = 540, s₁ = 21

x₂ = 554, s₂ = 15

df = 25

t = -2.10

Here, it is left-tailed and df=25, so the p-value of the test for t = -2.10 is 0.0229.

Since the p-value is less than 0.05, we reject the null hypothesis.

Rejecting H₀, the data suggests that cola has a higher average compression strength than the strawberry drink.

The distributions of compression strength are approximately normal.

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a. The standard error of the mean can be calculated using the formula:

Standard Error of the Mean = standard deviation / square root of sample size.

In this example, the standard deviation is given as 80 minutes and the sample size is 40. Plugging these values into the formula:

Standard Error of the Mean = 80 / √40 ≈ 12.727

Therefore, the standard error of the mean in this example is approximately 12.727 minutes.

b. To find the likelihood that the sample mean is greater than 320 minutes, we need to calculate the z-score for this value and then find the corresponding probability from the z-table.

The formula for z-score is:

z = (x - μ) / (σ / √n)

In this case, x is the sample mean of 320 minutes, μ is the population mean (330 minutes), σ is the standard deviation (80 minutes), and n is the sample size (40).

Plugging in these values:

z = (320 - 330) / (80 / √40) ≈ -0.447

Now, referring to Appendix B1 for the z-values, we can find the corresponding probability. The z-value of -0.447 corresponds to a probability of approximately 0.3264.

Therefore, the likelihood that the sample mean is greater than 320 minutes is approximately 0.3264.

c. To find the likelihood that the sample mean is between 320 and 350 minutes, we need to calculate the z-scores for these values and then find the corresponding probabilities from the z-table.

Using the same formula as in part b, we can calculate the z-scores:

For 320 minutes:
z = (320 - 330) / (80 / √40) ≈ -0.447

For 350 minutes:
z = (350 - 330) / (80 / √40) ≈ 1.118

Referring to Appendix B1, the z-value of -0.447 corresponds to a probability of approximately 0.3264, and the z-value of 1.118 corresponds to a probability of approximately 0.8686.

To find the likelihood between these two values, we subtract the probability corresponding to the lower z-value from the probability corresponding to the higher z-value:

0.8686 - 0.3264 ≈ 0.5422

Therefore, the likelihood that the sample mean is between 320 and 350 minutes is approximately 0.5422.

d. To find the likelihood that the sample mean is greater than 350 minutes, we can use the z-score formula:

z = (x - μ) / (σ / √n)

Plugging in the values:
z = (350 - 330) / (80 / √40) ≈ 1.118

Referring to Appendix B1, the z-value of 1.118 corresponds to a probability of approximately 0.8686.

Therefore, the likelihood that the sample mean is greater than 350 minutes is approximately 0.8686.

e. In this example, we assume that the distribution of times for taxpayers to prepare, copy, and electronically file an income tax return follows a normal distribution. This assumption is based on the given statement that the distribution of times follows the normal distribution.

By assuming a normal distribution, we can use z-scores and the z-table to calculate probabilities and make inferences about the sample mean. However, it is important to note that this assumption may not hold true in all cases, and other statistical methods may need to be used if the data does not follow a normal distribution.

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The graph of the quadrilateral ABCD is attached below

To plot the graph of a quadrilateral, we need to know the coordinates of its four vertices. Let's say the coordinates of the vertices are A(x₁, y₁), B(x₂, y₂), C(x₃, y₃), and D(x₄, y₄).

Here are the steps to plot the graph of the quadrilateral:

1. Draw a coordinate plane on a sheet of graph paper.

2. Plot the points A, B, C, and D on the coordinate plane using their respective coordinates. Label the points accordingly.

3. Draw line segments connecting the vertices of the quadrilateral. For example, connect points A and B, B and C, C and D, and D and A.

4. Check that the sides of the quadrilateral are not intersecting each other. If the sides intersect, then the quadrilateral is not a valid shape.

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The substitution effect, denoted by ε*, measures the change in quantity demanded of q1 due to the relative price change, while the income effect, denoted by θξ, measures the change in quantity demanded of q1 due to the change in purchasing power. The total effect, denoted by ε, combines both the substitution and income effects.

To calculate the substitution effect, we need to evaluate the price elasticity of demand for q1, which measures the responsiveness of quantity demanded to a change in price. The income effect depends on the income elasticity of demand, which measures the responsiveness of quantity demanded to a change in income. These elasticities can be calculated using the given utility function, but specific price and income data are required.

Without the actual price and income data, it is not possible to provide the exact numerical values for the substitution, income, and total effects. The effects can only be determined with the necessary information and by performing the appropriate calculations using the utility function. The values of ε*, θξ, and ε will depend on the specific price and income changes that are considered.

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The hole will be of a radius of 7.63 inches when its perimeter is 48 inches.

The hole is in the form of a circle.

The perimeter of the circle = perimeter of the hole = 48 inches.

Let r be the radius of the vent,

The perimeter of the circle is known as the Circumference.

Circumference of the circle is given by \(2\pi r\)

So,

\(2\pi r = 48\\\\2*\frac{22}{7} *r =48\\\\r =\frac{48*7}{22*2} =7.63\)

The hole will be of a radius of 7.63 inches.

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Answer:

v = - 31

Step-by-step explanation:

v - 5 = 6 x (-6) multiply 6 by - 6

v - 5 = -36 Add 5 to both sides of the =

+5 +5

v = -31