Joeph drove 27 mile in 1 1/3 hour. If he drove at a contant rate, how far did he travel in one hour?

Answer:

\(86\)

Step-by-step explanation:

The remaining part forms 360. so

\(233 + 41 + x = 360\)

\(274 + x = 360\)

\(x = 86\)

Answer:

if you’re looking for b,

B = 86

sorry if wrong

The percentage change in laptop orders is 83%

Percentage is a measure of frequency. It the fraction of an amount expressed as a number out of hundred. Percentages are represented with the sign %.

In order to determine the percentage change, the first step is to determine the change in laptop leased.

Change in laptops leased = 22 - 12 = 10 laptops

This means that the number of laptops leased increased by 10

The second step is to express the change laptops leased  as a fraction of the laptop leased last year and multiply by 100

10/12 x 100 = 83%

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Answer:

Step-by-step explanation:

1/2

Answer:

3/4 0.75 75%

Good luck!

Step-by-step explanation:

Can I have brainliest? It would help me out, if not thanks anyways! Hope this helped and have a nice day!

Answer:

8.25 pounds

bsnNMNsjsjshs

(a) If Y ~ Normal(0, σ^2), then Y^2 ~ Chi-Squared(1) distribution. Therefore, q(Y, σ) = Y^2/σ^2 ~ Chi-Squared(1)/1 = Chi-Squared(1) distribution.

(b) Yes, q(Y, σ) is a pivotal quantity because its distribution does not depend on the unknown parameter σ.

(a) If Y ~ N(0, σ^2), then Y^2/σ^2 ~ χ^2(1) distribution. To see this, we can use the definition of the chi-squared distribution as the sum of squared standard normal variables. Let Z ~ N(0,1), then Y/σ = Z/√(σ^2) ~ N(0,1), and (Y/σ)^2 = Z^2/σ^2 ~ χ^2(1).

(b) Yes, q(y,σ) is a pivotal quantity. A pivotal quantity is a function of the data and the unknown parameters whose distribution does not depend on the unknown parameters. In this case, q(y,σ) = Y^2/σ^2 ~ χ^2(1), which does not depend on the unknown parameter σ^2. Therefore, q(y,σ) is a pivotal quantity.

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Answer:

kdwnoioinfeoawfbcaeiuhvaeoihvaeoidvajae

Answer:

3 x X - 14

Step-by-step explanation:

Is your algebra expression.

Answer:

3x-14

Step-by-step explanation:

Product of 3 and number is 3*x

For " 14 fewer than.." we simply subtract 14.

So we get 3x-14

Answer:

C . x/12

Step-by-step explanation:

John is 10 years old and Marcus is 15 years old.

Let the present age of John be j years.

Present age of Marcus = (j + 5) years

Five years ago: Age of John = (j - 5) years

Age of Marcus = ((j + 5) - 5) years = j years

According to the given statement, five years ago he was 2 times older than John. i.e.

j = 2(j - 5)

j = 10

So, present age of John = j = 10 years

Present age of Marcus = (j + 5) = 15 years

Thus, John is 10 years old and Marcus is 15 years old.

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Answer:

150kg

Step-by-step explanation:

50 oranges ----- 7.5 kg

1000 -------   x

50 * x = 1000 * 7.5

x = 7500 / 50

= 750/5

=150

The company can maximize its revenue by charging the price of $73 per phone.

Changing the price and monitoring how many phones are sold in reaction to the price change allows for trial-and-error in determining accuracy.

With 520 phones sold each week at $73, the corporation will make a total of $38,160 in revenue. There are 20 more phones than when it was charging $75, thus the business will make an additional $1,500 every week.

Due to the increased number of phones sold, the corporation may increase revenue by merely $2 by lowering the price, leading to an increase in both total revenue and profit.

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Wilbur's plane descended at a rate of 0.2, point, 2 kilometers per minute. After 15 minutes, he reached the ground. To find the total distance traveled, we can use the formula: distance = rate x time. In this case, the distance traveled by the plane can be calculated by multiplying the rate of descent (0.2, point, 2 km/min) by the time taken to descend (15 minutes). Therefore, the total distance traveled by Wilbur's plane is 3.3 kilometers.

The formula distance = rate x time is commonly used in physics to calculate the distance covered by an object moving at a constant rate. In this case, the rate of descent of Wilbur's plane was given as 0.2, point, 2 km/min, and the time taken to descend was 15 minutes. Plugging these values into the formula, we get the total distance traveled as 3.3 kilometers.

Wilbur traveled a total of 3.3 kilometers during his plane's descent at a rate of 0.2, point, 2 km/min, which took him 15 minutes. The formula distance = rate x time can be used to calculate the distance traveled by an object moving at a constant rate.

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Answer:

a. 0, -6, -18, -21, -90

b. 3, 0, -6, -18, -42

c. A starting point of any number ≥ 6 will result in a sequence of positive values

Step-by-step explanation:

Here the sequence is governed by the rule:
\(\sf a_{n} = 2(a_{n-1} - 3)\)
\(\textsf {where $a_n$ is the nth term and $a_{n-1}$ is the previous term}}\)

1) Starting with a₁ = 0 we get
a₂ = 2(a₁ - 3) = 2(0 - 3) = -6
a₃ = 2(a₂ - 3) = 2(-6 -3) = 2(-9) = -18
a₄ = 2(a3 - 3) = 2(-18 - 3) = 2(-21) = -42
a₅ = 2(a₄ - 3) = 2(-42- 3) = 2(-45) = -90

So the first 5 numbers in the sequence starting with 0 are:
0, -6, -18, -21, -90

2) I will approach this slightly differently

We have the relationship:
\(\sf a_{n} = 2(a_{n-1} - 3)\)

Expanding the brackets we get
\(\sf a_{n} = 2a_{n-1} - 6\)

We have a₁ = 3
a₂ = 2(a₁) - 6 = 2(3) - 6 = 6 - 6 = 0
a₃ = 2(a₂) - 6 = 2(0) - 6 = -6
a₄ = 2(a₃) - 6 = 2(-6) - 6 = -18
a₅ = 2(a₄ ) - 6 = 2(-18) - 6 = -42

The sequence starting with 3 is:
3, 0, -6, -18, -42

Both methods work exactly the same, some students find expanding the brackets easier to deal with

c. We can see that as a₁ increases, the number of negative numbers decreases by 2. So, in order for all numbers to be positive (> 0) we should start with a sufficiently large number so that all numbers are positive

The smallest such number is 6.
When a₁ = 6, the sequence is all 6s because
a₂ = 2(6) - 6 = 12 - 6 = 6

So the next number is a₃ = 12(6) - 6 = 6 and so on

So any starting point ≥ 6 will yield positive values. At 5 the sequence would be: 5, 4, 2, -2, -10 so starting point of 5 will not work

Answer:

256

Step-by-step explanation:

First..

8*2=16

Now

16 (squared)=256

Answer:

The answer is 32

Step-by-step explanation:

8 x 2 is 16

16 is 2 is 32

pls give me brainliest, I show work

Answer:

use ph0t03ath its answers every math question

rand() % 6 expression is most appropriate for randomly choosing a day of the week .

Rand generates random number and This number is produced using an algorithm that, each time it is run, outputs a string of numerical values that seem unrelated.

A % B generates the number less than or equal to the B.

Therefore , for randomly choosing a day of the week we can use  rand() % 6 as there are 7 days in a week and  rand() % 6 returns any number between 0 to 6 as Total 7 days.

The best statement for choosing a day of the week at random is rand()% 6.

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Answer:

a+b/2 *h

2+4/2=3

3h=3(2)

=6

Area=6

Hope this helps

Step-by-step explanation:

Answer:

hope this helps you

Answer:

It is 22 duhhhhhhhhhhhhhhhhhhh

Answer:

4

Step-by-step explanation:

Haha thank you for this

With a margin of error of 0.03 and 95% confidence level the sample size 22 is needed.

In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of , we have the following confidence interval of proportions.

π ± z√π(1-π)/n

In which

z is the z score that has a p value of 1-a/2 .

The margin of error is :

M = z√π(1-π)/n

In 16% of all homes with a stay-at-home parent, the father is the stay-at-home parent,

This means that π = 0.16

What sample size is needed if the research firm's goal is to estimate the current proportion of homes with a stay-at-home parent in which the father is the stay-at-home parent with a margin of error of 0.03 (round up to the next whole number).

This is n for which M = 0.03. So

M = z√π(1-π)/n

0.03 = z√(0.16×0.84/n)

0.03√n = z√0.16×0.84

√n = (z√0.16×0.84)/0.03

(√n)² = [(z√0.16×0.84)/0.03]²

n = [(z√0.16×0.84)/0.03]²,  in which z is related to the confidence level.

95% confidence level :

So a =0.05, z is the value of Z that has a p value of 1 - 0.05/2 = 0.975, so Z = 1.96.

n = [(z√0.16×0.84)/0.03]²

n = [(1.96√0.16×0.84)/0.03]²

n = 21.95

Therefore, a sample size of 22 is needed.

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Putting forecast errors into perspective is best done using MAPE and MAD. These are two common measures of forecast accuracy that can help evaluate the performance of a forecasting model and put forecast errors into perspective.

MAPE (Mean Absolute Percentage Error) measures the average absolute percentage difference between actual and forecasted values. This metric is useful because it expresses forecast accuracy in relative terms, allowing us to compare forecast errors across different data sets and time periods. However, it can be sensitive to extreme values and can be misleading when dealing with small or negative actual values. MAD (Mean Absolute Deviation) measures the average absolute difference between actual and forecasted values, without regard for direction. This metric is more robust to extreme values and is easier to interpret than MAPE, making it a popular choice for evaluating forecast accuracy. Using MAPE and MAD, we can identify areas where the forecasting model is performing well and where it needs improvement. By putting forecast errors into perspective, we can make informed decisions about how to adjust our forecasting approach to improve accuracy and reliability.

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The probability that a dishwasher will need repairs during its first six years, as given in the company records, is an example of classical probability. Correct option is D.

Classical probability is a type of probability that is based on assumptions and theoretical considerations. It is also called theoretical probability. It is used to determine the probability of an event occurring in a situation where all possible outcomes are known and equally likely.

In this case, the company records provide the probability of the event (dishwasher needing repairs during its first six years), and it is assumed that all dishwashers have an equal chance of needing repairs.

In contrast, empirical probability is based on actual observations or data collected from past events. It involves calculating the probability of an event based on the frequency with which it has occurred in the past.

Subjective probability, on the other hand, is based on personal judgment or beliefs about the likelihood of an event occurring. It is often used in situations where there is a lack of data or uncertainty. Public probability is not a recognized type of probability. Therefore, correct option is D.

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The prime factorization of the number 21 is:

21 = 3*7

We want to write the prime factorization of 21.

To do so, we just need to divide the number by prime numbers.

The first prime number we can try is 2, if we divide by 2 we get:

21/2 = 10.5

This is not an integer, so 2 is not a factor.

The next one is 3:

21/3 = 7

Now we can rewrite:

21 = 3*7

Where 3 and 7 are prime numbers, so that is the prime factorization.

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In anova, by dividing the mean square between groups by the mean square within groups, a(n) Analysis of variance  statistic is computed.

What is Analysis of variance ?

What are some instances where ANOVA has been applied?

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Therefore, the linearization of f(x) = cos(x) at a = π/2 is L(x) = π/2 - x.

The linearization of a function f(x) at a point a is given by:

L(x) = f(a) + f'(a)(x - a)

where f'(a) denotes the derivative of f(x) evaluated at x = a.

In this case, we have:

f(x) = cos(x)

a = π/2

First, let's find f'(x):

f'(x) = -sin(x)

Then, we can evaluate f'(a):

f'(π/2) = -sin(π/2) = -1

Next, we can plug in the given values into the formula for linearization:

L(x) = f(a) + f'(a)(x - a)

L(x) = cos(π/2) + (-1)(x - π/2)

L(x) = 0 - x + π/2

L(x) = π/2 - x

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The level of service for the urban freeway is level E, and the density is 61.25 vehicles per mile.

To determine the level of service for the urban freeway, we can use the Highway Capacity Manual (HCM) method, which considers factors such as traffic volume, speed, and density.

Based on the given traffic flow of 2500 vehicles per hour and a design speed of 60 mph, the capacity of the four-lane freeway can be calculated as 8000 vehicles per hour. Using this value, along with the interchange spacing of 0.33 miles, we can determine the density of the freeway, which is 61.25 vehicles per mile.

Using the HCM method, the level of service is determined by comparing the freeway density to the capacity, which results in a level of service of E. Level E indicates that the freeway is operating at or near its capacity, and delays are frequent.

In conclusion, the urban freeway has a level of service classified as E, and density of the freeway, which is the number of vehicles per mile, is calculated to be 61.25.

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Answer:

90-19 =71 I hope it will help you please follow me

The advantages of the superposition theorem compared to other circuit theorems are its simplicity and modularity in circuit analysis, as well as its applicability to linear circuits.

Superposition theorem is a powerful tool in circuit analysis that allows us to simplify complex circuits and analyze them in a more systematic manner. When compared to other circuit theorems, such as Ohm's Law or Kirchhoff's laws, the superposition theorem offers several advantages. Here are two key advantages of the superposition theorem:

Simplicity and Modularity: One major advantage of the superposition theorem is its simplicity and modular approach to circuit analysis. The theorem states that in a linear circuit with multiple independent sources, the response (current or voltage) across any component can be determined by considering each source individually while the other sources are turned off. This approach allows us to break down complex circuits into simpler sub-circuits and analyze them independently. By solving these individual sub-circuits and then superposing the results, we can determine the overall response of the circuit. This modular nature of the superposition theorem simplifies the analysis process, making it easier to understand and apply.

Applicability to Linear Circuits: Another advantage of the superposition theorem is its applicability to linear circuits. The theorem holds true for circuits that follow the principles of linearity, which means that the circuit components (resistors, capacitors, inductors, etc.) behave proportionally to the applied voltage or current. Linearity is a fundamental characteristic of many practical circuits, making the superposition theorem widely applicable in real-world scenarios. This advantage distinguishes the superposition theorem from other circuit theorems that may have limitations or restrictions on their application, depending on the circuit's characteristics.

It's important to note that the superposition theorem has its limitations as well. It assumes linearity and works only with independent sources, neglecting any nonlinear or dependent sources present in the circuit. Additionally, the superposition theorem can become time-consuming when dealing with a large number of sources. Despite these limitations, the advantages of simplicity and applicability to linear circuits make the superposition theorem a valuable tool in circuit analysis.

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