can someone justify my answer for me -

Answer: 2, 700 cubic ft.

Step-by-step explanation:

2420  + 280 = 2, 700

The formula for volume = Length x Width x Height (L x W x H)

11 x 10 x 22 = 2420

7 x 4 x 10 = 280

2420 + 280 = 2, 700

Answer: -4 (-4/1)

Step-by-step explanation:

Slope is the rate of change, or rise over run. So in this case it is negative because to get from p to v we have to go down. Sow e go down 4, and across one, but we just say -4.

radius of small cone= 4 cm

radius of large cone= 6 cm

height of small cone= 4 cm

height of large cone= 20 cm

\(v = \frac{1}{3} \pi {r}^{2} h\)

\(v = \frac{1}{ 3} \times \pi \times {6}^{2} \times 20\)

\(v = 753.98 \: {cm}^{3} \)

\(v = \frac{1}{ 3 } \pi {r}^{2} h\)

\(v = \frac{1}{3} \times \pi \times {4}^{2} \times 4\)

\(v = 67.02 \: {cm}^{3} \)

\(v = 753.98 - 67.02\)

\(v = 686.96 \: {cm}^{3} \)

volume of smaller cone:

\( = 67.02 {cm}^{3} \)

volume of larger cone:

\( = 753.98 {cm}^{3} \)

frustum:

\( = 686.96 {cm}^{3} \)

The number of significant figures in each of the given numbers is as follows: 0.19 has 2 significant figures. 4700 has 2 significant figures. 0.580 has 3 significant figures. 5.020 × 10^7 has 4 significant figures.

In a number, significant figures represent the digits that contribute to the precision or accuracy of the measurement. The rules for determining the number of significant figures are as follows:

1. Non-zero digits are always significant. For example, in 4700, all four digits are non-zero, so they are all significant.

2. Zeros between non-zero digits are significant. For example, in 0.580, there are three significant figures: 5, 8, and 0.

3. Leading zeros (zeros to the left of the first non-zero digit) are not significant. They only indicate the position of the decimal point. For example, in 0.19, there are two significant figures: 1 and 9.

4. Trailing zeros (zeros to the right of the last non-zero digit) are significant if there is a decimal point present. For example, in 5.020 × 10^7, there are four significant figures: 5, 0, 2, and 0.

By applying these rules to the given numbers, we can determine the number of significant figures in each. It's important to understand the significance of significant figures in representing the precision of measurements. The more significant figures a number has, the more precise the measurement is considered to be.

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A correlation of .9 indicates that 81% of the variance between two variables has been explained.

Correlation measures the strength of the relationship between two variables. A perfect positive correlation is 1.0, indicating that the two variables move in the same direction together. A perfect negative correlation is -1.0, indicating that the two variables move in opposite directions. A correlation of 0 indicates no relationship between the two variables.

To determine the proportion of variance explained by a correlation, you need to square the correlation coefficient (in this case, 0.9). This is called the coefficient of determination (R^2). So, you calculate:

R^2 = (0.9)^2 = 0.81

Thus, a correlation of 0.9 explains 81% of the variance between the two variables.

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Answer:

Hello! answers:

Question 13: 12

Question 14: 18

Question 15: 15

Hope that helps!

For question 13 I found the answer by doing 6 ÷ 2 and 6 ÷ 2 = 3 so I know that 4 will be enlarged by 3 so 4 × 3 = 12 so 12 is the answer for 13

For question 14 I found the answer by using 1 of the sides so I did 24 ÷ 16 and 24 ÷ 16 = 1.5 and 1.5 × 12 = 18 so the answer is 18

For question 15 I did the same thing!

25 ÷ 20 = 1.25 and 1.25 × 12 = 15 so 15 is the answer Hope that helps!

The time study analyst should account for at least 55 observations in order to calculate the mean time per item with a 95.5% confidence level and a 0.4 minute margin of error.

We can use the sample size calculation formula in a confidence interval to get the number of observations required for a time study with the specified parameters:

\(n = (Z * \sigma / E)^2\)

Where:

n = sample size

Z = The target confidence level's Z-score (95.5% translates to roughly 1.96)

σ = procedure standard variation (1.5 minutes per piece)

E = margin of error (0.4 minutes)

Plugging in the values, we can calculate the sample size:

\(n = (1.96 * 1.5 / 0.4)^2\)

\(n = (2.94 / 0.4)^2\)

\(n = 7.35^2\)

n ≈ 54.02

We round up the sample size to the next whole number because we can't have a portion of an observation:

n = 55

Therefore, the time study analyst should prepare for at least 55 observations to estimate the mean time per item with a margin of error of 0.4 minutes and a confidence level of 95.5%.

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Answer:

Top

Step-by-step explanation:

y<-2x+6

y≤x+2

I graphed it.

Answer:

a=75

Step-by-step explanation:

Answer: 2.10x4=8.4

8.4+3.20=$11.6

$11.60 is the answer

Step-by-step explanation:

It will cost $11.6 to send 4 small packages and 1 large package.

Combining objects and counting them as one big group is done through addition. In arithmetic, addition is the process of adding two or more integers together. Addends are the numbers that are added, and the sum refers to the outcome of the operation.

Given:

Keisha is mailing packages.

Each small package costs her $2.10 to send.

Each large package costs her $3.20.

If she sends 4 small packages and 1 large package, then the amount,

= $2.10(4) + $3.20.

= $11.6

Therefore, $11.6 is the cost of the total package.

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The probability distribution of the sample mean is approximately normal, with mean of 24.4 points and standard deviation of 1.175 points.

By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation given by the equation presented as follows: \(s = \frac{\sigma}{\sqrt{n}}\).

The mean is the same as the population mean, of 24.4 points, while the shape is approximately normal.

The standard error is given as follows:

\(s = \frac{4.7}{\sqrt{16}} = 1.175\)

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The total that Tony has is 1465 while Gene has a total of 1565, hence they are not equivalent.

An equation is an expression that shows the relationship between two or more numbers and variables.

An independent variable is a variable that does not depends on other variable while a dependent variable is a variable that depends on other variable.

14 hundreds, six tens, and 5 ones = 14(100) + 6(10) + 5(1) = 1465

1 thousand, 4 hundreds, 16 tens. and 5 ones = 1(1000) + 4(100) + 16(10) + 5(1) = 1565

The total that Tony has is 1465 while Gene has a total of 1565, hence they are not equivalent.

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Answer:

Step-by-step explanation:

Gene has more, also, by the way, aren't you in my school? Do you know Ezekiel?

The higher the temperature, the fewer popsicles sold. Slope: -0.5; y-intercept: 40.

To calculate the line of best fit, we can use the two-point form of a line to calculate the slope and y-intercept. First, we will calculate the slope by using the two points (90, 20) and (50, 14). The slope is equal to the change in the y-coordinates (6) divided by the change in the x-coordinates (40). This gives us a slope of -0.5. Next, we will use the same two points to calculate the y-intercept. We already know that the slope is -0.5, so we can plug this in to the equation y = mx + b and solve for b. When we solve for b, we get 40, which is the y-intercept. This means that the equation for the line of best fit is y = -0.5x + 40.

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Answer:

6:25:4

Step-by-step explanation:

12 ml of orange juice:50ml coconut milk: 8 ml orange juice

its all divisible by 2

so it would be 6:25:4

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The probability of selecting a white marble from the box is 0.5 or 50%.

We have,

To calculate the probability of selecting a white marble from the box, we need to determine the total number of marbles and the number of white marbles in the box.

In this case, the box contains a total of 2 black marbles, 4 red marbles, and 6 white marbles.

The probability of selecting a white marble can be calculated as:

Probability of selecting a white marble = (Number of white marbles) / (Total number of marbles)

Probability of selecting a white marble = 6 / (2 + 4 + 6)

Probability of selecting a white marble = 6 / 12

Probability of selecting a white marble = 0.5

Therefore,

The probability of selecting a white marble from the box is 0.5 or 50%.

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The null hypothesis is based on the idea that there is no relationship between the variables.

What is null hypothesis?

The null hypothesis is a common statistical theory that contends that there is no statistical relationship or significance between any two sets of observed data and measured phenomena for any given single observed variable. The null hypothesis can be evaluated to determine whether or not there is a relationship between two measured phenomena, which makes it valuable. It can let the user know if the outcomes are the product of random chance or deliberate manipulation of a phenomenon.

The null hypothesis states that there is no relationship between two population parameters, i.e., an independent variable and a dependent variable. Therefore, the null hypothesis is based on the idea that there is no relationship between the variables.

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Answer:

In this section we will discuss the method of graphing an equation in two variables. In other words, we will sketch a picture of an equation in two variables.

Step-by-step explanation:

Answer:

Select these:

x

-x

40x

-30x

In all of these terms, a number is being multiplying by x (and x only) just like in the question! That's how to tell.

For the "x" option, remember that an x alone equates to 1x. So, 1 is being multiplied by x.

For the "-x" option, remember that an -x alone equates to -1x. So, -1 is being multiplied by x.

Assuming that the random variable X is normally distributed with a mean (µ) of 100 and a standard deviation (σ) of 10, you are looking to compute the probability P(X < 108). Probability in this case was found to be 0.788

To find this probability, we can utilize the standard normal distribution (Z-distribution) by converting the given value (X = 108) into a Z-score using the following formula:  Z = (X - µ) / σ
plugging in the given values, we get:
Z = (108 - 100) / 10

Z = 0.8

Now, we can find the probability P(X < 108) by looking up the corresponding value in the Z-table, which gives us the area under the standard normal curve to the left of the Z-score. For Z = 0.8, the table value is approximately 0.7881. This means that the probability P(X < 108) is approximately 0.7881, or 78.81%.

Therefore, among the given options, 0.788 is the closest and most accurate answer for the probability P(X < 108) in a normally distributed random variable with a mean of 100 and a standard deviation of 10.

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ANSWER

EXPLANATION

We want to factor the given expression using the greatest common factor.

To do this, we have to factor out common terms in the terms given in the expression. The two terms in the expression are divisible by 10.

Hence, we can factor the expression as follows:

The expression has been factored using GCF.

There are 36 possible selections when two individuals are selected at random from a group of nine people.

The number of possible selections when two individuals are selected at random from a group of nine people can be calculated by using the combination formula. Therefore, the answer to the problem is given as follows:

In this question, we are given a group of nine people and are to determine the number of possible selections when two individuals are selected at random from the group.

Since the order of selection does not matter in this problem, we can use the combination formula to solve this question. The combination formula is given as;`

nCr = n! / r!(n - r)!`

Where;n = total number of items available for selection

r = number of items being selected at a time`

!` = Factorial sign

Using the formula above, we can find the number of possible selections when two individuals are selected at random from a group of nine people as follows;

n = 9 (since there are nine people)r = 2 (since we are selecting two people at a time)

Therefore, the number of possible selections when two individuals are selected at random from a group of nine people can be given as;`

nCr = n! / r!(n - r)!``

9C2 = 9! / 2!(9 - 2)!``

9C2 = 9! / 2!7!``

9C2 = (9 * 8 * 7!) / (2 * 1 * 7!)``

9C2 = (9 * 8) / (2 * 1)``9C2 = 36`

Therefore, there are 36 possible selections when two individuals are selected at random from a group of nine people.

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Answer:

answer in picture

Step-by-step explanation:

The result of this statement would be that all employees with a salary less than 50000 would have their salaries updated to 50000 at a specific column.

1. The UPDATE statement is used to modify the existing records in a table.

2. The statement begins with the keyword UPDATE followed by the name of the table, in this case "employee".

3. The SET keyword is then used to specify the column and value to update, in this case "salary" to 50000.

4. The WHERE clause is used to specify which records should be updated, in this case all records where the salary is less than 50000.

5. The result of this statement would be that all employees with a salary less than 50000 would have their salaries updated to 50000.

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i think this is your answer: 12.0 and 12.5

The number of cards in the deck that are either a jack or a heart = 16

We know that a standard deck of cards has four suites.

These four suits are:

a) Hearts,

b) Clubs,

c) Spades,

d) Diamonds.

Each suite has thirteen cards.

These thirteen cards are:

Ace, 2, 3, 4, 5, 6, 7, 8, 9, 10, Jack, Queen and king.

This means, the entire deck of cards has 52 cards total.

The number of Jack cards in a standard deck of cards = 4

The number of Hearts in a standard deck of cards = 13

This means, there are 13 + 3 = 16 cards in the deck are either a jack or a heart.

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The average of the table is 4 and the standard deviation is 1.1547.

The average of the table is calculated using the formula (Sum of all data points) / (Number of data points). In the given table, the average is (2 + 5 + 3 + 4 + 6 + 4 + 3) / 7 = 4.

The standard deviation is calculated using the formula (Sum of Squared Differences / (Number of Data Points -1))1/2. In the given table, the standard deviation is ((\(2-4^{2}\)+ \(5-4^{2}\) +\(3-4^{2}\) + \(4-4^{2}\) + \(6-4^{2}\) + \(4-4^{2}\) + \((3-4)^{2}\) / (7-1))1/2 = 1.1547.

Therefore, the average of the table is 4 and the standard deviation is 1.1547.

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