Consider a family that generates 20 loads of laundry in a week. based on the data in the table, what is the total number of people in the family?

enter your answer and your justification in the space provided.

Answer:

maybe if i know the answer ill help

Answer:

where is the question . ..... we are ready to help you

We have x = 81 repeat itself. Any time x repeats, it means we don't have a function.

Put another way, the input x = 81 leads to more than one y output. A function is only possible if any given input leads to exactly one output. The input must be in the domain.

Answer:

Translation: Moving an apple from one area to another area.

Reflection: Mirrors.

Rotation: Rotating a car wheel.

Step-by-step explanation:

The probability that the sample mean will be within plus minus 2 of the population mean if the sample size is n = 100 between z-scores of 0 and 2.5 using a z-table.

The standard deviation of the sample distribution, commonly known as the standard error, can be computed using the formula given that the population mean is 100 and the standard deviation is 16:

Standard Error = Standard Deviation / sqrt(sample size)

Let's determine the likelihoods for sample sizes of n = 100 and n = 400:

For n = 100:

Standard Error = 16 / sqrt(100) = 16 / 10 = 1.6

We can determine the z-scores for the upper and lower boundaries to establish the likelihood that the sample mean will be within plus or minus 2 of the population mean:

Lower Bound z-score = (Sample Mean - Population Mean) / Standard Error

Lower Bound z-score = (100 - 100) / 1.6

Lower Bound z-score = 0

Upper Bound z-score = (Sample Mean - Population Mean) / Standard Error

Upper Bound z-score = (104 - 100) / 1.6

Upper Bound z-score = 4 / 1.6

Upper Bound z-score = 2.5

We can calculate the region under the normal distribution curve between z-scores of 0 and 2.5 using a z-table or statistical software. This shows the likelihood that the sample mean will be within +/- 2 standard deviations of the population mean.

For n = 400:

Standard Error = 16/√400

Standard Error = 16/20

Standard Error = 0.8

We determine the z-scores by following the same procedure as above:

Lower Bound z-score = (Sample Mean - Population Mean) / Standard Error

Lower Bound z-score = (100 - 100) / 0.8

Lower Bound z-score = 0

Upper Bound z-score = (Sample Mean - Population Mean) / Standard Error

Upper Bound z-score = (104 - 100) / 0.8

Upper Bound z-score = 4 / 0.8

Upper Bound z-score = 5

Once more, we may determine the region under the normal distribution curve between z-scores of 0 and 5 using a z-table or statistical software.

A larger sample size, like n = 400, has the benefit of a lower standard error. The sampling distribution of the sample mean will be more constrained and more closely resemble the population mean if the standard error is less.

As a result, there is a larger likelihood that the sample mean will be within +/- 2 of the population mean. In other words, the estimate of the population mean gets more accurate and dependable as the sample size grows.

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Answer:

(0, - 9 )

Step-by-step explanation:

the y- intercept is where the line crosses the y- axis

the line crosses the y- axis at (0, - 9 ) and is the y- intercept

OPTION E is the correct answer.

Hope it helps you...

Answer:

I don't know I don't know about question

Answer:

angle 4

Step-by-step explanation:

Answer:

oh.. maybe you can install photomath

Answer:

y=(x+4)^2

Step-by-step explanation:

A trick I use is if it is a plus sign then it goes left, if it is a minus sign then it goes right.

To use the least-squares regression line to predict the outcome (y-value) for a specific x-value in your data, follow these steps:

1. Start by calculating the equation of the least-squares regression line using the given data. This line represents the best fit to the data points.

2. Once you have the equation of the regression line, plug in the x-value for which you want to predict the y-value. This will give you the predicted y-value.

3. To calculate the predicted y-value, substitute the x-value into the equation of the regression line and solve for y. This will give you the estimated outcome based on the regression line.

4. Remember that the least-squares regression line is a line of best fit and provides an approximation. It does not guarantee an exact prediction for each individual data point.

In conclusion, you can use the least-squares regression line to predict the outcome (y-value) for a specific x-value by calculating the equation of the line and substituting the x-value into the equation. However, keep in mind that this is an estimation based on the best fit to the data.

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The equation of the line with a slope of 1 passing through the point (0, 2) is y = x + 2.

To verify this, we can substitute the coordinates of the given point (0, 2) into the equation y = x + 2:

2 = 0 + 2

This equation holds true, confirming that the line y = x + 2 passes through the point (0, 2) and has a slope of 1.

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Answer: 4.5

Step-by-step explanation:

The best description of the probability of drawing a king from the deck is 1 out of 13, or 1/13.

The probability of drawing a king from a standard deck of 52 playing cards can be determined by dividing the number of favorable outcomes (number of kings) by the total number of possible outcomes (total number of cards in the deck).

In a standard deck, there are 4 kings (one king for each suit: hearts, diamonds, clubs, and spades). Therefore, the number of favorable outcomes is 4.

The total number of possible outcomes is 52 (the total number of cards in the deck).

So, the probability of drawing a king is:

Probability = Number of favorable outcomes / Total number of possible outcomes

Probability = 4 / 52

Simplifying the fraction gives us:

Probability = 1 / 13

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The formula used to gain information about an individual data value when the variable is normally distributes is,  Z = (X - μ)/σ.

What is standard normal distribution?

The standard normal distribution, also known as the z-distribution, is a unique type of normal distribution in which the mean and standard deviation are both equal to 1.

Any normal distribution's values can be transformed into z scores to standardize it.

Z scores indicate the number of standard deviations away from the mean that each value represents.

The Z score is determined by the number of standard deviations above or below the mean for the standard normal distribution.

When a variable (let's say X) is normally distributed, then to get insights from its distribution, we transform it (i.e. X) into standardized variable (which constitutes "Standard" Normal Distribution).

Standardized variable, Z, is given by  (X - μ)/σ

Hence, option B is correct answer.  Z = (X - μ)/σ.

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Complete question:

Complete question is attached below.

Scales on a wall, change of units conversion

1 inch = 4 1/2 feets

7 1/8 inches = ?

First convert to fractions

(4 + 1/2) • ( 7 + 1/8) =

apply distributive law ( a+b)•(c+d)= ac + ad + bc + bd

then length of wall= 4•7 + 4/8 + 7/2 + 1/16

= 28 + 8/16 + 56/16 + 1/16

= 28 + 64/16 + 1/16

= 28 + 4 + 1/16

= 32 + 1/16

lenght is 32 and 1/16 feet

Answer:

answer given in the phot

Answer:

s 3i I mean it's 3

Step-by-step explanation:

it is say what is the square root of 15 so what gives you 15 3

Answer:

704cm³

Step-by-step explanation:

v=bh

v=176*4

v=704

The process capability index (Cp) for this bottle filling operation is approximately 1.11.

To calculate the process capability of the bottle filling operation, we can use the process capability index, also known as Cp.

Cp is calculated by dividing the tolerance width by six times the process standard deviation.

The tolerance width is the difference between the upper and lower tolerance limits, which in this case is 37 - 35 = 2 ounces.

The process standard deviation is given as 0.3 ounces.

Therefore, the process capability index (Cp) can be calculated as:

Cp = (Upper tolerance limit - Lower tolerance limit) / (6 * Process standard deviation)

= 2 / (6 * 0.3)

≈ 2 / 1.8

≈ 1.11

A Cp value greater than 1 indicates that the process is capable of meeting the specified tolerance limits. In this case, the bottle filling operation is slightly capable of meeting the tolerance limits, as the Cp value is just above 1. However, it's important to note that other process capability indices such as Cpk should also be considered to assess the process capability more comprehensively, especially if there are potential issues with process centering or variation.

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Answer:

374 feet^2

Step-by-step explanation:

Surface area:

area of cross section x 2 = 110feet^2

area of tope x 2 = 264 feet^2

sum / Surface area: 374 feet^2

Answer:

1. 78, 51, 51

or

2. 78, 78, 24

Step-by-step explanation:

180-78=102

102/2=51

180-78-78=24

Please find the photograph for the square root of 3.

4√3

= 4 × 1.732

= 6.928

6.928

Hope it helps

The rectangle which should go in position I is rectangle A.

We are given that;

The rectangles A,B,C and D with numbers

Now,

To take the same the number of side

If we take A on 1 place

F will be on second place

And  B will be on 4th place

Therefore, by algebra the answer will be rectangle A.

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Answer:

Supplementary angles.

Step-by-step explanation:

We can define two big groups of pairs of angles.

Complementary and supplementary angles.

Two angles are complementary if the sum of their measures is equal to 90°

Two angles are supplementary if the sum of their measures is equal to 180°

Here, we have the angles 160° and 20°, and we know that their sum is 180°

Then we can conclude that the given angles fall in the group of the supplementary angles.

The critical value t for the given parameters is approximately 1.753.

To determine the critical value t for a 85% confidence interval with degrees of freedom (df) equal to 15, we can use a t-distribution table or a statistical software.

The critical value t depends on the desired confidence level and the degrees of freedom. In this case, with a confidence level of 85% and 15 degrees of freedom, we need to find the value from the t-distribution table.

Consulting a t-distribution table or using statistical software, the critical value t for a 85% confidence interval with 15 degrees of freedom is approximately 1.753 (rounded to three decimal places).

Therefore, the critical value t for the given parameters is approximately 1.753.

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Determine the critical value t for a 85% confidence interval with df=15.

The critical value t is: _____

(Provide your answer with 3 decimal places)

Therefore, there are 18 oranges in each box.

An equation is a mathematical statement that shows that two expressions are equal to each other. It typically consists of two sides separated by an equal sign (=), with mathematical expressions or variables on each side. Equations can be used to describe many different relationships and properties in mathematics, science, and engineering.

Here,

To represent the relationship described in the problem, we can use the following model or diagram:

4 boxes with b oranges per box, plus 1 free orange = 73 oranges in total

This can be written as the equation:

4b + 1 = 73

To solve for b, we need to isolate it on one side of the equation. We can start by subtracting 1 from both sides to get:

4b = 72

Then, we can divide both sides by 4 to get:

b = 18

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In order to solve this problem, we'll use the Combinations Formula. This is because the order in which the coins are flipped is unimportant; all that matters is the total number of heads and tails. We'll begin by counting the number of ways to get exactly 4 tails and exactly 8 tails, then the number of ways to get 5 tails and 6 tails, and finally the number of ways to get 7 tails. We will then add all of these numbers together to get the final answer.

When you toss a coin, there are only two possibilities: heads or tails.

Let's call the number of times you get tails "t." We want to find the number of ways to toss the coin 11 times so that

4 <= t <= 8.

Here's how we can do it:

First, we'll find the number of ways to get exactly 4 tails. We know that we're flipping the coin 11 times, so there are 11 choose 4 ways to choose which 4 of those tosses will be tails. The other 7 tosses will be heads. Using the Combinations Formula, this gives us:

11 choose 4 = 330

Next, we'll find the number of ways to get exactly 8 tails. This is similar to the previous step, except that we're choosing 8 of the 11 tosses to be tails. The other 3 tosses will be heads. Using the Combinations Formula, this gives us:

11 choose 8 = 330

Again, using the Combinations Formula, we can find the number of ways to get exactly 5 tails and 6 tails:

11 choose 5 = 462

11 choose 6 = 462

Finally, we need to find the number of ways to get exactly 7 tails. This is a little trickier, but we can do it by splitting the problem into two cases: when the first toss is a tail and when the first toss is a head.

Case 1: The first toss is a tail. Then we need to get 6 tails in the remaining 10 tosses. There are 10 choose 6 ways to choose which 6 of the remaining 10 tosses will be tails. Using the Combinations Formula, this gives us:

10 choose 6 = 210

Case 2: The first toss is a head. Then we need to get 7 tails in the remaining 10 tosses. There are 10 choose 7 ways to choose which 7 of the remaining 10 tosses will be tails.

Using the Combinations Formula, this gives us:

10 choose 7 = 120

Adding up all of these numbers, we get:

330 + 330 + 462 + 462 + 210 + 120 = 1914

So there are 1914 ways to toss a coin 11 times so that the number of tails is between 4 and 8 inclusive.

Thus, the required answer is 1914.

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