Although similar in some ways, one difference between contingency tables and the tables used in factorial designs (e.g., "two-way ANOVAs") is:

A) the factorial analysis of variance tables display marginal figures, whereas contingency tables do not.

B) the cells in contingency tables hold frequencies, whereas the cells in factorial analysis of variance tables

represent means.

C) contingency tables, but not factorial analysis of variance tables, rely on marginal figures.

D) the numbers in the cells of factorial analysis of variance tables are means for the measured variable, whereas the numbers in the cells of contingency tables represent the means for grouping variables.

Answer: I don't know

Step-by-step explanation:

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Answer:

it's help me ttoo

Step-by-step explanation:

i need help with mathh please im going to fail

Juliet will have  13 cups mixture of the orange juice and water .

Given :-

Juliet already has 9 cups of orange juice , and she adds 32 fluid ounces of water into the  cup of orange uice syrup.

So, we have to find that how much cups of syrup does Juliet had ,

So, we know that

1 cup = 8 ounces

but she adds 32 ounces of water which means

= No. of ounces added / no. of ounces in a glass

= 32 / 8

= 4

therefore ,

9 + 4 = 13 glasses.

which means she has 13 glasses of the syrup made up of water and orange juice .

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Given that the correlation between two variables is r=0.23. We need to find out the new correlation that would exist if the following three changes are made to the existing variables: All values of the x-variable are added by 0.14. All values of the y-variable are doubled Interchanging the two variables.  the correct option is B. 0.37.

The effect of changing the variables on the correlation coefficient between the two variables can be determined using the following formula: `r' = (r * s_x * s_y) / s_u where r' is the new correlation coefficient, r is the original correlation coefficient, s_x and s_y are the standard deviations of the two variables, and s_u is the standard deviation of the composite variable obtained by adding the two variables after weighting them by their respective standard deviations.

If we assume that the x-variable is the original variable, then the new values of x and y variables would be as follows:x' = x + 0.14 (since all values of the x-variable are added by 0.14)y' = 2y (since every value of the y-variable is doubled)Now, the two variables are interchanged. So, the new values of x and y variables would be as follows:x" = y'y" = using these values, we can find the new correlation coefficient, r'`r' = (r * s_x * s_y) / s_u.

To find the new value of the standard deviation of the composite variable, s_u, we first need to find the values of s_x and s_y for the original and transformed variables respectively. The standard deviation is given by the formula `s = sqrt(sum((x_i - mu)^2) / (n - 1))where x_i is the ith value of the variable, mu is the mean value of the variable, and n is the total number of values in the variable.

For the original variables, we have:r = 0.23s_x = standard deviation of x variable = s_y = standard deviation of y variable = We do not have any information about the values of x and y variables, so we cannot calculate their standard deviations. For the transformed variables, we have:x' = x + 0.14y' = 2ys_x' = sqrt(sum((x_i' - mu_x')^2) / (n - 1)) = s_x = standard deviation of transformed x variable` = sqrt(sum(((x_i + 0.14) - mu_x')^2) / (n - 1)) = s_x'y' = 2ys_y' = sqrt(sum((y_i' - mu_y')^2) / (n - 1)) = 2s_y = standard deviation of transformed y variable` = sqrt(sum((2y_i - mu_y')^2) / (n - 1)) = 2s_yNow, we can substitute all the values in the formula for the new correlation coefficient and simplify:

r' = (r * s_x * s_y) / s_ur' = (0.23 * s_x' * s_y') / sqrt(s_x'^2 + s_y'^2)r' = (0.23 * s_x * 2s_y) / sqrt((s_x^2 + 2 * 0.14 * s_x + 0.14^2) + (4 * s_y^2))r' = (0.46 * s_x * s_y) / sqrt(s_x^2 + 0.0396 + 4 * s_y^2)Now, we can substitute the value of s_x = s_y = in the above formula:r' = (0.46 * * ) / sqrt( + 0.0396 + 4 * )r' = (0.46 * ) / sqrt( + 0.1584 + )r' = (0.46 * ) / sqrt(r' = (0.46 * ) / sqrt(r' = (0.46 * ) / sqrt(r' = r' = Therefore, the new correlation coefficient, r', would be approximately equal to.

Hence, the correct option is B. 0.37.

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Answer:

y - 3 = -3 ( x - 7 )

Step-by-step explanation:

→ It is true for all values as you substitute in the x value and get the y as the output

Part (c) is the correct option i.e. The total dealer's cost is $16588.36.

What is Percentage ?

Percentage, which is a relative figure used to denote hundredths of any quantity. Since one percent (symbolised as 1%) is equal to one hundredth of something, 100 percent stands for everything, and 200 percent refers to twice the amount specified.

Given, Cost paid for car's options = 82 % $3,098 = $2540.36

           Cost paid for base price = 85 % $15,480 = $13158.

           Destination charge = $890

∴ The total dealer's cost will be :

 = Cost paid for car's options +  Cost paid for base price +  Destination charge

=  $2540.36 + $13158 + $890

= $16588.36.

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The solution to the inequality is y ≤ -8. This means that any value of y that is less than or equal to -8 will satisfy the original inequality.

To solve the inequality y + 7 ≤ -1, we need to isolate the variable y on one side of the inequality sign.

Starting with the given inequality:

y + 7 ≤ -1

We can begin by subtracting 7 from both sides of the inequality:

y + 7 - 7 ≤ -1 - 7

y ≤ -8

The solution to the inequality is y ≤ -8. This means that any value of y that is less than or equal to -8 will satisfy the original inequality.

In the context of a number line, all values to the left of -8, including -8 itself, will make the inequality true. For example, -10, -9, -8, -8.5, and any other value less than -8 will satisfy the inequality. However, any value greater than -8 will not satisfy the inequality.

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The following question may be like this:

What is a solution of the inequality shown below? y+7≤-1

Answer:

4

Step-by-step explanation:

(a) X follows a binomial distribution with n = 12 and p = 1/6; P(X < 4) = 0.873. (b) X follows a geometric distribution with p = 1/6; P(X > 12) = (5/6)^12 ≈ 0.0326, meaning the event of not rolling a six in the first 12 throws.

(a) The distribution of X is a binomial distribution with parameters n = 12 (number of trials) and p = 1/6 (probability of success on each trial, i.e., rolling a six). We can compute P(X < 4) as follows:

P(X < 4) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3)

= (5/6)^12 + 12(1/6)(5/6)^11 + 66(1/6)^2(5/6)^10 + 220(1/6)^3(5/6)^9

≈ 0.918

(b) The distribution of X is a geometric distribution with parameter p = 1/6 (probability of success, i.e., rolling a six on each trial). We can compute P(X > 12) as follows:

P(X > 12) = (5/6)^12

≈ 0.032

This event describes the probability that it takes more than 12 rolls to get the first six. In other words, after rolling the die 12 times, you still have not rolled a six.

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The light travels 3534000 miles in 19 seconds

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

We have

d (t) =186,000 t

When the light travels in 19 s, the value of t is 19

So, we have

t = 19

substitute the known values in the above equation, so, we have the following representation

d(19) =186,000 * 19

Evaluate

d(19) = 3534000

Hence, the light travels 3534000 miles in 19 seconds

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Answer:

10

Step-by-step explanation:

multiply -4 and 3 to get -12

multiply -12 and -2 to get 24

multiply 2 and 7 to get 14

multiply 14 and 1 to get 14

subtract 14 from 24 to get 10

Hence, the number of ways be assigned to runways without using the same runway is \(240\) ways.

What is the permutation?

The term permutation refers to a mathematical calculation of the number of ways a particular set can be arranged.

Put simply, a permutation is a word that describes the number of ways things can be ordered or arranged.

Here given that,

Here are five airplanes ready to depart. runway \(A\) and runway \(D\) are available.

Number of ways to assign \(3\) planes to that runway is

\(^5C_3=^5C_2=10ways\)

Then for each group

Each group of three planes can be arranged in \(^3P_3=3!=6ways\)

Each group of three planes can be arranged in \(^2P_2=2!=2ways\)

So total number of arrangements are

\((2)(10)(6)(2)=240ways\)

Hence, the number of ways be assigned to runways without using the same runway is \(240\) ways.

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Check the picture below.

Answer: Linear.

Step-by-step explanation:

      A linear function forms a straight line when it is graphed.

      A nonlinear function will be curved in some way when graphed.

      We can graph the given points to find the answer to this question. See attached for this graph. These points create the function y = 3x + 2, which is a linear function.

The condition for the first dark fringe through a single slit of width w is when the path difference between the light waves at the edges of the slit equals a half wavelength= (λ/2).

This can be expressed mathematically as:
w * sin(θ) = (m + 1/2) * λ, where m = 0 for the first dark fringe, w is the slit width, θ is the angle of the dark fringe from the central maximum, and λ is the wavelength of light.
When light passes through a single slit, it diffracts and creates an interference pattern with alternating bright and dark fringes on a screen. The dark fringes occur when light waves from the edges of the slit interfere destructively, which means their path difference must be an odd multiple of half a wavelength (λ/2).
For the first dark fringe, we set m = 0 in the equation:
w * sin(θ) = (0 + 1/2) * λ
So, the condition for the first dark fringe is:
w * sin(θ) = λ/2

Hence, The condition for the first dark fringe through a single slit of width w is when the path difference between the light waves at the edges of the slit equals a half wavelength (λ/2). This can be represented by the equation w * sin(θ) = λ/2.

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A) The new values for the mean and standard deviation, after adding 3 points to every score, would be a mean of 53 and a standard deviation of 10. B) The new values for the mean and standard deviation, after multiplying every score by 2, would be a mean of 100 and a standard deviation of 20.

A) Adding 3 points to every score in the population would result in a shift of the entire distribution. The new mean would be the original mean plus 3, so the new mean would be 50 + 3 = 53. The standard deviation would remain the same since it measures the spread of the data relative to the mean. Therefore, the new standard deviation would still be 10.

B) Multiplying every score in the population by 2 would affect both the mean and the standard deviation. The new mean would be the original mean multiplied by 2, so the new mean would be 50 * 2 = 100. The new standard deviation would also be multiplied by 2 since it measures the spread of the data relative to the mean. Therefore, the new standard deviation would be 10 * 2 = 20.

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Answer:

60 70 80m9

Step-by-step explanation:

Answer:

Solution:- In the given figure

Side of square= 10 cm

area of square =  side x side m= 10 x 10 = 100 sq cm

Now , diameter of semi circle AOD = 2r = 10cm

⇒ radius of  semi circle AOD = 5 cm

∴ area of AOD =  

similarly Area of semicircle BOC =  

Area of white portion in figure 1 = area of square - [ area of semicircle BOD + area of semicircle AOD]

=

Total area of white portion in the given figure=

∴Area of Shaded portion = area of square - area of total white portion

=  

So the area of shaded portion is  

Now perimeter of AD(which is a semicircle) = (as perimeter of semicircle=πr)

So the perimeter of shaded region = 4×perimeter of AD=4×15.7=62.8cm

Step-by-step explanation:

Answer:

I typed in the equation to see how it would look on the graph and theres only one zero(x-intercept) on the graph.

Step-by-step explanation:

Answer:

5 weeks

Step-by-step explanation:

is she recycles 12 in 6 weeks that's 2 per week. So 2x5=10

To convert centimeters per hour, cmh, to millimeters per hour, mmh, we need to multiply by a conversion factor of 10.

1 centimeter = 10 millimeters

1 hour = 60 minutes

Therefore, 1 centimeter per hour is equal to 10/60 or 0.1667 millimeters per minute.

To convert this to millimeters per hour, we need to multiply by 60:

0.1667 mm/min x 60 min = 10 mm/hour

Thus, the rate of rain accumulation in millimeters per hour is 1.55 cm/hour x 10 mm/cm = 15.5 mm/hour.

Therefore, the rate of rain accumulation in millimeters per hour, mmh is 15.5.

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Answer:

17

Step-by-step explanation:

5w+2

Substitute w as 3

5(3)+2

Multiply

15+2

Add

17

I hope this helps!

The residential buildings' total assessed land value has the smallest standard deviation.

To determine the standard deviations for the commercial and residential buildings' total assessed land value and total assessed parcel value, we would need access to a specific dataset that includes these values. However, based on general trends and assumptions, residential buildings' total assessed land value is likely to have the smallest standard deviation.

Residential properties typically exhibit more homogeneity compared to commercial properties. Residential neighborhoods often consist of similar types of properties, with comparable land values within a specific area. As a result, the assessed land values for residential buildings are more likely to cluster around a mean value, resulting in a smaller standard deviation.

In contrast, commercial properties can vary significantly in terms of size, location, and intended use. They may be diverse in terms of their land value and parcel value. The assessed land values and parcel values for commercial buildings are more likely to have a wider range of values, leading to a larger standard deviation.  

Therefore, based on these general characteristics, the residential buildings' total assessed land value is expected to have the smallest standard deviation compared to the commercial buildings' total assessed land value and total assessed parcel value.

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Answer:

$840

Step-by-step explanation:

Callies family spends an average of $70 per month electric. At that rate what can that family expect to pay electric for 1 year

Note that:

1 year = 12 months.

Hence, if:

1 month = $70

12 months = $x

Cross Multiply

$x = 12 × $70

$x = $840

Therefore, the amount that family can expect to pay in 1 year(12 month) for electric = $840

Answer:

19c + 30

Step-by-step explanation:

Distributive property : a(b+c) = ab + ac

Explanation : simply multiply the value on the outside of the parenthesis by both the values on the inside of the parenthesis.

Here we have 1(19c + 30)

To distribute, we multiply 1 by both 19c and 30

1 x 19c = 19c

1 x 30 = 30

We're left with 19c + 30

Answer:

$31.20

Step-by-step explanation:

40% of 78 is 31.2

If r is < 0, then lambda must be:  Less than 0, Less than 1, Greater than 1  and Greater than 0. The correct answers are: A), B), C), and D).

Recall that the exponential growth or decay model is given by the function:

\(y = y0 * e^(rt)\)

where y0 is the initial value of the function, r is the rate of change (growth or decay), t is the time, and e is the mathematical constant approximately equal to 2.71828.

If r < 0, then the function represents exponential decay, and we have:

\(y = y0 * e^(rt)\)

y/y0 = e^(rt)

Taking the natural logarithm of both sides, we get:

ln(y/y0) = rt

r = (1/t) * ln(y/y0)

Since ln(y/y0) is the natural logarithm of a ratio, it can take any real value. Therefore, r can take any negative value, and there is no restriction on the value of lambda (which is\(e^r\)).

So, the correct answers are: A), B), C), and D).

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