Pls help me I’m in need of this

Answer:

false, true, true

Step-by-step explanation:

hope this is gonna help u :D

Answer:

false true, true

Step-by-step explanation:

so 1 is false 2 is true  3 is true

i think

Answer:

The change is increased by 80%.

Step-by-step explanation:

Divide 36 by 45. This gives you 0.8. Divide 36 by 0.8 and multiply 45 by 0.8 to check your answer. So, it is increased by 80%. To find out how percents change, divide the first number by the second number. Then, take the decimal and move the decimal point over to the right two spaces, or multiply the entire number by 100.

The method of data analysis depends on the research objectives.

The chosen analytical techniques and approaches for data analysis should align with the specific goals and objectives of the research study.

Different research objectives may require different data analysis methods. For example, if the objective is to identify patterns or themes in qualitative data, methods such as thematic analysis or content analysis may be appropriate. On the other hand, if the objective is to determine the relationship between variables, quantitative analysis techniques like regression analysis or hypothesis testing may be used.

Therefore, the most crucial factor in determining the method of data analysis is the research objectives.

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The sum of the squared deviations of each individual sample observation from the mean of all observations is referred to as the within-group sum of squares or the error sum of squares in one-way ANOVA.

In one-way ANOVA (analysis of variance), the sum of the squared deviations of each individual sample observation from the mean of all observations is referred to as the "within-group sum of squares" or the "error sum of squares."

ANOVA is a statistical method used to compare the means of two or more groups to determine if there are significant differences among them. In one-way ANOVA, we have a single independent variable (or factor) that divides the data into different groups or levels.

The goal is to assess whether the variation within the groups is significantly smaller than the variation between the groups.

To calculate the within-group sum of squares, we first compute the mean of each group and then calculate the squared deviation of each observation within its respective group mean.

These squared deviations are then summed across all groups to obtain the total within-group sum of squares.

The within-group sum of squares represents the variability of the data within each group or sample.

It quantifies how far the individual observations deviate from their respective group means.

Smaller values indicate less variability within each group, suggesting that the observations are more homogeneous within the groups.

Conversely, the between-group sum of squares measures the variability between the group means.

It reflects the differences among the sample means and indicates whether the groups have distinct characteristics or if the differences are due to random chance.

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The cost of three points for the homebuyers is $739.80.

To calculate the cost of three points for the homebuyers, we need to determine the value of each point and then multiply it by three.

Given:

Loan amount: $137,000

Interest rate without points: 5.05%

Interest rate with points: 4.87%

The difference between the two interest rates is the value of one point.

Interest rate difference = 5.05% - 4.87% = 0.18%

To find the value of one point, we calculate 0.18% of the loan amount:

Value of one point = 0.18% * $137,000

Value of one point = 0.0018 * $137,000

Value of one point = $246.60

Now, to determine the cost of three points, we multiply the value of one point by three:

Cost of three points = $246.60 * 3

Cost of three points = $739.80

The price of three points for the homebuyers is therefore $739.80.

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Answer: 77°

Step-by-step explanation:

103° - 90°= 13°,  13° = 10 min

13°+13°= 26°

103°-26°= 77°

So, approximately, the main entrance and the kitchen are 4.47 yards apart by distance equation.

The distance formula is used to calculate the distance between two points in a coordinate plane. The formula is based on the Pythagorean theorem and involves finding the square root of the sum of the squares of the differences in the x-coordinates and the y-coordinates of the two points.

In this case, we are given two points: (-9, 8) and (-5, 6). To find the distance between these two points, we can plug the coordinates into the distance formula, which gives us:

distance = √[(x2 - x1)² + (y2 - y1)²]

where x1 and y1 are the coordinates of the first point and x2 and y2 are the coordinates of the second point.

Plugging in the given coordinates, we get:

distance = √[(-5 - (-9))² + (6 - 8)²]

which simplifies to:

distance = √[4² + (-2)²]

The square of 4 is 16, and the square of -2 is also 4 (since the negative sign is squared away), so we can simplify further:

distance = √[16 + 4]

distance = √[20]

Finally, we take the square root of 20 to get the distance:

distance ≈ 4.47 yards.

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The equations is inconsistent and has infinitely many solutions. The solution set can be written as {(x, (33-22z)/11, z) : x, z E R}.

This is a system of three linear equations with three variables, x, y, and z. The system can be represented in matrix form as AX = B where A is the coefficient matrix, X is the variable matrix, and B is the constant matrix.

A = |1 -3 -8| |2 5 6| |3 2 -2|

X = |x| |y| |z|

B = |-10| |13| | 3|

To determine the number of solutions for this system, we can use Gaussian elimination to reduce the augmented matrix [A|B] to row echelon form.

R2 - 2R1 -> R2

R3 - 3R1 -> R3

A = |1 -3 -8| |0 11 22| |0 11 22|

X = |x| |y| |z|

B = |-10| |33| |33|

Now we can see that there are only two non-zero rows in the coefficient matrix A. This means that there are only two leading variables, which are y and z. The variable x is a free variable since it does not lead any row.

We can express the solutions in terms of the free variable x:

y = (33-22z)/11

x = x

z = z

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The sum of the two numbers can be either 11 or -11.

Let's assume the two numbers as x and y.

Given that the sum of the squares of the two numbers is 73, we can write the equation as:

x^2 + y^2 = 73 ---(1)

Also, the product of the two numbers is 24, which gives us another equation:

xy = 24 ---(2)

To find the sum of the two numbers (x + y), we can use the identity:

(x + y)^2 = x^2 + 2xy + y^2

Expanding the above equation, we have:

x^2 + 2xy + y^2 = (x^2 + y^2) + 2xy

Substituting the values from equations (1) and (2), we get:

(x + y)^2 = 73 + 2(24)

(x + y)^2 = 73 + 48

(x + y)^2 = 121

Taking the square root of both sides, we get:

x + y = ±11

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The null and alternative hypotheses are:

H0: β1 = 0 (The slope is not significant.)

H1: β1 ≠ 0 (The slope is significant.)

Here,β1=0.0943seβ1=0.107α=0.05

Test the slope significance and find the t-test statistic.

We need to find the t-test statistic so that we can compare it with the t-distribution, whose distributional properties we know, to determine if we can reject or fail to reject the null hypothesis.t-test statistic is calculated by dividing the value of β1 by its standard error (seβ1) and taking the absolute value of this quotient.

t-test statistic = | β1/seβ1 | = |0.0943/0.107| = 0.881

The degrees of freedom (df) associated with this t-test are df = n - 2, where n is the sample size for the explanatory variable x.

In this problem, the decision rule and conclusion are as follows:

Decision Rule: Reject the null hypothesis if |t-test statistic| > tc where tc is the critical value obtained from the t-distribution with df degrees of freedom and a significance level of α/2 in each tail.

Conclusion: The slope is not significant if we fail to reject the null hypothesis, but the slope is significant if we reject the null hypothesis. Since the t-test statistic (0.881) is less than the critical value (1.987), we fail to reject the null hypothesis. Therefore, we conclude that the slope is not significant.

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The domain of the function is all real numbers while the range of the function is also all real numbers.

The domain of the function t(n) = 2x + 1 is all real numbers, since there are no restrictions on the input value of x. The range of the function is also all real numbers, since adding 1 to any real number will also result in a real number. So the domain is (-infinity, infinity) and the range is (-infinity, infinity)

We have to note that in the event that we have a function such as t(n) = 2x+1, x is free to take any of the values on the real number line and this would return a value for t(n).

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If you rent a car, you should choose Option 3 and accept the fixed price of $50 for gasoline if you expect to drive 150 miles.

1. Total gasoline consumed (gallons):

To calculate the total gasoline consumed, divide the expected distance by the car's fuel efficiency:

Total gasoline consumed = Distance / Fuel efficiency

Total gasoline consumed = 150 miles / 28 miles per gallon

Total gasoline consumed ≈ 5.36 gallons

2. Option 1 cost:

In Option 1, you need to return the car with a full gas tank. Since the car has a 16-gallon tank and you've consumed approximately 5.36 gallons, you need to fill up the remaining 16 - 5.36 = 10.64 gallons.

Option 1 cost = 10.64 gallons * $3.95 per gallon = $42.01

3. Option 2 cost:

In Option 2, you return the car without filling it up and pay $5.45 per gallon. As calculated before, you've consumed approximately 5.36 gallons.

Option 2 cost = 5.36 gallons * $5.45 per gallon = $29.20

4. Option 3 cost:

In Option 3, you accept the fixed price of $50 for gasoline. This fixed price is the most cost-effective option compared to the other two choices.

Therefore, the best choice is Option 3, accepting the fixed price of $50 for gasoline, as it offers a better value for the expected distance of 150 miles.

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Answer:

The answer would be 22.8 it would have to  be rounded down so 412 could make 22 pint sized servings.

Step-by-step explanation:

Answer:

CP = 4500

SP = 5175

As the SP is greater than the CP, it is a profit

Profit = 675

Profit percent = (Profit / CP) * 100

=> (675/4500) * 100

=> 675/45 (As the 2 zeros of hundred in the numerator is cancelled by the 2 zeros of the 4500 in the denominator)

=> 15 (Once you divide 675 by 45)

=> 15 % profit

Therefore, Profit = 15 %

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Answer:

The mass of 3.5 moles of Ca (Sodium)  is 140 g to two significant figures.

The volume of the freezer can be calculated by multiplying its length, width, and height. Therefore, the volume of the freezer in cubic inches is:

V = 36 * 24.5 * 72.5 = 64,620 cubic inches

Therefore, the volume of the freezer is 64,620 cubic inches.

We expect approximately 95% of the distribution to fall within two standard deviations of the mean.

In a bell-shaped distribution, known as a normal distribution, approximately 95% of the values are expected to fall within two standard deviations of the mean. Given that the mean number of jobs submitted per day is 64 and the standard deviation is 12, we can calculate the range within which 95% of the distribution is expected to fall.

To find the range, we multiply the standard deviation by 2 and then add and subtract this value from the mean:

Lower range: 64 - (2 * 12) = 40

Upper range: 64 + (2 * 12) = 88

Therefore, we expect that approximately 95% of the distribution of the number of jobs submitted per day will fall within the range of 40 to 88.

Based on the given mean of 64 jobs and a standard deviation of 12, we can expect that approximately 95% of the distribution will fall within the range of 40 to 88 jobs submitted per day. This indicates the central portion of the distribution where the majority of the data points are likely to be located in a bell-shaped distribution.

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The side lengths that cannot form a triangle are: 2 ft, 3 ft, 8 ft.

To utilize the gross profit method, the following information is needed:

1. Beginning Inventory: The value of inventory at the beginning of the accounting period is required.

It represents the cost of inventory available for sale before any purchases or sales occur.

2. Net Sales: The total amount of sales made during the accounting period, excluding any sales returns, allowances, or discounts.

3. Gross Profit Percentage: The gross profit percentage is calculated by dividing the gross profit by net sales. It represents the proportion of net sales that contributes to covering the cost of goods sold.

4. Ending Inventory: The value of inventory at the end of the accounting period is necessary. It represents the cost of unsold inventory that remains on hand.

By using the gross profit percentage, the method allows for estimating the cost of goods sold (COGS) during the accounting period based on the net sales and the desired gross profit percentage. The estimated COGS can then be subtracted from the beginning inventory to determine the estimated ending inventory.

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Answer:

y = -3x + 20

Step-by-step explanation:

Slope: - 3

b = -1 - (-3)(7) = -1 + 21 = 20

Answer:

6.78

Step-by-step explanation:

Answer:

Y=2x-4

horizontal asymptote:no

semoga membantu

To find the average rate of change of revenue, we need to calculate the difference in revenue function and divide it by the difference in quantity produced.

Let's calculate the revenue at x₁ = 2 and x₂ = 4:

R(x₁) = 4x₁ - x₁² = 4(2) - 2² = 8 - 4 = 4

R(x₂) = 4x₂ - x₂² = 4(4) - 4² = 16 - 16 = 0

Now, let's calculate the difference in revenue:

ΔR = R(x₂) - R(x₁) = 0 - 4 = -4

And calculate the difference in quantity produced:

Δx = x₂ - x₁ = 4 - 2 = 2

Finally, we can find the average rate of change of revenue:

Average rate of change = ΔR / Δx = -4 / 2 = -2

Therefore, the average rate of change of revenue is a decline of $2 for every extra unit sold.

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Answer:

Step-by-step explanation:

(3x-2)(3x+1)

Answer:

(3x - 2)(3x + 1)

Step-by-step explanation:

9x^2 - 3x - 2 = 9x^ 2 - 6x  + 3x - 2 =

=3x(3x - 2) + (3x - 2) = (3x - 2)(3x + 1)

Let the integer be X

2x+64=99

2x= 99-64

2x= 34

x=34÷2

X= 17.5

According to the infographic, women constitute approximately 15-19% of members of Congress, less than 15% of state legislators, and 25-50% of statewide executives and mayors in the top 100 cities.

According to the information provided in the infographic, the following options apply:

Women constitute approximately 25-50% of statewide executives and mayors in the top 100 cities.

Women constitute approximately 15-19% of members of Congress.

Women constitute less than 15% of state legislators.

Therefore, the correct options are:

15-19%

Less than 15%

25-50%

The infographic presents data on the percentage of women overall in elected office and the share of Latinas in elected office. The data indicates that women constitute less than 15% of state legislators, approximately 15-19% of members of Congress, and 25-50% of statewide executives and mayors in the top 100 cities. This suggests that women are underrepresented in elected office at all levels of government, with the exception of statewide executives and mayors in the top 100 cities. The infographic underscores the need for greater gender diversity in elected office, and the importance of supporting and encouraging women to run for political office at all levels of government.

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Complete question:

The infographic shows percentages of women overall in elected office as well as the share of Latinas in elected office. Women constitute approximately what percentage of members of Congress, statewide executives, state legislators, and mayors in the top 100 cities? Check all that apply.

19-25%

Less than 15%

15-19%

25-50%

2(x - 4) + 2x = 18, where x represents the width.

2x - 8 + 2x = 18 (Distribute 2)

4x - 8 = 18 (Add like terms)

4x = 26 (Add 8 to both sides)

x = 6.5 (Divide 4 from both sides)

Length = x - 4 (Length is 4 less m than Width [x - 4])

6.5 - 4 = 2.5 (Substitue in x)

Length = 2.5

The length is 2.5 meters and the width is 6.5 meters.

You can check by adding 2.5 + 2.5 + 6.5 + 6.5 = 18.

P(80 < X < 125) = 0.9525 - 0.0918

P(80 < X < 125) = 0.8607

This means that approximately 86.07% of people have IQ scores between 80 and 125.

To answer this question, we need to calculate the standardized score (also known as z-score) for both 80 and 125:

z-score for 80: (80-100)/15 = -1.33

z-score for 125: (125-100)/15 = 1.67

Once we have the z-scores, we can use a standard normal distribution table or calculator to find the proportion of scores between them. Alternatively, we can use the following formula:

P(80 < X < 125) = P(Z < 1.67) - P(Z < -1.33)

Using a standard normal distribution table or calculator, we can find that P(Z < 1.67) is approximately 0.9525 and P(Z < -1.33) is approximately 0.0918.

Therefore:

P(80 < X < 125) = 0.9525 - 0.0918

P(80 < X < 125) = 0.8607

This means that approximately 86.07% of people have IQ scores between 80 and 125.

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Answer:

2.4(12×4)

2.4* 48

= 115.2

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