In triangle LMN, the measure of angle L is 50° and the measure of angle M 70°. What is the measure of the exterior angle to angle N?

The diameter of the tree increased by 0.27in. (approximately) and the change in tree's cross section area is 27.5 in.².

As given in the question,

Diameter of the tree 'd' = 14in.

Radius = 7in.

Circumference of the tree = πd

                                            = 3.14 × 14

                                            = 43.96 in.

New circumference increased by 4 in. = 43.96 + 4

                                                                = 47.96in.

New diameter = 47.96 / 3.14

                        = 15.27 in. (approximately)

New Radius ≈ 7.6 in.

Increase in diameter= 15.27 - 15

                                  = 0.27 in.

Area of cross section original tree = 3.14 × 7²

                                                         = 153.9 in.²

New area of cross section original tree = 3.14 × 7.6²

                                                                 = 181.4 in.²

Change in area = 181.4 - 153.9

                          = 27.5 in.² ( approximately)

Therefore, increase in diameter is 0.27in. and change in cross - section area is 27.5 in.²

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Reject this null hypothesis because the p-value (0.0523) is lower than the significance level (0.10) in this case.

Let p represent the fraction of the population.

Taking into account the provided data, we have

Null hypothesis: H0 : p ≤ 0.35.

Alternative hypothesis: H1 : p > 0.35, the test is a right-tailed test since the alternative is right-tailed;

For the stated question-

n = 1000; p' = 0.42.

Test statistics for this sample proportion:

z = (p' - p) / √p(1 - p)/n

Put the values-

z = (0.42' - 0.39) / √0.39(1 - 0.39)/1000

z = 1.94

P-value for this right tailed test is;

P(z > 1.94) = 0.0523

Therefore reject this null hypothesis because the p-value (0.0523) is lower than the significance level (0.10) in this case.

We draw the conclusion that we have enough data to back up the company's claim at the 0.10 level.

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Answer:

Step-by-step explanation:

(3, 12721) and (5,10835)

(10835 -12721) - (5-3)

-1886/2 = -943

Answer:

y = 0.8x

Step-by-step explanation:

Parallel lines have the same slope but different y-intercepts

Bottom line slope can be found by noting that it passes through points

(0, -3.2) and (4,0)

Then find the difference in y values which is called  the rise

Find the corresponding difference in x values called the run

rise/run = slope

For the bottom line
Rise = 0 - (-3.2) = 3.2

Run = 4 - 0 =4

So slope m = 3.2/4 = 0.8

Slope of top line is also 0.8

Since it passes through origin there is no y-intercept

So equation of top line is simply
y = 0.8x

According to the image, if U is simply connected, then so V is also simply connected as U and V are conformally equivalent.

If an analytic map f: U V is 1-1 and onto, then two open sets U and V in C are said to be conformally comparable. A conformal equivalence between U and V is the name given to such a f. The conformal equivalence between V and U is then f1(w). A function called conformal mapping, which is defined on the complex plane, changes a given curve or set of points on a plane while keeping each of the curve's angles. For resolving physics and engineering issues with awkward geometries that may be described as functions of a complex variable, conformal mappings are useful. The analyst can change the awkward geometry into a lot more useful one by selecting the right mapping.

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Answer:

C. 150

Step-by-step explanation:

Divide 1,350 by 9, which gives you 150 (with no remainders)

Answer:

150

Step-by-step explanation:

1350 divided by 9

The value of y in the intersected lines is 80.

When lines intersect, angle relationships are formed such as vertically opposite angles, linear angles, angles on a straight line etc.

Therefore, the value of y in the angles can be found as follows:

10y - 12 = 3x + 29 (vertically opposite angles)

vertically opposite angles are congruent.

Hence,

10y - 12 = 3x + 29

10y - 3x = 41

6x - 3 + 10y - 12 + 37 = 180 (sum of angles on a straight lines)

6x + 10y = 180 + 3 + 12 - 37

6x + 10y = 158

combine the equation

10y - 3x = 41

10y + 6x = 158

9x = 117

x = 117 / 9

x = 13

6(13) + 10y = 158

10y = 158 - 78

10y = 80

y = 80 / 10

y = 8

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Answer:

Step-by-step explanation:

The standard form for the given expression is 3x³ - 3x² - 2x - 5.

A polynomial can be written in standard form by writing its terms in descending order of their powers and the constant terms comes at the end.

The given polynomial is (x - 1)(3x² + 7x + 5).

It can be written in standard form as follows,

(x - 1)(3x² + 7x + 5)

= x(3x² + 7x + 5) - 1(3x² + 7x + 5)

= 3x³ + 7x² + 5x - 3x² - 7x - 5

= 3x³ - 3x² - 2x - 5

Hence, the given expression can be written in standard form as,

3x³ - 3x² - 2x - 5

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Answer:

243 inches to the 3 power

Step-by-step explanation:

The quantity can also be expressed as a function equation in cups of coffee per hour is; f(x) = 5x

We are told that a gas station is open for the 365 days of the year and 24 hours each day.

Thus,

Total number of hours in the year = 365 * 24 = 8760 hours

Now, the number of cups they served for the year = 40000 cups

Now, the rate of cups per hour = 40000/8760 = 4.566 ≈ 5 cups per hour

The quantity can also be expressed as a function equation in cups of coffee per hour; f(x) = 5x

where;

x is the number of hours

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The probability is 0.04.

Define probability sampling.

The sampling probability of an element or member of the population in statistics, in the theory relating to sampling from finite populations, is its likelihood of being included in the sample during the drawing of a single sample.

Probability sampling refers to the selection of a sample from a population when this selection is based on the principle of randomization, that is, random selection or chance. When compared to non-probability sampling, probability sampling is more difficult, time-consuming, and typically more expensive.

Solution Explained:

Given,

x = 7, n = 10, p = 0.85 and q = 0.15

Using the formula,

P(X=6) = [tex]_{n}C_{x} (0.85)^{n} (0.15)^{x}[/tex]

           = [tex]_{10}C_{6} (0.85)^{6} (0.15)^{4}[/tex]

           = 210(0.377)(0.0005)

           = 0.04

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The first is an ordered list of integers, the second is an ordered list of integers, and the third is an unsorted list of texts in JAVA. (Refer to the coding shown below.)

In order to have as few implementation dependencies as feasible, Java is a high-level, class-based, object-oriented programming language.

Java is an object-oriented, cross-platform programming language (OOP).

JavaScript, a scripting language used to build dynamic web pages, should not be confused with it.

Java is one of the most widely used programming languages in the world because of its dependability and simplicity.

So, the generic class needed to compare any kind of data structure is created by the Java code that follows.

Both integers and strings were employed in three different test situations.

The first is a list of integers in ascending order, the second is a list of integers in descending order, and the third is a list of texts that are not sorted.

The image below that is attached shows the results.

import java.util.Scanner;

class Brainly {

  public static void main(String[] args) {

      Scanner in = new Scanner(System.in);

      System.out.println("Order: " + checkOrder(10, 22, 51, 53));

      System.out.println("Order: " + checkOrder(55, 44, 33, 22));

      System.out.println("Order: " + checkOrder("John", " Gabriel", "Daniela", "Zendaya"));

  }

  public static <E extends Comparable<E>> int checkOrder(E var1, E var2, E var3, E var4) {

      E prevVar = var1;

      if (var2.compareTo(prevVar) > 0) {

          prevVar = var2;

      } else {

          if (var3.compareTo(prevVar) < 0) {

              prevVar = var3;

          } else {

              return 0;

          }

          if (var4.compareTo(prevVar) < 0) {

              return 1;

          }  else {

              return 0;

          }

      }

      if (var3.compareTo(prevVar) > 0) {

          prevVar = var3;

      }

      if (var4.compareTo(prevVar) > 0) {

          return -1;

      }

      return 0;

  }

}

Therefore, the first is an ordered list of integers, the second is an ordered list of integers, and the third is an unsorted list of texts in JAVA. (Refer to the coding shown below.)

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Answer:

Option A

Step-by-step explanation:

→ Simplify all the options

a. 5/6 and b is 2/3

Answer:

Step-by-step explanation:

Yes it is because if the amount of Pavers change so does the cost.

The type of variable required is Qualitative with two possible outcomes.

An estimate level of uncertainty is expressed by a range of values known as a confidence interval.

Keeping in mind, the z-score and other data's decimal places should be preserved when generating the confidence interval upper and lower bounds. The responses will be accurate and round-off errors will be prevented.

Also, the confidence interval boundaries are expressed in percentages. The maximum value of 0.8740, for instance, is 87.4% in decimal notation.

Make sure to specify the confidence level, the percentage of the population that the confidence interval actually captures, and the bounds expressed in percentages when expressing the meaning of the confidence interval.

Hence, the type of variable required to construct a confidence interval for a population​ proportion is Qualitative with 2 possible outcomes.

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The distance of the triathlon, given the time Ingrid spent swimming, biking, and running, is  61.5 miles

To find the distance of the triathlon, find the distance of the individual events which are the running, swimming, and biking. Then sum these distances up to find the triathlon distance that Ingrid ran.

The distance for swimming:
= Rate x Number of hours

= 3 x 0.5 hours

= 1.5 miles

The distance for biking:

= 12 x 3

= 36 miles

The distance for running:
= 6 x 4

= 24 miles

The triathlon distance is:

= 1.5 + 36 + 24

= 61.5 miles

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Answer:

Function: V(t) = 40,000(0.81^(4t))

Quarterly rate of change: -19.00%

Answer:

(28-16)

Step-by-step explanation:

x=7

4x-16

If x is 7

then it is 4x7 = 28

Therefore we can say 28-16 is our final answer.

Thank you.

Answer:

  28 ft²

Step-by-step explanation:

You want the area of a triangle with a base of 7' and a height of 8'.

The formula for the area of a triangle is ...

  A = 1/2bh

where b is the base of the triangle, and h is the height perpendicular to the base.

Here, it is convenient to use the side marked 7' as the base of the triangle. The distance marked 8' is the perpendicular distance from the base to the top of the triangle. So, the area is ...

  A = 1/2(7 ft)(8 ft) = 28 ft²

The area of the triangle is 28 square feet.

__

Additional comment

As you can see, the vertex opposite the base does not need to lie above the base segment. All that matters is the perpendicular distance from that vertex to the base line.

Answer:

0.6 x 94

Step-by-step explanation:

You can convert 60% into a decimal, by moving the decimal place twice to the left, and it will still be the same. So, we have 0.60. Then, usually the term "and" means addition, but that is not in one of the answers, so I suppose they mean multiplication. So, we can set up this equation:

0.6 x 94

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The value of ' a 'indicating no association between gender and voting pattern for the people in the sample is 500.

A sample is a result of a random experiment. We sample a random variable when we select a specific value from among its possible possibilities. A exact value is that of a sample. The potential values and likelihood of each are determined by the random variable's probability distribution. They should be picked at random from a broader group or population in order to assist you understand more about the population as a whole. Samples are employed in statistical testing when population sizes are too big for all prospective participants or observations to be included in the test.

Here,

Considering Split ticket,

a + b = 600  ---(1)

Considering No Split ticket,

c + d = 400    ---(2)

Considering Men,

a + c = 800      ---(3)

Considering Women,

b + d = 200       ---(4)

Applying (1) - (4),

a + b -  b - d= 600 - 200

a - d = 400    ---- (5)

Applying (2) - (4),

c + d - b - d = 400- 200

c - b = 200  ----(6)

a - c = 200 --- (7)

Applying (3) + (7)

2a = 1000

a = 500

For those in the sample, the value of "a" showing there is no correlation between gender and voting behavior is 500.

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The 95% confidence interval for the mean tip percentage is (3.49, 4.22)

Confidence interval is the two-sided limit consisting of the lower limit and the upper limit and the value between the two limits is the parameter value.

For this question, we have given a graph of the data, so we only need to see the data and interpret that to answer the question.

First, since confidence interval is 95% so we must see 2.5% limit for two side or equal to 0.025.

For the lower limit, see upper value of dot plot then see separate lowest 0.025 of data is 3.491 or 3.49.

For the upper limit, see lower value of dot plot then see separate highest 0.025 of data is 4.224 or 4.22.

Thus, the 95% confidence interval is (3.49, 4.22) for the mean tip percentage.

Your question is incomplete, but most probably your full question was (image attached)

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As per the question, the following presumptions need to be true in order to run the binomial test for a population proportion:

a) A simple random sample (SRS) drawn from the population of interest must be used to gather the data. The sample's observations must be unrelated to one another. A binary answer variable is required (i.e., it can only take on two possible values, such as "success" and "failure").

The Central Limit Theorem must be applicable, hence the sample size must be sufficient (i.e., np and nq must both be greater than 5, where p is the proportion of successes in the population and q is the proportion of failures in the population).

From the facts given, it is unclear whether these presumptions are true. In example, it is unclear whether the observations are independent or whether the data was gathered from a straightforward random sample.

b) For this test, the following alternative and null hypotheses are presented:

The actual percentage of female students at ACME University is 0.64, which is null. Alternately, the actual percentage of female students at ACME University is less than 0.64.

c) The p-value must be determined before the binomial test can be run at the = 7% significance level. A statistical software program or a binomial test calculator can be used for this.

The p-value for this test is 0.05309 assuming the binomial test assumptions are met. This suggests that there is a 5.3% chance of generating a sample proportion as little as or smaller than the one seen in the survey if the null hypothesis is true (i.e., the true proportion of women among ACME University students is 0.64).

We can reject the null hypothesis in favor of the alternative hypothesis because the p-value is smaller than the significant level (0.05309 0.07). In other words, we can infer that the actual percentage of female students at ACME University is less than 0.64.

d) Our findings would remain unchanged if the significance criterion was raised to 5%. Because the p-value is still below the significance level (0.05309 0.05), the alternative hypothesis would still be accepted instead of the null hypothesis.

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2p+3q=16 and p+q=35 are system of equations used to find the number p of two-point shots and the number q of three-point shots you make

Two or more expressions with an Equal sign is called as Equation.

We need to find the number p of two-point shots and the number q of three-point shots you make.

a total of 16 two-point and three-point shots in a basketball game.

2p+3q=16

Total score is of 35 points.

p+q=35

These two equations 2p+3q=16 and p+q=35 can be used to find the  number p of two-point shots and the number q of three-point shots you make.

Hence, 2p+3q=16 and p+q=35 are system of equations used to find the number p of two-point shots and the number q of three-point shots you make

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The Arrhenius plot can be used to determine the value of the pre-exponential factor.

The slope of the Arrhenius plot can be used to find the activation energy. The Arrhenius plot can also be used by extrapolating the line back to the y-intercept to obtain the pre-exponential factor. The Arrhenius equation is     k = Ae^(-Ea/RT), where A is the frequency or pre-exponential factor and  e^(-Ea/RT) represents the fraction of collisions that have enough energy to overcome the activation barrier at temperature T.

In chemical kinetics, the pre-exponential factor is the pre-exponential constant in the Arrhenius equation, an empiorical relationship between temperature and rate coefficient. The pre-exponential factor is a constant that can be derived experimentally or numerically. It is also called frequency factor.

In chemical kinetics, an Arrhenius plot displays the logarithm of a reaction rate constant, plotted against reciprocal of the temperature. Arrhenius plots are often used to analyze the effect of temperature on the rates of chemical reactions. Arrhenius plots show that reaction rates are inversely proportional to temperature changes.

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Answer:

Step-by-step explanation:

The odds arent favorable its a 2/11 chance of happening

Answer:

c) 2 2 over 5 = 2 2/5

Step-by-step explanation:

Forming the equation,

→ (1/3)b = 4/5

Now the value of b will be,

→ (1/3)b = 4/5

→ b = (4/5) ÷ (1/3)

→ b = (4/5) × (3/1)

→ b = (4 × 3)/(5 × 1)

→ b = 12/5

→ [ b = 2 2/5 ]

Hence, value of b is 12/5.

The fundamental regression assumption that the error terms are independent of one another is broken when substantial autocorrelation is shown following the estimation of a regression model. Here option C is the correct answer.

The two error factors must be somewhat co-correlated in order for there to be autocorrelation. Having it indicates that the correlation between the two error factors is not equal to zero. It goes against the fundamental tenet of the traditional linear regression approach.

Autocorrelation measures the relationship between a variable's current value and its historical values. A perfect positive correlation is represented by an autocorrelation of 1, whereas a perfect negative correlation is represented by an autocorrelation of 1.

An explanation of how one or more independent variables relate to the target variable, response variable, or dependent variable that the regression model predicts.

Complete question:

When severe autocorrelation is indicated after a regression model has been estimated, which underlying regression assumption is violated? A - The dispersion of population data points around the population regression line remains constant everywhere along the line

B - The population of values is normally distributed about the population regression line.

C - Heteroscedasticity

D - The error terms are independent of each other.

E - A linear relationship exists between X and Y in the population

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