The length of the missing side

Answer:

hlo

buddy

msg me on

navneet175285

Step-by-step explanation:

njkmmnu

An writing format called R Markdown (. Rmd) makes it simple to create dynamic documents, presentations, and reports with R.

It mixes R code chunks that are embedded and run so that their result can be included in the final document with the basic grammar of R markdown, a simple plain text format. The following are some benefits of utilizing R markdown: explicitly connects your data, R code, and output to produce a workflow that is completely reproducible. You can include ALL of the R code that was used to explore, summarize, and analyze your data in a single, simple-to-read document.

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Answer:

\(y=-\frac{3}{4}x-2\)

Step-by-step explanation:

Substitute into point-slope form and rearrange to slope-intercept form.

\(y+8=-\frac{3}{4}(x-8) \\ \\ y+8=-\frac{3}{4}x+6 \\ \\ y=-\frac{3}{4}x-2\)

Inferential statistics enable you to decide if the null hypothesis is false. Option B is correct.

The null and alternative hypotheses are two generalizations about a population that are strictly contradictory. The null hypothesis can be denoted by H₀ and the alternative hypothesis can be denoted by H₁.

A situation or phenomenon can be explained by using inferential statistics. It differs fundamentally from descriptive statistics, which merely summarize the data that has actually been measured, in that it allows you to draw conclusions based on extrapolations.

Thus, inferential statistics enable you to decide if the null hypothesis is false. Option B is correct.

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(a)The population of interest is the entire university community at Botho University. (b)The sample is the random sample of 200 members. (c)The average time spent in the library, which is 30 minutes, is a statistic because it is computed from the sample and represents a characteristic of the sample, not the entire population.

a) The population of interest in this case would be the entire university community at Botho University. It includes all members of the university community who could potentially spend time in the library.

b) The sample in this case is the random sample of 200 members that was taken from the university community. It represents a subset of the population of interest and is used to make inferences about the larger population.

c) In this case, 30 minutes is a statistic, not a parameter.

A statistic is a value calculated from a sample that describes some characteristic of the sample. In this case, the average time spent in the library, which is 30 minutes, was computed from the sample of 200 members. It represents the average time spent in the library by the sampled members.

On the other hand, a parameter is a value that describes a characteristic of the population. Since the average time spent in the library is based on the sample and not the entire population, it cannot be considered a parameter.

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The probability that a randomly selected relay is not defective is 0.929 or 92.9%.The probability that a randomly selected non-defective relay is manufactured by Plant 2 is approximately 0.307 or 30.7%.

To solve this problem, we can use the law of total probability and Bayes' theorem. Let's calculate the probabilities step by step.

Given information:

- Plant 1 produces 50% of the company's product.

- Plant 2 produces 30% of the company's product.

- Plant 3 produces 20% of the company's product.

The probabilities of a relay being defective based on the manufacturing plants are as follows:

- Plant 1: P(defective | Plant 1) = 0.10 (10%)

- Plant 2: P(defective | Plant 2) = 0.05 (5%)

- Plant 3: P(defective | Plant 3) = 0.03 (3%)

(a) Probability that a randomly selected relay is not defective:

To find this probability, we can use the law of total probability by considering the probabilities of selecting a relay from each plant.

P(not defective) = P(not defective | Plant 1) * P(Plant 1) + P(not defective | Plant 2) * P(Plant 2) + P(not defective | Plant 3) * P(Plant 3)

We know that P(defective) + P(not defective) = 1, so we can find P(not defective) using the complement rule:

P(not defective) = 1 - P(defective)

Let's calculate this:

P(not defective | Plant 1) = 1 - P(defective | Plant 1) = 1 - 0.10 = 0.90

P(not defective | Plant 2) = 1 - P(defective | Plant 2) = 1 - 0.05 = 0.95

P(not defective | Plant 3) = 1 - P(defective | Plant 3) = 1 - 0.03 = 0.97

P(Plant 1) = 0.50 (50%)

P(Plant 2) = 0.30 (30%)

P(Plant 3) = 0.20 (20%)

P(not defective) = P(not defective | Plant 1) * P(Plant 1) + P(not defective | Plant 2) * P(Plant 2) + P(not defective | Plant 3) * P(Plant 3)

               = 0.90 * 0.50 + 0.95 * 0.30 + 0.97 * 0.20

               = 0.45 + 0.285 + 0.194

               = 0.929

Therefore, the probability that a randomly selected relay is not defective is 0.929 or 92.9%.

(b) Probability that a randomly selected non-defective relay is manufactured by Plant 2:

To find this probability, we can use Bayes' theorem.

P(Plant 2 | not defective) = (P(not defective | Plant 2) * P(Plant 2)) / P(not defective)

We already have the values:

P(not defective | Plant 2) = 0.95

P(Plant 2) = 0.30

P(not defective) = 0.929

P(Plant 2 | not defective) = (0.95 * 0.30) / 0.929

                          = 0.285 / 0.929

                          ≈ 0.307

Therefore, the probability that a randomly selected non-defective relay is manufactured by Plant 2 is approximately 0.307 or 30.7%.

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The numbers of the jerseys of 5 randomly selected Carolina Panthers would fall under the category of quantitative discrete data.

Quantitative data are numerical measurements or counts that can be added, subtracted, averaged, or otherwise subjected to arithmetic operations. Discrete data, on the other hand, can only take on specific, whole number values, as opposed to continuous data which can take on any value within a range.

Qualitative data, on the other hand, are non-numerical data that cannot be measured or counted numerically. Examples include colors, names, opinions, and preferences. Since the numbers of the jerseys are specific numerical values, they are considered quantitative data.

Since they can only take on specific, whole number values (i.e. the jersey numbers are not continuous values like weights or heights), they are considered discrete data. Therefore, the correct option for the given question is option "quantitative discrete".

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Answer:

6000x10=60,000 then that by 10 = 600,000

Answer:

1 : 40 000

Step-by-step explanation:

5 : 200 000

1  : 40 000

In a poll conducted by a certain research​ center, 1046 adults were called after their telephone numbers were randomly generated by a​ computer, and were able to correctly identify the random sampling.

Each sample has an equal chance of being chosen as part of the sampling technique known as random sampling. A randomly selected sample is intended to be a fair representation of the entire population.

In statistics, a simple random sample is a subset of people chosen at random from a larger group, all of whom were chosen with the same probability. It is a procedure for randomly choosing a sample.

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The no. of books read are 21.

What is an array multiplication ?

An arrangement of rows or columns that exactly matches a multiplication equation is known as a multiplication array.

We can calculate the no. of books read by multiplication array.

In the picture, the first row shows the no. of books read by first student,

the 2nd row shows the no. of books read by 2nd student and the 3rd row shows the no. of books read by 3rd student.

If we calculate the total books then, the total books will be 21 (7 + 7 + 7).

Hence, the total no. of books are 21.

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Answer:

-33

Step-by-step explanation:

trust me, I did all the math in my notebook

The p-value is 0.01, which means that it is very rare to observe a test statistic that is equal to or more extreme than the one that was actually observed. SO the option a is correct.

In the given question, in a hypothesis test for population proportion, we calculated the p-value is 0.01 for the test statistic, we have to find which statement of the p-value is correct.

The p-value is the probability of obtaining results as extreme as, or more extreme than, the observed results of a statistical hypothesis test, assuming that the null hypothesis is true. A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so you reject the null hypothesis.

A large p-value (> 0.05) indicates weak evidence against the null hypothesis, so you fail to reject the null hypothesis.

If the null hypothesis is correct, the p-value is the likelihood that a test statistic will be equal to or more extreme than the one that was actually observed. Given that the null hypothesis is correct in this situation, the p-value of 0.01 indicates that it is extremely unusual to see a test statistic as dramatic as the one that was actually seen. This shows that the alternative hypothesis is more likely to be correct and that the null hypothesis is probably not true.

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Answer:

rfgvsdgsgvbd fs e gbaebg g

Step-by-step explanation:

Answer:

r=6

Step-by-step explanation:

The area of a circle is given by πr². Note that this uses the radius, not the diameter.

Now, one quarter of this area (ABC) is given to be 9π.

So apparently:

\(\frac14 \pi r^2 = 9\pi\)

If you solve this:

\(\frac14 r^2 = 9\) (divide both sides by π)

\(r^2 = 9\cdot4\) (multiply both sides by 4)

so

r = √36 = 6

so the radius is 6.

(a) The probability of zero arrivals during the next minute is approximately 0.2231. (b) The probability of z service times less than or equal to a given value can be calculated using the exponential distribution formula.

(a) The probability of zero arrivals during the next minute can be calculated using the Poisson distribution with a rate of 1.5 per minute. Plugging in the rate λ = 1.5 and the number of arrivals k = 0 into the Poisson probability formula, we get P(X = 0) = e^(-λ) * (λ^k) / k! = e^(-1.5) * (1.5^0) / 0! = e^(-1.5) ≈ 0.2231.

(b) In the second part of the problem, the employee serves each customer in 1 minute on average, and the service times follow an exponential distribution. The probability of z service times less than or equal to a given value can be calculated using the exponential distribution. We can use the formula P(X ≤ z) = 1 - e^(-λz), where λ is the rate parameter of the exponential distribution. In this case, since the average service time is 1 minute, λ = 1. Plugging in z into the formula, we can calculate the desired probability.

Note: Since the specific value of z is not provided in the problem, we cannot provide an exact probability without knowing the value of z.

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The Euler's formula solved for the variable V gives . V = 2 + E − F. Option 2

The subject of a formula is the variable or variables that represent the quantity being calculated or solved for.

In mathematical formulas, the subject is typically denoted by a letter or symbol, and the formula shows the relationship between the subject and other variables or constants in the equation.

From the information given, we have that;

V − E + F = 2

To make the variable, V, the subject, take the steps

collect the variable E

V + F = 2 + E

Now, collect the F variable

V = 2 + E - F

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When a fair coin is tossed five times, there is a 5/16 chance of getting two exact heads.

The area of mathematics known as probability deals with numerical representations of the likelihood that an event will occur or that a statement is true. An event's probability is a number between 0 and 1, where, broadly speaking, 0 denotes the event's impossibility and 1 denotes certainty. A probability is a numerical representation of the possibility or chance that a specific event will take place. Both proportions ranging from 0 to 1 and percentages ranging from 0% to 100% can be used to describe probabilities.

Here,

Total outcomes,

= 2*2*2*2*2

=32

Possibility of getting exactly 2 heads,

=5C2

=5!/3!2!

=5*4/2

=10

Probability of getting exactly 2 heads,

=10/32

=5/16

The probability of getting 2 heads exactly will be 5/16 when a fair coin is tossed 5 times.

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Answer:

42

Step-by-step explanation:

Answer:

An equation in the form y = mx + b is in the 'slope y-intercept' form where m is the slope and b is the y-intercept. We can rewrite our equation, y = 4, in slope y-intercept form as follows: y = 0x + 4. Here, it is clear that the slope, or m, is zero. Therefore, the slope of the horizontal line y = 4 is zero

Answer:

Closing costs are fees paid at the closing of a real estate transaction. Typically home owners will pay between 2 to 5 percent of the purchase price of their home in closing fees. So, if your home cost $150,000, you might pay between $3,000-$7,000 in closing costs.

The correct answers are: The test is statistically significant. We have observed something unusual if the null hypothesis is true. The other statements are not necessarily true on the given p-value of 1.5%.

Based on the information provided, we can determine the following:

The test is statistically significant: A p-value of 1.5% indicates that the observed result is unlikely to have occurred by chance, given the null hypothesis.

We have observed something unusual if the null hypothesis is true: A small p-value suggests that the observed data is unlikely to be a result of random chance, which implies that the data is unusual if the null hypothesis is true.

The null hypothesis is not necessarily false: The p-value alone does not provide direct information about the truth or falsehood of the null hypothesis. It only indicates the level of evidence against the null hypothesis.

The alternative hypothesis is not necessarily true: Similarly, the p-value does not provide evidence for the alternative hypothesis being true. It only indicates the strength of evidence against the null hypothesis.

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The probability of the disk drive being in a normal state is 0.5, and the probability of the disk drive being in a failed state is 0.3.

The given table represents the joint probability mass function of the random variables, pxyc (r, y, c). r, y, and c denote the temperature, shock sensor, and health status of the disk drive. The values of r, y, and c are binary.The joint probability mass function of three random variables r, y, and c can be represented as follows:pxyc (r, y, c)= P(r, y, c)Here,P(r=0, y=0, c=0)= 0.1, P(r=0, y=1, c=0)= 0.2, P(r=1, y=0, c=0)= 0.2,P(r=0, y=0, c=1)= 0, P(r=0, y=1, c=1)= 0, P(r=1, y=0, c=1)= 0,P(r=0, y=0, c=0)= 0, P(r=0, y=1, c=0)= 0, P(r=1, y=1, c=0)= 0.05,P(r=0, y=0, c=1)= 0.25, P(r=0, y=1, c=1)= 0, P(r=1, y=0, c=1)= 0.From the given table, the probability of the disk drive being in a normal state, C=0, is P(C=0)=P(r=0, y=0, c=0)+P(r=0, y=1, c=0)+P(r=1, y=0, c=0)=0.1+0.2+0.2=0.5Hence, the probability of the disk drive being in a failed state, C=1, is:P(C=1)=P(r=0, y=0, c=1)+P(r=0, y=1, c=1)+P(r=1, y=0, c=1)+P(r=1, y=1, c=0)=0.25+0+0+0.05=0.3Therefore, the probability of the disk drive being in a normal state is 0.5, and the probability of the disk drive being in a failed state is 0.3.

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Yes, that is correct. A paired t-test could also be used to test whether the mean difference is statistically significant.

The appropriate procedure for estimating the mean difference in satisfaction ratings between the combined shampoo and conditioner and separate shampoo and conditioner is a one-sample t-interval for the population mean difference.

Since the researcher is interested in comparing the means of two related samples (i.e., the same subjects are used for both the combined and separate treatments), a paired t-test could also be used to test whether the mean difference is statistically significant.

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Answer:

we can proove by ASA congruence or SAS congruence rule

Answer:

x<-5 or -3/2 < x < 2

interval notation: (-∞,-5) or (-3/2,2)

fyi ^^ the first coordinates x is supposed to be a negative infinity, in case brainly doesn't post the infinity symbol I inserted

See images for thorough explanation!

HUGE credits to Quick Math for the images!

Hope that helps! <3

Disclaimer: I am not responsible for anything you get incorrect, as I only have the context and information you provide, and I give my response based on my knowledge supported with credible information from experts and online professional articles.

Answer:

d 2.5

Step-by-step explanation:

|-2|-1/-2

2+1/2

2.5

The product(s) of an acid-base mechanism depend on the specific reactants involved. Without knowing the reactants, it is not possible to provide a definitive answer.

However, in general, acid-base reactions involve the transfer of a proton (H+) from an acid to a base, resulting in the formation of a conjugate acid and a conjugate base. The conjugate acid is formed by the acceptance of the proton, while the conjugate base is formed by the donation of the proton.

It is important to note that without specific reactants, it is impossible to determine the exact products of an acid-base mechanism. The nature of the reactants and their acid-base properties determine the specific products formed in a given reaction.

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