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3 years ago

Guys i need helppppppp please helppp

Mathematics

2 answers:

egoroff_w [7]3 years ago

8 0

Answer:

Step-by-step explanation:

6-1+6= 11

<h2>I hope this helps.</h2>

umka2103 [35]3 years ago

7 0

Answer:

Step-by-step explanation:

It is A because all you have to do is plug it in

So, 6-1=5

and 5+6 is 11

So this is your answer Hope this helps.

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Which statements include two quantities in the real world that are additive inverses?

S_A_V [24]

<h3>Answer :</h3>

There are two statements here, showing quantities in real world which are additive inverse of each other :

2. Noa hiked 2 mi up a mountain trail and then hiked 2 mi down the trail.

here, we can depict going up as +2 miles and going down the trail as -2

4. A hot-air balloon ascends 2000 ft from the ground and then descends 2000 ft.

And here we can assume going up the ground aa + 2000 ft and going down aa - 2000 ft .

6 0

3 years ago

Read 2 more answers

Catalina and Morgan are finding the length of the third side of the right triangle. Who is correct? Explain your reasoning.

algol13

Answer:

Morgan

Step-by-step explanation:

because the pythagoras theorem is

${h1}^{2} = {b}^{2} + {h2}^{2}$

where h1=hypotenuse

h2=height

b=base

5 0

2 years ago

The time needed to complete a final examination in a particular college course is normally distributed with a mean of minutes an

Andrej [43]

Answer:

a. This probability is the p-value of Z when X = 60.

b. This probability is the p-value of Z when X = B subtracted by the p-value of Z when X = A.

c. The proportion is the p-value of Z when X is the length of the examination period. How many students is this proportion multiplied by the number of students.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

In this question:

Mean $\mu$ , standard deviation $\sigma$ .

a. What is the probability of completing the exam in one hour or less (to 4 decimals)?

This probability is the p-value of Z when X = 60.

b. What is the probability that a student will complete the exam in more than minutes A but less than B minutes (to 4 decimals)?

This probability is the p-value of Z when X = B subtracted by the p-value of Z when X = A.

c. Assume that the class has students and that the examination period is minutes in length. How many students do you expect will be unable to complete the exam in the allotted time (to nearest whole number)?

The proportion is the p-value of Z when X is the length of the examination period. How many students is this proportion multiplied by the number of students.

3 0

3 years ago

A bag holds 26 tiles, each marked with a different letter. What is the probability that one tile chosen at random is not a vowel

grandymaker [24]

Answer:

21/26 percent chance and if you count Y as a vowel 20/26

5 0

4 years ago

Read 2 more answers

An economist conducted a study of the possible association between weekly income and weekly grocery expenditures. The particular

kolezko [41]

Answer:

42.1% of variation in the response is explained by the regression line

Step-by-step explanation:

Correlation coefficient is a measure which tells us that how strongly are two variables under study are linearly related to each other i.e correlation coefficient gives the strength of linear association between the variables.

If the magnitude of correlation coefficient is closer to 1, it indicates a strong linear relationship. If the magnitude of correlation coefficient is closer to 0, it indicates a weak linear relationship.

There is another variable known as "Coefficient of Determination", which is equal to square of Correlation Coefficient. Coefficient of Determination tells us that what percentage of variation in the response of the study can be explained by the regression line.

This means, for this question we need to calculate the Coefficient of Determination.

Correlation coefficient = r = 0.649

Coefficient of Determination = R = r² = (0.649)²= 0.421 = 42.1 %

This means that 42.1% of variation in the response is explained by the regression line.

5 0

3 years ago