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3 years ago

Whats the bisector of the photosentisis of the yellow sun???!??!??!

Mathematics

1 answer:

LenKa [72]3 years ago

7 0

Answer:

you will use dy DX for the equation of photosynthesis. make carbon subject of formular, and factorize the final answer

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Pls help me answer 2.2.3 and 2.2.4 (2.2.4 needs to be converted) ill give brainstorm

Anarel [89]

$\bold{\huge{\underline{ Solution }}}$

<h3>Analysis of graph :-</h3>

We have given one graph which is plot between distance and time. where time is in minutes and distance is in seconds.

According to the graph

For the first 5 minute ( O to A) , The distance is continously increasing 2m / per minute .
For the 5 minute that is from 5 minute to 13 minute ( A to B) both marellize and her dog wally moving with the constant speed .
For next 3 minutes that is from 10 minutes to 13 minutes ( B to C) , The distance is continously decreasing with time .
For next 3 minutes that is from 13 to 16 minutes ( C to D) , Again they moved with constant speed .
For next 6 minute that is from 16 to 21 minutes ( D to E) . Again, There distance is increasing with time .
Again For next 4 minutes that is 21 to 25 minutes , they are moving with constant velocity .

<h3>Let's Begin :-</h3>

1) Between O and A

The marellize and wally when moving between O to A , The distance is constantly increasing with time.
The graph is Straight line

2) Between A and B

The marellize and wally when moving between A to B, The distance remains the same with time that is they moving with constant speed.
The graph is constant or steady

3) Between B to C

The marellize and wally when moving between B to C, The distance is constantly decreasing with time .
The graph is straight line but it follows decreasing function .

4) For covering the First 6 km ,

According to the graph,

For covering first 6 km, They took 3 minutes.

5) No, Marellize and wally walk does not from where they have started.

According to the graph

It is end at 5 m instead of 0m .

3 0

3 years ago

a recipe calls for 6 cups of water and 4 cups of flour. if the recipe is decreased to use 2 cups of water, how much flour should

Len [333]

$\frac{6}{4}=\frac{2}{f}\\\frac{3}{2}=\frac{2*\frac{3}{2}}{f*\frac{3}{2}}\\\frac{3}{2}=\frac{3}{\frac{3}{2}f}\\2=\frac{3}{2}f\\2*\frac{2}{3}=\frac{3}{2}f*\frac{2}{3}\\\frac{4}{3}=f$

1 1/3 cups of flour

3 0

3 years ago

Cory made 4,500 g of candy. He saved 1 kg to eat later. He divided the rest of the candy over 7 bowls to

Olenka [21]

Answer: 500 g of candy in each bowl

Step-by-step explanation:

1,000 g = 1Kg

4,500 g - 1,000 g = 3,500 g of candy were divided over 7 bowls:

Each bowl contains = 3,500 g➗7 bowls = 500 g candy/bowl

Answer: 500 g of candy in each bowl

<h2>Spymore</h2>

4 0

3 years ago

According to a Yale program on climate change communication survey, 71% of Americans think global warming is happening.† (a) For

SpyIntel [72]

Answer:

a) 0.2741 = 27.41% probability that at least 13 believe global warming is occurring

b) 0.7611 = 76.11% probability that at least 110 believe global warming is occurring

Step-by-step explanation:

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

In which $C_{n,x}$ is the number of different combinations of x objects from a set of n elements, given by the following formula.

$C_{n,x} = \frac{n!}{x!(n-x)!}$

And p is the probability of X happening.

The expected value of the binomial distribution is:

$E(X) = np$

The standard deviation of the binomial distribution is:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .