True equilibrium constants are not expressed in terms of concentrations but rather in terms of

Mathematics

1 answer:

kompoz [17]2 years ago

6 0

Answer:

the products and the reactants.

Step-by-step explanation:

Thats how true constants at equilibrium are expressed.

:) hope that helped . have a great day !

You might be interested in

Suppose you pay $3.00 to roll a fair die with the understanding that you will get back $5.00 for rolling a 1 or a 6, nothing oth

Andru [333]

1 down vote accepted The expected value is the sum of the probablity of each outcome multiplied by the "value" of each outcome. Its sort of like a special average. In your case each outcome has probability 16

. and you get 5 dollars when you roll 3 or 6 when you roll something else.

So the expected value is

06+06+56+06+06+56=106=53

This means loosely that if you played this game a lot you should expect to win on average about 1.66 dollars, while you payed 3 to play it. Clearly this is a great idea if you want to lose money.

4 0

4 years ago

Four times the sum of twice x and 1

pochemuha

That represents: 4(2x + 1)

3 0

3 years ago

Read 2 more answers

8.52 The heights of 2-year-old children are normally distributed with a mean of 32 inches and a standard deviation of 1.5 inches

sweet [91]

Answer:

Heights of 29.5 and below could be a problem.

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.

The heights of 2-year-old children are normally distributed with a mean of 32 inches and a standard deviation of 1.5 inches.

This means that $\mu = 32, \sigma = 1.5$