A certain insecticide kills 70% of all insects in laboratory experiments. A sample of 10 insects is exposed to the insecticide in a particular experiment. What is the probability that exactly one insect will survive? Round your answer to four decimal places.

0.1211 = 12.11% probability that exactly one insect will survive.

Step-by-step explanation:

For each insect, there are only two possible outcomes. Either they die during the experiment, or they do not. So we use the binomial probability distribution to solve this problem.

Binomial probability distribution

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

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

And p is the probability of X happening.

A certain insecticide kills 70% of all insects in laboratory experiments.

This means that 30% survive, so

A sample of 10 insects is exposed to the insecticide in a particular experiment.

This means that

What is the probability that exactly one insect will survive?

This is P(X = 1).

0.1211 = 12.11% probability that exactly one insect will survive.

question: how many people can she serve?

answer: she can serve 16.66666667 people. so she can only give 16 people a complete serving.

question: does she have enough ice cream for her guests?

answer: no. explanation: she only has enough for 16 people to have a full serving. however, she can give a 17th person a partial serving.

the answer is: d) o, f, and kr.

atomic radius of bromine (br) is 114 pm.

atomic radius of oxygen (o) is 73 pm.

atomic radius of fluorine (f) is 72 pm.

atomic radius of krypron (kr) is 112 pm.

the atomic radius of a chemical element is a measure of the size of its atom.

the atomic radius varies with increasing atomic number, but usually increases because of increasing of number of electrons.

the atomic radius decreases across the periods because an increasing number of protons, because greater attraction between the protons and electrons.