NEED HELP SOON!!!! for any numbers a, b, and c, a(b + c)=ab+ac

Mathematics

1 answer:

navik [9.2K]3 years ago

6 0

The property displayed here is the distributive property.

If you have a variable or unknown number inside or outside of parentheses, you can distribute it to each term and add the terms together, and it will remain true.

Example:

4(x + 5)

After distributing, it'll look like this:

4x + 20

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A recent report stated "Based on a sample of 170 truck drivers, there is evidence to indicate that, on average, independent truc

Aliun [14]

Answer:

The given statement describe inferential statistics.

Step-by-step explanation:

Descriptive Statistic:

It helps us to summarize a given data set.
It could describe the entire population or a sample from the population.
There are two types of descriptive measures: measures of central tendency and measures of variability
Central Tendency: Mean, mode, Median
Measure of Viability: Standard Deviation, Variance, Range, Interquartile range

Inferential Statistic:

It s the process of estimating population parameter with the help of a sample from the population.
A random sample from the population is used to describe the population with the help of sample statistic.

Given Scenario:

"Based on a sample of 170 truck drivers, there is evidence to indicate that, on average, independent truck drivers earn more than company-hired truck drivers."

Thus, this is an example of a inferential statistics as a sample was used to estimate the population.

Here,

Sample:

Sample of 170 truck drivers

Population:

All truck drivers.

With the help of a sample, we approximated the population, thus, this statement describe inferential statistics.

8 0

3 years ago

The probability that Barry Bonds hits a home run on any given at-bat is 0.16, and each at-bat is independent.

serious [3.7K]

Answer:

a) 0.0797 = 7.97% probability that the next home run will be on his fifth at-bat.

b) The expected number of at-bats until the next home run is 6.25.

Step-by-step explanation:

For each at bat, there are two possible outcomes. Either it is a home run, or it is not. The probability of an at bat resulting in a home run is independent of any other at-bat, which means that the binomial probability distribution is used to solve this question.

Binomial probability distribution

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

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