All categories

3 years ago

What is binomial expansion

Mathematics

2 answers:

seraphim [82]3 years ago

5 0

It means "comprising two terms".

ycow [4]3 years ago

4 0

In elementary algebra, the binomial theorem describes the algebraic expansion of powers of a binomial.

You might be interested in

Combine the radicals

storchak [24]

The radicals never change in this situation. You just subtract 3 from 9 so you’ll get:
6(sqrt x)

5 0

4 years ago

over 6 days, Dan jogged 7.5 miles, 6 miles, 3 miles, 3 miles, 5.5 miles and 5 miles what is the mean distance that Dan jogged ea

Inga [223]

To start add together all of the miles over 6 days. Added together it equals 30 miles.

Then take 30 miles divided by how many days.
30 divided by 6.
30 divided by 6=5
5 miles is the mean distance.

7 0

3 years ago

A college calculates that 12 out of 16 students get a job within the first month of graduation. If 120 students are graduating w

SashulF [63]

Answer:

90 students

Step-by-step explanation:

If 12/16 of the students will get a job within the first month, its the same as saying 3/4 will.

So, we can take 3/4 of 120, which is 90 students.

6 0

3 years ago

A soccer league has 30 seventh-graders and 15 eighth-graders. Write the ratio of seventh-graders to eight graders.

9966 [12]

Answer:

2:1

Step-by-step explanation:

30/15=2/1

2:1 is the answer you are looking for

Hope it helped

Please mark me as Brainliest

7 0

3 years ago

Read 2 more answers

A researcher wanted to test the claim that, "Seat belts are effective in reducing fatalities." A simple random sample of front-s

GREYUIT [131]

Answer:

$z = \frac{0.00206 -0.0110}{\sqrt{\frac{0.00206*(1-0.00206)}{7765} +\frac{0.0110*(1-0.0110)}{2823}}}= -4.405$

Now we can find the p value since we are using a left tailed test the p value would be:

$p_v = P(z$

Since the p value is very low compared to the significance level of 0.05 we have enough evidence to reject the null hypothesis and then the best conclusion would be:

B) Since p <a, we conclude that this data shows that seat belts are effective in reducing fatalities.

Step-by-step explanation:

We have the following info given from the problem

$X_1 =31$ number of people killed with occupants not wering seat belts

$n_1 = 2823$ number of people not wearing seat belts

$\hat p_1 =\frac{31}{2823}=0.0110$ represent the estimated proportion of people killed not wearing seatbelts

$X_2 =16$ number of people killed with occupants using wering seat belts

$n_2 = 7765$ number of people using wearing seat belts

$\hat p_2 =\frac{16}{7765}=0.00206$ represent the estimated proportion of people killed wearing seatbelts

We want to check if seat belts are effective in reducing fatalities, so we want to test the following system of hypothesis:

Null hypothesis: $p_2 \geq p_1$

Alternative hypothesis: $p_2$

The statistic for this case is given by:

$z = \frac{\hat p_2 -\hat p_1}{\sqrt{\frac{\hat p_1 (1-\hat p_1)}{n_1} +\hat p_2 (1-\hat p_2)}{n_2}}}$

And replacing we got:

$z = \frac{0.00206 -0.0110}{\sqrt{\frac{0.00206*(1-0.00206)}{7765} +\frac{0.0110*(1-0.0110)}{2823}}}= -4.405$

Now we can find the p value since we are using a left tailed test the p value would be:

$p_v = P(z$

Since the p value is very low compared to the significance level of 0.05 we have enough evidence to reject the null hypothesis and then the best conclusion would be:

B) Since p <a, we conclude that this data shows that seat belts are effective in reducing fatalities.

8 0

4 years ago