100,699 rounded to the nearest thousand

Anyone willing to help?? thank u to whoever does help :))

blsea [12.9K]

Answer and Step-by-step explanation:

Yes, the three side lengths could form a triangle.

To find out if the sides can form a triangle, you take the lowest side lengths and add them together. If they are greater than the longest side, then they can form a triangle. If it is equal or less than the longest side, then it CAN NOT form a triangle.

7.8 + 10.4 > 13

18.2 > 13

So, the answer is Yes.

#teamtrees #PAW (Plant And Water)

4 0

3 years ago

Read 2 more answers

Write an equation and use it to solve this question.

HACTEHA [7]

C. five sixth meters

5 0

3 years ago

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What is the product of 14/5

MAXImum [283]

Answer:

2.8

Step-by-step explanation:

Just divide and get the answer

3 0

3 years ago

Please someone help.

IgorLugansk [536]

1. 950
2. 608
3. 1,976
4. 2,698
5. 1,216

5 0

3 years ago

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A random sample of 144 recent donations at a certain blood bank reveals that 81 were type A blood. Does this suggest that the ac

Reptile [31]

Answer:

Null hypothesis: $p=0.4$

Alternative hypothesis: $p \neq 0.4$

$z=\frac{0.5625 -0.4}{\sqrt{\frac{0.4(1-0.4)}{144}}}=3.98$

$p_v =2*P(z>3.98)=0.0000689$

Since the p value is very low compared to the significance level we have enough evidence to reject the null hypothesis and we can conclude that the true percent of people with type A of blood is significantly different from 0.4 or 40%

Step-by-step explanation:

Information given

n=144 represent the random sample taken

X=81 represent the number of people with type A blood

$\hat p=\frac{81}{144}=0.5625$ estimated proportion of people with type A blood

$p_o=0.4$ is the value that we want to verify

$\alpha=0.01$ represent the significance level

z would represent the statistic

$p_v{/tex} represent the p value Hypothesis to testWe want to test if the percentage of the population having type A blood is different from 40%.: Null hypothesis:[tex]p=0.4$

Alternative hypothesis: $p \neq 0.4$

the statistic is given by:

$z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}$ (1)

Replacing the info given we got:

$z=\frac{0.5625 -0.4}{\sqrt{\frac{0.4(1-0.4)}{144}}}=3.98$

Now we can calculate the p value with this probability taking in count the alternative hypothesis:

$p_v =2*P(z>3.98)=0.0000689$

Since the p value is very low compared to the significance level we have enough evidence to reject the null hypothesis and we can conclude that the true percent of people with type A of blood is significantly different from 0.4 or 40%

3 0

3 years ago