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satela [25.4K]
3 years ago
8

14. How much greater is the sum of the first 50 counting numbers greater than the sum of the first 100 counting numbers? a. 110

b. 3,775 c. 3,155 d. 1200
Mathematics
1 answer:
77julia77 [94]3 years ago
7 0

Answer:

b. 3.775

Step-by-step explanation:

The question is worded incorrectly since the sum of the first 100 counting numbers is actually greater than the sum of the first 50 counting numbers.

The sum of any set of consecutive numbers of size 'n' is given by:

S = \frac{(A_1+A_n)*n}{2}

Where A1 is the first number on the set and An is the last number.

The sum of the first 100 counting numbers (1 through 100) is:

S_{100}= \frac{(1+100)*100}{2}=5,050

The sum of the first 50 counting numbers (1 through 50) is:

S_{50}= \frac{(1+50)*50}{2}=1,275

The difference between those two values is:

S_{100} -S_{50} =5,050-1,275=3,775

Therefore, the sum of the first 100 counting numbers is 3,775 greater than the sum of the first 50 counting numbers.

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F(x)= x+4; D: {-5, -3, 0, 4}
Vika [28.1K]

Step-by-step explanation:

-5+4=-1

-3+4=1

0+4=4

4+4=8

6 0
3 years ago
How many terms are in (3x^2-3)(3x^2+3)
Marta_Voda [28]

The number of terms in the expression given is; 2.

<h3>How many term are in the expression given?</h3>

It follows from the task content that the expression given is; (3x^2-3)(3x^2+3).

It therefore follows the converse of law regarding difference of two squares that the expression given can be rewritten as;

= 9x⁴ -9

Read more on difference of two squares;

brainly.com/question/3189867

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7 0
2 years ago
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
Need help please and thank you
mojhsa [17]

Answer:

(c) option

Step-by-step explanation:

A = 4pier²

A/4pie = r²

Under root (A/4pie) = r

(c) option

<em>Hope</em><em> </em><em>it</em><em> </em><em>helps</em><em>.</em>

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2 years ago
Services provided by public service companies are also known as
sammy [17]
The answer is “housing expenses”
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