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Paladinen [302]
3 years ago
7

Help me please answer thanks

Mathematics
1 answer:
nasty-shy [4]3 years ago
6 0

Answer:

8, 2

Step-by-step explanation:

8 * 2 = 16

8 + 2 = 10

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19/3 - 31/7.....LCD = 21
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40/21 =
1 19/21 lbs.....closest answer is B...it is about 2 lbs


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Mike deposited $850 into the bank in July. From July to December, the amount of money he deposited into the bank increases by 25
lana [24]
It should be $10,062.50 because if you multiply 850 and 25% (turn to decimal .25) then you add 850 again and you get 10,062.50.
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3 years ago
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Need help please will give brainliest answer!
Nadusha1986 [10]

Answer:

lower limit is n=1

upper limit is n=18

n=1 to 18∑(7n-4)

Number of beads = 1125

Step-by-step explanation:

Given series is 3+10+17+24.....

we find the formula to find nth term(explicit formula)

first term (a1) = 3

common difference (d)= 7

a_n = a_1+(n-1)d

a_n = 3+(n-1)7

a_n = 3+7n-7

a_n =7n-4

total of 18 rows

So we find sum for n =1  to 18

lower limit is n=1

upper limit is n=18

n=1 to 18∑(7n-4)

(b) to find total number of beads we apply sum formula

s_n = \frac{n}{2}(2a+(n-1)d)

n=18, a=3, d= 7

s = \frac{18}{2}(2(3)+(18-1)7)

S= 9(125)=1125

Number of beads = 1125

8 0
3 years ago
Jayce travels 30 miles per hour in her car.how many miles does she travel in 4 hours
LekaFEV [45]

Answer:

120 miles

Step-by-step explanation:

30 miles per hour * 4 hours

120 miles

5 0
3 years ago
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According to a Pew Research Center, in May 2011, 35% of all American adults had a smart phone (one which the user can use to rea
Veronika [31]

Answer:

p_v =P(z>1.82)=0.034  

Assuming a standard significance level of \alpha=0.05 the best conclusion for this case would be:

4. There is not enough evidence to show that more than 35% of community college students own a smart phone (P-value = 0.034).

Because p_v

If we select a significance level lower than 0.034 then the conclusion would change.

Step-by-step explanation:

Data given

n=300 represent the random sample taken

X=120 represent the people who have a smart phone

\hat p=\frac{120}{300}=0.4 estimated proportion of people who have a smart phone

p_o=0.35 is the value that we want to test

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

System of hypothesis

We need to conduct a hypothesis in order to test the claim that the true proportion of people who have a smart phone is higher than 0.35, the system of hypothesis are.:  

Null hypothesis:p\leq 0.35  

Alternative hypothesis:p > 0.35  

The statistic is given by:

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

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.4 -0.35}{\sqrt{\frac{0.35(1-0.35)}{300}}}=1.82  

Statistical decision  

Since is a right tailed test the p value would be:  

p_v =P(z>1.82)=0.034  

Assuming a standard significance level of \alpha=0.05 the best conclusion for this case would be:

4. There is not enough evidence to show that more than 35% of community college students own a smart phone (P-value = 0.034).

Because p_v

If we select a significance level lower than 0.034 then the conclusion would change.

4 0
2 years ago
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