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DENIUS [597]
3 years ago
8

if a man runs for an hour and a half at 8 miles an hour due south and then he continues South on a bus traveling at 55 miles an

hour for 24 minutes how far did he travel
Mathematics
1 answer:
Anton [14]3 years ago
5 0
The man has traveled for 30 miles
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Mazyrski [523]
The answer to the question is a
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3 years ago
6 batteries cost 30 dollars
solniwko [45]

Answer: 5 dollars for every pack

Step-by-step explanation:

every 6 batteries cost 30 dollars

30÷6=5

Does this help? Let me know in the comments.

8 0
3 years ago
A gym membership is offered in January for 14.99 per month. If you pay upfront for the year, you are given a 15% discount on the
hoa [83]

Answer:

$27 approx

Step-by-step explanation:

Given data

Membership fee= 14.99 per month

for a year the fee is 14.99*12= 179.88

discount = 15%

=15/100*179.88

=0.15*179.88

=26.982

Hence for a year, you will save $27 approx

6 0
3 years ago
❌❌ NO LINKS ❌❌
belka [17]
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8 0
2 years ago
Consider a drug testing company that provides a test for marijuana usage. Among 310 tested​ subjects, results from 28 subjects w
Naily [24]

Answer:

z=\frac{0.0903 -0.1}{\sqrt{\frac{0.1(1-0.1)}{310}}}=-0.569  

The p value for this case can be calculated with this probability:

p_v =P(z  

Since the p value is higher than significance level we don't have enough evidence to conclude that the true proportion is significantly less than 0.1

Step-by-step explanation:

Information given

n=310 represent th sample selected

X=28 represent the subjects wrong

\hat p=\frac{28}{310}=0.0903 estimated proportion of subjects wrong

p_o=0.1 is the value to verify

\alpha=0.05 represent the significance level

t would represent the statistic

p_v represent the p value

System of hypothesis

We want to test the claim that less than 10 percent of the test results are wrong ,and the hypothesis are:  

Null hypothesis:p\geq 0.1  

Alternative hypothesis:p < 0.1  

The statistic is given by:

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

Replacing the info we got:

z=\frac{0.0903 -0.1}{\sqrt{\frac{0.1(1-0.1)}{310}}}=-0.569  

The p value for this case can be calculated with this probability:

p_v =P(z  

Since the p value is higher than significance level we don't have enough evidence to conclude that the true proportion is significantly less than 0.1

5 0
3 years ago
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