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Snezhnost [94]
2 years ago
5

A truck rental company charges a weekend rate of $50.75 plus $8.25 for each hour a truck is rented.You have at most $125.00 to s

pend on a truck rental.Let x represent the number of hours you rent a truck.Which inequality describes the number of hours you can rent a truck?
Mathematics
1 answer:
KATRIN_1 [288]2 years ago
8 0

Answer:

Step-by-step explanation:

Let x represent the number of hours for which you can rent the truck.

truck rental company charges a weekend rate of $50.75 plus $8.25 for each hour a truck is rented. It means that the cost of renting the truck for x hours would be expressed as

50.75 + 8.25x

You have at most $125.00 to spend on a truck rental. Therefore, the inequality that describes the number of hours you can rent the truck is

50.75 + 8.25x ≤ 125

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42

Step-by-step explanation:

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Which of the following are solutions to the equation below (5x+1)^2=7?<br><br> Check all that apply.
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1 year ago
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The U.S. Bureau of Labor Statistics reports that 11.3% of U.S. workers belong to unions (BLS website, January 2014). Suppose a s
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Answer:

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Replacing we got:

z=\frac{0.13 -0.113}{\sqrt{\frac{0.113(1-0.113)}{400}}}=1.074  

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Step-by-step explanation:

Information given

n=400 represent the random sample taken

X=52 represent the  workers belonged to unions

\hat p=\frac{52}{400}=0.13 estimated proportion of workers belonged to unions

p_o=0.113 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

z would represent the statistic

p_v represent the p value

Part a

We want to test if the true proportion of interest is higher than 0.113 so then the system of hypothesis are.:  

Null hypothesis:p \leq 0.113  

Alternative hypothesis:p > 0.113  

Part b

The statistic is given by:

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

Replacing we got:

z=\frac{0.13 -0.113}{\sqrt{\frac{0.113(1-0.113)}{400}}}=1.074  

The p value for this case would be given by:

p_v =P(z>1.074)=0.141  

Part c

For this case we see that the p value is higher than the significance level of 0.05 so then we have enough evidence to FAIL to reject the null hypothesis and we can't conclude that the true proportion workers belonged to unions is significantly higher than 11.3%

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Answer:

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What is the margin of error?  

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Step-by-step explanation:


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