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lukranit [14]
3 years ago
9

It takes typically $27 to fill up your tank up with gas. You have allotted no more than $108 on gasoline for your trip. A) Write

and B) solve an inequality to find out how many times you will get to fill up your tank up witj gas.
Mathematics
1 answer:
Romashka [77]3 years ago
8 0
A) 27x ≤ 108
B) x ≤ 4

Explanation
Let x be the number of times you can fill up.  It takes $27 each time, so this gives us 27x.  We are budgeting no more than $108 on gas, so this means our inequality will be "less than or equal to":
27x ≤ 108

To solve this, we divide both sides by 27:
27x/27 ≤ 108/27
x ≤ 4
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\huge\boxed{80}

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In this case, the numbers are already in ascending order.

There is an even number of numbers, so we need to find the two middle numbers.

76, 84

Now, find the average of these numbers by adding them together and dividing them by 2, which is the number of values.

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Answer:

1. B. H0: μ1−μ2=0, HA: μ1−μ2≠0

2. z=1.2114

3. P-value=0.2257

4. Do not reject H0

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We have to perfomr an hypothesis test to see if there is strong evidence that there is a significant difference between the two population means.

The null and alternative hypothesis are:

H_0: \mu_1-\mu_2=0\\\\H_a: \mu_1-\mu_2\neq0

Being μ1 the mean average gain for younger mothers and μ2 the mean average gain for mature mothers.

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As we are claiming "strong evidence", the level of significance will be 0.01.

For younger mothers, the sample size is n1=840, the sample mean is 30.7 and  the sample standard deviation is s1=14.91.

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The difference between means is

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The standard error of the difference between means is

s_M=\sqrt{\dfrac{s_1^2}{n_1}+\dfrac{s_2^2}{n_2}}=\sqrt{\dfrac{14.91^2}{840}+\dfrac{13.46^2}{132}}=\sqrt{ 0.2647+1.3725}=\sqrt{1.6372}\\\\\\s_M=1.2795

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z=\dfrac{M_d-(\mu_1-\mu_2)}{s_M}=\dfrac{1.55-0}{1.2795}=1.2114

The P-value for this z-statistic in a two tailed test is:

P-value=2P(z>1.2114)=0.2257

As the P-value is greater than the significance level, the null hypothesis failed to be rejected.

There is no enough evidence to claim that the real average weight gain differs from mature and youger mothers.

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