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aniked [119]
2 years ago
10

PLEASE HELP!!! Whoever solves this word problem for me within 15 minutes gets 90 points and gets marked brainliest!

Mathematics
2 answers:
Oksanka [162]2 years ago
7 0

Answer:

<u>$283</u>  and or  algebraic form <u>458 - x ≥ 175</u>

Step-by-step explanation:

If you subtract 458-175 you get 283 so that how much Megan can spend.

ddd [48]2 years ago
5 0
458-175
283

She can spend $283 or less
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1. Use the sequence to answer the questions. 2.5, 6, 9.5, 13, 16.5, 20,… (a) What is the common difference? (b) What is the recu
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6 0
3 years ago
At Ajax Spring Water, a half-liter bottle of soft drink is supposed to contain a mean of 519 ml. The filling process follows a n
k0ka [10]

Answer:

1) The normal distribution should be used for the sample mean because the population distribution is known to be normal (answer b).

2) C. H0: mu = 519, H_1: mu not equal to 519, reject if z> 1.96 or z< -1.96.

3) Yes. There is enough evidence to support the claim that the true mean is not 519 ml.

Step-by-step explanation:

1) When the population follows a normal distribution, it is correct to assume a normal distribution for the sample mean.

2) As it is a two-tailed decision rule, we are interested in detecting a significant difference below and above the mean. This is why we use the unequal sign in the alternative hypothesis.

The null hypothesis state that there is not significant difference from 519.

The critical value for a significance level of 5% is z=1.96.

H_0: \mu=519\\\\H_a:\mu\neq 519

3) The claim is that the true mean is not 519 ml.

Then, the null and alternative hypothesis are:

H_0: \mu=519\\\\H_a:\mu\neq 519

The significance level is 0.05.

The sample has a size n=16.

The sample mean is M=522.

The standard deviation of the population is known and has a value of σ=6.

We can calculate the standard error as:

\sigma_M=\dfrac{\sigma}{\sqrt{n}}=\dfrac{6}{\sqrt{16}}=1.5

Then, we can calculate the z-statistic as:

z=\dfrac{M-\mu}{\sigma_M}=\dfrac{522-519}{1.5}=\dfrac{3}{1.5}=2

This test is a two-tailed test, so the P-value for this test is calculated as:

\text{P-value}=2\cdot P(z>2)=0.046

As the P-value (0.046) is smaller than the significance level (0.05), the effect is significant.

The null hypothesis is rejected.

There is enough evidence to support the claim that the true mean is not 519 ml.

7 0
3 years ago
Compare 0.3 and 0.03
Sidana [21]
0.3 is greater then 0.03 because it has less 0's, if you want how they are alike just message me.
3 0
4 years ago
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