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zepelin [54]
2 years ago
11

Divide. Write each quotient in simplest form. Please help I can't figure this out.

Mathematics
1 answer:
Vladimir79 [104]2 years ago
8 0

Answer: 1st-0.21428571428

2nd-0.6

Step-by-step explanation:

Calculator :D

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What is 60% of 300?
V125BC [204]
Do a proportion
60/100= x/300
60 x 300= 18,000
18,000 divided by 100= 180
Answer is 180

Or you could have done .60 x 300 and got 180.
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3 years ago
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What is the simplified form of this expression?
Alexxx [7]

Answer:

Option 4

Step-by-step explanation:

=> -3x^2+2x-4 + 4x^2+5x+9

Combining like terms

=> -3x^2+4x^2+2x+5x-4+9

=> x^2+7x+5

5 0
2 years ago
Ben left a 20% tip on his bill at a restaurant. The bill was $40
tigry1 [53]

Answer:

Tip: $8

Total:$48

Step-by-step explanation:

Multiply 40 by 20% to find out how much money he gave for tip.

Add the amount of tip, 8, to $40 find out the total amount of money he spent.

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3 years ago
Which of these tables is a ratio table?
OverLord2011 [107]

Answer:

its the second one from the left

1×4=4

3×4=12

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5 0
2 years ago
A null hypothesis is that the mean nose lengths of men and women are the same. The alternative hypothesis is that men have a lon
algol [13]

Answer:

b. There is not enough evidence to say that the populations of men and women have different mean nose lengths.

See explanation below.

Step-by-step explanation:

Develop the null and alternative hypotheses for this study?

We need to conduct a hypothesis in order to check if the means for the two groups are different (men have longer mean nose length than women), the system of hypothesis would be:

Null hypothesis:\mu_{men} \leq \mu_{women}

Alternative hypothesis:\mu_{men} > \mu_{women}

Assuming that we know the population deviations for each group, for this case is better apply a z test to compare means, and the statistic is given by:

z=\frac{\bar X_{men}-\bar X_{women}}{\sqrt{\frac{\sigma^2_{men}}{n_{men}}+\frac{\sigma^2_{women}}{n_{women}}}} (1)

z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.

Let's assume that the calculated statistic is z_{calc}

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

p_v =P(Z>z_{calc})=0.225

And we know that the p value is 0.225. If we select a significance level for example 0.05 or 0.1 we see that p_v >\alpha

And on this case we have enough evidence to FAIl to reject the null hypothesis that the means are equal. So then the best conclusion would be:

b. There is not enough evidence to say that the populations of men and women have different mean nose lengths.

8 0
3 years ago
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