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Trava [24]
2 years ago
14

Write any four rational numbers between ─5 and ─4.

Mathematics
2 answers:
Lera25 [3.4K]2 years ago
4 0

The rational numbers between -5 and -4 are as follows:

  • -4.2
  • - 4.8
  • - 4.4
  • - 4.6

<h3>What are rational numbers?</h3>

Rational numbers are numbers that can be expressed as the ratio of two integers.  These numbers are in the form of p/q, where p and q can be any integer and q ≠ 0.

Therefore, the rational numbers between -5 and -4 are as follows:

  • -4.2
  • - 4.8
  • - 4.4
  • - 4.6

Note the numbers are between -5 and -4.

learn more on rational numbers here: brainly.com/question/17450097

#SPJ2

Rasek [7]2 years ago
3 0

Answer:

Step-by-step explanation:

Write any four rational numbers between ─5 and ─4.

-4.1,

-4.2,

-4.3,

-4.4,

-4.5

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Rhonda spends $129.95 on camping equipment before tax. The sales-tax rate in her city is 8.25%.What is the total cost of Rhonda’
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Rhonda spends $129.95 on camping equipment before tax. The sales-tax rate in her city is 8.25%.What is the total cost of Rhonda’s purchase?
5 0
1 year ago
To get the 10% discount, a shopper must spend at least $200.Use d to represent the spending (in dollars) of a shopper who gets t
maria [59]

The inequality will be:

x\geq 200

Step-by-step explanation:

We need to write the inequality for the condition:

To get the 10% discount, a shopper must spend at least $200.Use d to represent the spending (in dollars) of a shopper who gets the discount.

Solution:

A person will get 10% discount if he spends $200 or more

Let x represents the amount that the shoppers will spend on shopping.

at least spend means the shoppers should spend $200 or more on the shopping to get the discount.

The inequality will be:

x\geq 200

Keywords: Solving inequalities

Learn more about Solving inequalities at:

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#learnwithBrainly

8 0
4 years ago
What are these numbers from greatest to least: 7.4, 6.55, -2.47, -18.33, -6.111, 7.66, 2.99, -18.9
Gekata [30.6K]
-18.9, -18.33, -6.111, -2.47, 2.99, 6.55, 7.4, 7.66
6 0
3 years ago
A major metropolitan newspaper selected a simple random sample of 1,600 readers from their list of 100,000 subscribers.
Tpy6a [65]

Answer: (0.36845,\ 0.43155)

Step-by-step explanation:

Let p be the population proportion of  readers who would like more coverage of local news.

As per given , we have

sample size :=1600

sample proportion : \hat{p}=40\%=0.40

The confidence interval for population proportion is given by :-

\hat{p}\pm z^* \sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}

From z-table ,

For 99% confidence interval the z-value is 2.576.

Substitute all the values in the above formula , we get

The 99% confidence interval for the proportion of readers who would like more coverage of local news as

0.40\pm(2.576) \sqrt{\dfrac{0.40(1-0.40)}{1600}}

0.40\pm(2.576) \sqrt{\dfrac{0.24}{1600}}

0.40\pm(2.576) \sqrt{0.00015}

0.40\pm(2.576) (0.0122474487139)

0.40\pm0.03155

(0.40-0.03155,\ 0.40+0.03155)=(0.36845,\ 0.43155)

Hence, the 99% confidence interval for the proportion of readers who would like more coverage of local news is (0.36845,\ 0.43155) .

5 0
4 years ago
Find the critical value of x2 based on the given information H1 &gt;3.5 n=14 a=0.05
egoroff_w [7]

Answer:

The degrees of freedom are given by:

df = n-1=14-1=13

The significance level is \alpha=0.05 and then the critical value can be founded in th chi square table we need a quantile that accumulates 0.05 of the area in the right tail of the distribution and for this case is:

\chi^2_{\alpha}= 22.362

And if the chi square statistic is higher than the critical value we can reject the null hypothesis in favor of the alternative.

Step-by-step explanation:

We have the followign system of hypothesis:

Null hypothesis: \sigma^2 \leq 3.5

Alternative hypothesis: \sigma^2 >3.5

The degrees of freedom are given by:

df = n-1=14-1=13

The significance level is \alpha=0.05 and then the critical value can be founded in th chi square table we need a quantile that accumulates 0.05 of the area in the right tail of the distribution and for this case is:

\chi^2_{\alpha}= 22.362

And if the chi square statistic is higher than the critical value we can reject the null hypothesis in favor of the alternative.

4 0
3 years ago
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