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valkas [14]
3 years ago
10

Can someone read and answer the question please ?

Mathematics
1 answer:
shusha [124]3 years ago
6 0

Answer: the last one

Step-by-step explanation:

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Urgent help!!!<br> I'll choose brainlest!<br> Plsss
kipiarov [429]
A) volume equals = length x width x height
2.8m is the height
1.2m is the width
4.8m is the length
so 2.8m x 1.2m x 4.8m = 16.128m³  is your answer
b)1 cubic meter is 1000
2.8m = 2800L
1.2m = 1200L
4.8m = 4800L
so your going to add those up
2800L + 1200L + 4800L = 8800L  is you answer



7 0
3 years ago
Read 2 more answers
What is the value of the expression 2m + m - 4(-2m +1-m)<br> When m<br> -8?
timama [110]

Answer:

The answer should be -124.

5 0
3 years ago
4 4/5 x 3 2/6 I don’t understand this pls help
klasskru [66]

Answer:

change to improper fraction

24/5 × 20/6=16 (you cross multiply)

4 0
2 years ago
Read 2 more answers
The math club makes 35 bars of laundry soap a week and sells these at $20 each before the soap could be sold , the pupils found
Svet_ta [14]

Answer:

Step-by-step explanation:

The math club makes 35 bars of laundry soap a week and sells these at $20 each. This means that the total number of bars of laundry soap made in a 4 week month would be

4 × 35 = 140 bars

If the pupils found that 6 bars were destroyed by mice, the total number of bars of soap left would be

140 - 6 = 134 bars

Therefore, the total sale at the end of a four week month would be

134 × 20 = $2680

7 0
3 years ago
A coffee packaging plant claims that the mean weight of coffee in its containers is at least 32 ounces. A random sample of 15 co
Luda [366]

Answer:

We conclude that the mean weight of coffee in its containers is at least 32 ounces which means that the data support the claim.

Step-by-step explanation:

We are given that a coffee packaging plant claims that the mean weight of coffee in its containers is at least 32 ounces.

A random sample of 15 containers were weighed and the mean weight was 31.8 ounces with a sample standard deviation of 0.48 ounces.

Let \mu = <u><em>mean weight of coffee in its containers.</em></u>

SO, Null Hypothesis, H_0 : \mu \geq 32 ounces     {means that the mean weight of coffee in its containers is at least 32 ounces}

Alternate Hypothesis, H_A : \mu < 32 ounces      {means that the mean weight of coffee in its containers is less than 32 ounces}

The test statistics that would be used here <u>One-sample t-test statistics</u> as we don't know about population standard deviation;

                             T.S. =  \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }  ~ t_n_-_1

where, \bar X = sample mean weight = 31.8 ounces

             s = sample standard deviation = 0.48 ounces

             n = sample of containers = 15

So, <u><em>the test statistics</em></u>  =  \frac{31.8 -32}{\frac{0.48}{\sqrt{15} } }  ~ t_1_4  

                                      =  -1.614

The value of t test statistics is -1.614.

<u>Now, at 0.01 significance level the t table gives critical value of -2.624 at 14 degree of freedom for left-tailed test.</u>

Since our test statistic is more than the critical value of t as -1.614 > -2.624, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which <u><em>we fail to reject our null hypothesis</em></u>.

Therefore, we conclude that the mean weight of coffee in its containers is at least 32 ounces which means that the data support the claim.

8 0
3 years ago
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