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Alex777 [14]
3 years ago
10

What is the answer of this question?

Mathematics
1 answer:
lianna [129]3 years ago
8 0

Answer:

8

Step-by-step explanation:

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6(x-4y)<br> Expanding brackets please
kow [346]

Answer:

6x - 24y

Simplify the expression.

3 0
3 years ago
Read 2 more answers
In the morning, the temperature was – 10°C. By the afternoon, it had risen to – 2°C. What was the change in temperature from the
Sever21 [200]

Answer:

8 °C

Step-by-step explanation:

Step 1: Given data

Initial temperature value (T1): -10 °C

Final temperature value (T2): -2 °C

Step 2: Calculate the change in temperature from the morning to the afternoon

To calculate the change in the temperature, we have to perform the subtraction T2 - T1.

ΔT = T2 - T1 = (-2 °C) - (-10 °C) = -2 °C + 10 °C = 8 °C

The temperature change is positive, meaning that the temperature increased.

8 0
3 years ago
5.73 Evaluate the expression for 2 22 2. I will give brainliest ​
Sonbull [250]

Answer:

  • 10

Step-by-step explanation:

  • 5·x³/x² = 5·x = 5·2 = 10
5 0
3 years ago
A chemist wishes to test the effect of four chemical agents on the strength of a particular type of cloth. Because there might b
vovikov84 [41]

Answer:

p > α

0.7038 > 0.05

Also since F < F critical

0.475 < 3.238

We failed to reject H₀

We do not have significant evidence at the given significance level to show that there is a difference among the four chemical agents on the strength of a particular type of  cloth.

Step-by-step explanation:

We are given that a chemist wishes to test the effect of four chemical agents on the strength of a particular type of  cloth.

Since we are given data for four independent chemical agents to determine the effect on the strength of a particular type of cloth, therefore, a one-way analysis of variance may be used for the given problem.

ANOVA:

The one-way analysis of variance (ANOVA) may be used to find out whether there is any significant difference between the means of two or more independent categories of data.

Set up hypotheses:

Null hypotheses = H₀: μ₁ = μ₂ = μ₃ = μ₄

Alternate hypotheses = H₁: μ₁ ≠ μ₂ ≠ μ₃ ≠ μ₄

Set up decision rule:

We Reject H₀ if p ≤ α

OR

We Reject H₀ if F > F critical

ANOVA in Excel:

Step 1:

In the data tab, select data analysis

Step 2:

Select "Anova single factor" from the analysis tools

Step 3:

Select the destination of input data in the "input range"

Step 4:

Select "rows" for the option "Group By"

Step 5:

Tick the option "labels in first row"

Step 6:

Set alpha = 0.05

Step 7:

Select the destination of output data in the "output options"

Conclusion:

Please refer to the attached results.

The p-value is found to be

p = 0.7038

The F value is found to be

F = 0.475

The F critical value is found to be

F critical = 3.238

Since p > α

0.7038 > 0.05

We failed to reject H₀

Also since F < F critical

0.475 < 3.238

We failed to reject H₀

We do not have significant evidence at the given significance level to show that there is a difference among the four chemical agents on the strength of a particular type of cloth.

6 0
3 years ago
A truck can be rented from Company A for ​$110 a day plus ​$0.30 per mile. Company B charges ​$30 a day plus ​$0.40 per mile to
Bezzdna [24]
We know that Company B will be less expensive at first, but Company A will become a better option as the miles rack up. Eventually, Company A will be less expensive. There will be a point where the price will be the same for each company.

150 + .20x = Company A
70 + .40x = Company B

If we set these two equations equal to each other, we find out when the price will be the same.
5 0
3 years ago
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