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3 years ago

Help for brainliest answer

Mathematics

1 answer:

guajiro [1.7K]3 years ago

8 0

Step-by-step explanation:

SA=ph+2A, that is, perimeter × height+ twice area

p=21+20+29=70cm

h=22cm

70×22=1540cm

A=1/2 ×20×21=210×2=420

1540+420=1960cm2

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2. A laser printer prints 200 pages in 4

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Answer: I think the answer is 1250.

Step-by-step explanation:

I did 200 divided by 4 which is 50. I then multiplied 50 * 25 and got 1250.

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3 years ago

Lisa has a rope that measures 9 1 4 feet in length. She will cut the rope into pieces that are each 3 4 foot long. How many full

Harman [31]

Answer:

Lisa can cut the rope into 12 pieces with 1/4 foot remaining.

I found the answer on USATestprep.

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3 years ago

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24. Critical Thinking Anika wants to determine the maximum

ololo11 [35]

Answer:

t ≤ 3 ; kindly check explanation for more explanation

Step-by-step explanation:

Given that :

Number of tulip (t) =?

Cost of bulb = $1.50

Pot for each bulb purchased at =$1.25

Bag of potting soil = $10.00

Number of tulip bulb that can be purchased without spending more than $20

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t ≤ 3.64

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3 years ago

The yearly profit of a company in thousands of dollars can be modeled by P(t) = t4 − 5t2 + 4, where t is the number of years sin

disa [49]

(t^2-1)(t^2-4)
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4 years ago

To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, Jacob'

TiliK225 [7]

Answer:

a) Independent variable: The manufacturer. It's a categorical and qualitative variable.

b) Dependent variable: time needed to mix the material, and is a quantitative variable

c) On this case since we want to compare the means of different groups of manufacturers on specific 3 manufacturers (A,B and C) the best way to analyze this is with the ANOVA procedure.

d) ANOVA is the correct procedure since this procedure is used to analyze the differences among group means in a sample, and that's what we want to analyze.

The hypothesis for this case are given by

Null hypothesis: $\mu_{A}=\mu_{B}=\mu_{C}$

Alternative hypothesis: Not all the means are equal $\mu_{i}\neq \mu_{j}, i,j=A,B,C$

Step-by-step explanation:

Previous concepts

Analysis of variance (ANOVA) "is used to analyze the differences among group means in a sample".

The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"

Part A

Independent variable: The manufacturer. It's a categorical and qualitative variable.

Part B

Dependent variable: time needed to mix the material, and is a quantitative variable

Part C

On this case since we want to compare the means of different groups of manufacturers on specific 3 manufacturers (A,B and C) the best way to analyze this is with the ANOVA procedure.

Part D

ANOVA is the correct procedure since this procedure is used to analyze the differences among group means in a sample, and that's what we want to analyze.

The hypothesis for this case are given by

Null hypothesis: $\mu_{A}=\mu_{B}=\mu_{C}$

Alternative hypothesis: Not all the means are equal $\mu_{i}\neq \mu_{j}, i,j=A,B,C$

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If we assume that we have $p$ groups and on each group from $j=1,\dots,p$ we have $n_j$ individuals on each group we can define the following formulas of variation:

$SS_{total}=\sum_{j=1}^p \sum_{i=1}^{n_j} (x_{ij}-\bar x)^2$

$SS_{between}=SS_{model}=\sum_{j=1}^p n_j (\bar x_{j}-\bar x)^2$

$SS_{within}=SS_{error}=\sum_{j=1}^p \sum_{i=1}^{n_j} (x_{ij}-\bar x_j)^2$

And we have this property

$SST=SS_{between}+SS_{within}$

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3 years ago