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3 years ago

All I need is for someone to explain how you get this answer !!

Mathematics

2 answers:

ale4655 [162]3 years ago

4 0

This is one of the easiest ways to get the answer

77julia77 [94]3 years ago

4 0

Answer:

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Step-by-step explanation:

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Standar form of 1.204751131

densk [106]

1.204751131 × $10^{0}$

6 0

3 years ago

What is the approximate value of the y intercept and what does it mean in this example?

nadezda [96]

Answer:

Step-by-step explanation:

By using the utility for the line of best fit,

Equation of the line of best fit will be,

y = 1.5x + 1.32

Here, y - intercept of the line = 1.32

Here, y-intercept represents the amount of bean production when the level of water applied was zero.

7 0

3 years ago

What is the inverse operation you would use to solve n-9=-18?

Margaret [11]

Answer
N-9=-18
Move the -9 to -18 and add those cuz if there’s two negative u have to add
Add 9

8 0

3 years ago

Read 2 more answers

In a one-way ANOVA, what is the difference between the among-groups variance MSA and the within-groups variance MSW?

LuckyWell [14K]

Answer:

$MSR=MSA=\frac{SSR}{k-1}$

And $MSE=MSW=\frac{SSE}{N-k}$

The difference is that MSA takes incount the variation between the groups and the grand mean, and the MSW takes in count the variation within groups respect to the mean of each group .

Step-by-step explanation:

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"

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

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

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

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

And we have this property

$SST=SS_{between}+SS_{within}=6750+8000=14750$

The degrees of freedom for the numerator on this case is given by $df_{num}=k-1$ where k represent the number of groups.

The degrees of freedom for the denominator on this case is given by $df_{den}=df_{between}=N-k$ .

And the total degrees of freedom would be $df=N-1$

We can find the $MSR=MSA=\frac{SSR}{k-1}$

And $MSE=MSW=\frac{SSE}{N-k}$

The difference is that MSA takes incount the variation between the groups and the grand mean, and the MSW takes in count the variation within groups respect to the mean of each group .

And the we can find the F statistic $F=\frac{MSR}{MSE}=$

8 0

3 years ago

Not sure what to put in they yellow boxes?

Elza [17]

Answer:

Hamburger=31%

Pie=47%

Hot Dog=22%

36=100%

Step-by-step explanation:

What you do is you take the number of how many people have taken the survey and put it over 36.

11/36, 17/36, 8/36=

Hamburger=31%

Pie=47%

Hot Dog=22%

36=100%

8 0

3 years ago