All categories

3 years ago

Question number 4, solve the formula for the specified variable

Mathematics

2 answers:

Wittaler [7]3 years ago

6 0

Answer:

the answer is c = 5/9(F-32)

svlad2 [7]3 years ago

4 0

I’m not sure maybe it’s A..?

You might be interested in

in a wood there are 420 silver birch trees, 160 oak tees and 300 wild cherry trees. what is the percentage of the oak trees give

elena-14-01-66 [18.8K]

Answer:

18.2%

Step-by-step explanation:

The total number of trees in the wood = 420 + 160 + 300

= 880 trees

∴ The percentage of the oak trees = $\frac{160}{880} * \frac{100}{1}$

= $\frac{2 * 100}{11}$ %

= $\frac{200}{11}$ %

= 18.181818...%

In 1 decimal place = 18.2%

Hope this helps!!

8 0

3 years ago

Could someone please help me with this question

defon

Answer:

Proportional: second and third, non-proportional: first and fourth

Step-by-step explanation:

Proportional relationships are linear functions that pass through the origin. Using this definition, we can conclude that the proportional relationships are the second and third options whereas the non-proportional relationships are the first and fourth options.

3 0

2 years ago

Read 2 more answers

4 Write an inequality for the word phrase<br> -5 is fewer than 6 less than a numberk

olchik [2.2K]

Answer:

6 - 5 < X

Is your expression

5 0

2 years ago

What is the experimental probability that a coin toss results in two heads showing?

satela [25.4K]

I can answer without knowing how many coins you are tossing

8 0

2 years ago

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