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3 years ago

Values equal to -4/5

Mathematics

2 answers:

Aliun [14]3 years ago

6 0

Answer:

-0.8, -8/10

Step-by-step explanation:

RUDIKE [14]3 years ago

4 0

-8/10
and just keep multiplying by 2
-16/20
-32/40

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Fill in the blanks below in order to justify whether or not the mapping shown

MrRa [10]

Answer:

wheres the picture?

Step-by-step explanation:

6 0

3 years ago

I added three non-unit fractions together to make a whole. What three fractions could that be?

Anna11 [10]

Answer:

For example $\frac{2}{6}$

Step-by-step explanation:

A non-unit fraction is a fraction of which the numerator is not equal to one. Additionally, the question does not state to pick three different ones and thus you can pick any fraction that when multiplied by three (since you take three fractions together) add up to a whole number (I'm picking the whole number to be one here just to make it simple), where the numerator is not equal to one of course.

For example: $\frac{2}{6}$ , because 3· $\frac{2}{6}$ = $\frac{6}{6}$ = 1

Infinitely many solutions can be found: for example $\frac{3}{9} , \frac{4}{12} , etc$

7 0

2 years ago

Dvinal [7]

Answer:

ans : x in terms of p is 15/p and if p is -5 than x= -3

Step-by-step explanation:

4( px +1 ) = 64

( Px + 1 ) = 64/4

px = 16 - 1

x = 15/p

and , if p= -5 than,

x = 15 / (-5)

= - 3

4 0

3 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 $\mu_{i}\neq \mu_{j}, i,j=A,B,C$

In order to find the mean square between treatments (MSTR), we need to find first the sum of squares and the degrees of freedom.

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: