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antiseptic1488 [7]
3 years ago
12

The pie chart shows how 36 pupils​

Mathematics
1 answer:
sergeinik [125]3 years ago
7 0

Answer:

26 16 19 21

Step-by-step explanation:

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Answer the question with clear explanation !!
kobusy [5.1K]

food =  \frac{1}{3}  \times 48000 = 16000 \\ rent =  \frac{1}{5}   \times 48000 = 9600 \\ clothes =  \frac{1}{4}  \times 48000 = 12000 \\ food + rent + clothes = x \\ 16000 + 9600 + 12000 = 37600 \\ ndagune \: income - what \: he \: spends = what \: he \: saves \\ 48000 - 37600 = 10400 \\ ndagune \: saves \: 10400

8 0
3 years ago
Help me with this!!!!!!!
WINSTONCH [101]
Oou I know this!!!! It 0.5 because the point F is at -1 and point G is at 2.
Soooo,
-1, 0, 1, 2
-1, -0.5, 0, 0.5, 1, 1.5, 2
Sooo the answer is 0.5 !!!
7 0
3 years ago
Three of four numbers have a sum of 22. If the average of the four numbers is 8, what is the fourth number? a) 4 b) 6 c) 8 d) 10
kogti [31]

Answer:

10

Step-by-step explanation:

First you do 8 × 4, this gives the total of the four numbers.

8 \times 4 = 32

Then, subtract the total of 3 of the numbers from the total of 4 of the numbers.

32 - 22 = 10

5 0
3 years ago
Suppose the temperature outside is dropping 3 degrees each hour. How much will the temperature change in 8 hours?
mamaluj [8]

Answer:

The temp will drop by 24 degrees in 8 hours

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
A study of 10 different weight loss programs involved 500 subjects. Each of the 10 programs had 50 subjects in it. The subjects
Yakvenalex [24]

Answer:

a) (iii) ANOVA

b) The ANOVA test is more powerful than the t test when we want to compare group of means.

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"

If we assume that we have p=10 groups and on each group from j=1,\dots,p=10 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}

Solution to the problem

Part a

(i) confidence interval

False since the confidence interval work just when we have just on parameter of interest, but for this case we have more than 1.

(ii) t-test

Can be a possibility but is not the best method since every time that we conduct a t-test we have a chance that we commit a Type I error.

(iii) ANOVA

This one is the best method when we want to compare more than 1 group of means.

(iv) Chi square

False for this case we don't want to analyze independence or goodness of fit, so this one is not the correct test.

Part b

The ANOVA test is more powerful than the t test when we want to compare  group of means.

8 0
4 years ago
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