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Law Incorporation [45]
2 years ago
15

The grouped frequency table below represents the lengths of the fingers of some

Mathematics
1 answer:
Aliun [14]2 years ago
3 0

Answer:

10.3

Step-by-step explanation:

When calculating the mean from a grouped frequency table, first you must estimate what the value is through finding the number halfway between the value that x is greater than and less than:

The number halfway between 8 and 9 is 8.5

The number halfway between 9 and 10 is 9.5

The number halfway between 10 and 11 is 10.5

The number halfway between 11 and 12 is 11.5

Next, you have to multiply the estimated value by its frequency:

8.5 x 3 = 25.5

9.5 x 11 = 104.5

10.5 x 17 = 178.5

11.5 x 9 = 103.5

Then, add up the values you calculated and divide them by the total frequency (all the frequencies added up).

total estimated length: 25.5 + 104.5 + 178.5 + 103.5 = 412

total frequency: 3 + 11 + 17 + 9 = 40

412/40 = 10.3

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An experiment was conducted to compare the wearing qualities of three types of paint (A, B, and C) when subjected to the abrasiv
MaRussiya [10]

Answer:

A) H0:  mean of A= mean of B= mean of C

   H1: all means are unequal

B) 3.48194

C) 0.04515

D) H0 is accepted. There is significant difference among mean hours after which visibile abrasion is observed for each type of paint

Step-by-step explanation:

A) Here Anova test will be used as we are comparing three groups

B) mean of A= 229.6, SD of A= 158.1962, SE of A= 50.026

   mean of B= 309.9 , SD of B= 147.8742, SE of B= 46.7619

   mean of C= 427.8, SD of C= 196.8179, SE of C= 62.2393

overall mean= 322.43

degrees of freedom between groups= 3-1=2

degrees of freeddom of error= total number of observations - number of groups= 30-3= 27

total degrees of freedom= total number of samples-1= 30-1 =29

Sum of squares between groups=∑ sample size of group×(individual group mean- over all mean)²

=198772.4667

mean of sum of squares between groups= sum of squares between groups/ (number of groups -1)

  = 198772.4667/2

sum of squares of error=∑∑ (individual observation of group- group mean)²

                                            = 770670.9223

mean sum of squares of erros= sum of squares of error/(total number of samples-number of groups)

                                                       = 770670.92/27

                                                         = 28543.38

F- stat= mean sum of squares between groups/ mean sum of squares of error

     F stat= 3.48194

C) p- value= 0.04515

D) since F-stat is greater than p- value, null hypothesis is rejected

from F distribution table

F(2,27)=

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