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Vinvika [58]
3 years ago
7

Describe the diagram

Mathematics
2 answers:
Degger [83]3 years ago
6 0

Answer:

The diagram represents 3 sets assuming they refer to 3 activities A, B and C.

The shaded point on A shows those engage in activities A only.

The shaded point on B shows those engage in activities B only.

The shaded point on C shows those engage in activities C only.

Incidentally the numbers of people engage in activities A only and B only are the same number.

The colour grade for the following is the same with that engage in only activity B;

The intersection of A and B

The intersection of B and C

The intersection of A and C

Therefore it means the numerical value is the same with that of B only;

A n B= B n C = A n C = n( B only); n on the right represent intersection and on the left number.

A n B n C = no of people engaged in all 3 activities.

A n B n C = n( A only) = n( B only) ;

From the colour grade

Note: n on the right represent intersection and on the left

Tasya [4]3 years ago
3 0

Answer:

The diagram reprents the 3 sets and the universal set . The shaded portion clearly can be seen as :

A \cap B \cap C + A - (A \cap B) - (A \cap C) + A \cap B \cap C + C - (C \cap B) - ( C \cap A) + (A \cap B \cap C)

Shaded region = 3(A \cap B \cap C) + A + C - (A \cap B) - 2(A \cap C) - (C \cap B)

Try to understand some what complex

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In a school,2/3 of the students study a language.
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Answer:

The ratio is 4/11

Step-by-step explanation:

Let

x ----> the total number of students in a school

we know that

1) 2/3 of the students study a language.

so

(2/3)x ----> number of students studying a language

and

x-(2/3)x=(1/3)x ---->number of students who do not study a language

2) Of those who study a language 2/5 were studying french

so

(2/3)x(2/5)=(4/15)x ----> number of students studying French

and

(2/3)x(3/5)=(6/15)x ----> number of students studying a language but not studying French

3) we know that

The number of students who do not study French is equal to the number of students who do not study a language plus the number of students who study a language but do not study French.

(1/3)x+(6/15)x=(11/15)x ----> number of students who not study French

(4/15)x ----> number of students who study French

4 ) Find the ratio of students who study french and who do not

(4/15)x/(11/15)x=4/11

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Randomly selected 110 student cars have ages with a mean of 8 years and a standard deviation of 3.6 years, while randomly select
monitta

Answer:

1. Yes, there is sufficient evidence to support the claim that student cars are older than faculty cars.

2. The 98% confidence interval for the difference between the two population means is [1.432 years, 3.968 years].

Step-by-step explanation:

We are given that randomly selected 110 student cars to have ages with a mean of 8 years and a standard deviation of 3.6 years, while randomly selected 75 faculty cars to have ages with a mean of 5.3 years and a standard deviation of 3.7 years.

Let \mu_1 = <em>mean age of student cars.</em>

\mu_2   = <em>mean age of faculty cars.</em>

So, Null Hypothesis, H_0 : \mu_1 \leq \mu_2      {means that the student cars are younger than or equal to faculty cars}

Alternate Hypothesis, H_A : \mu_1>\mu_2      {means that the student cars are older than faculty cars}

(1) The test statistics that will be used here is <u>Two-sample t-test statistics</u> because we don't know about the population standard deviations;

                             T.S.  =  \frac{(\bar X_1-\bar X_2)-(\mu_1-\mu_2)} {s_p \times \sqrt{\frac{1}{n_1}+\frac{1}{n_2} } }   ~   t_n_1_+_n_2_-_2

where, \bar X_1 = sample mean age of student cars = 8 years

\bar X_2 = sample mean age of faculty cars = 5.3 years

s_1 = sample standard deviation of student cars = 3.6 years

s_2 = sample standard deviation of student cars = 3.7 years

n_1 = sample of student cars = 110

n_2 = sample of faculty cars = 75

Also, s_p=\sqrt{\frac{(n_1-1)\times s_1^{2}+(n_2-1)\times s_2^{2} }{n_1+n_2-2} }  = \sqrt{\frac{(110-1)\times 3.6^{2}+(75-1)\times 3.7^{2} }{110+75-2} }  = 3.641

So, <u><em>the test statistics</em></u> =  \frac{(8-5.3)-(0)} {3.641 \times \sqrt{\frac{1}{110}+\frac{1}{75} } }  ~ t_1_8_3

                                     =  4.952    

The value of t-test statistics is 4.952.

Since the value of our test statistics is more than the critical value of t, so <u><em>we have sufficient evidence to reject our null hypothesis</em></u> as it will fall in the rejection region.

Therefore, we support the claim that student cars are older than faculty cars.

(2) The 98% confidence interval for the difference between the two population means (\mu_1-\mu_2) is given by;

98% C.I. for (\mu_1-\mu_2) = (\bar X_1-\bar X_2) \pm (t_(_\frac{\alpha}{2}_) \times s_p \times  \sqrt{\frac{1}{n_1}+\frac{1}{n_2} })

                                 = (8-5.3) \pm (2.326 \times 3.641 \times  \sqrt{\frac{1}{110}+\frac{1}{75} })

                                 = [2.7 \pm 1.268]

                                 = [1.432, 3.968]

Here, the critical value of t at a 1% level of significance is 2.326.

Hence, the 98% confidence interval for the difference between the two population means is [1.432 years, 3.968 years].

7 0
3 years ago
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