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timama [110]
3 years ago
11

A survey of 100 students was taken concerning their knowledge of foreign languages. The results were as follows: 30 know French1

9 know German16 know Russian11 know both French and Russian12 know both French and German6 know both German and Russian4 know all three languages How many students do NOT know any of the three languages?
Mathematics
2 answers:
rusak2 [61]3 years ago
6 0

Answer: There are 48 such students who did not know any of the three languages.

Step-by-step explanation:

Since we have given that

Number of students were taken for survey n(U)= 100

Number of students who know French n(F) = 30

Number of students who know German n(G) = 19

Number of students who know Russian n(R) = 16

Number of students who know both French and Russian n(F∩ R) = 11

Number of students who know both German and French n(G ∩ F) = 12

Number of students who know both Russian and German n(R ∩ G) = 6

Number of students who know all three languages = 4

So, n(F∪G∪R)=n(F)+n(G)+n(R)-n(F∩G)-n(F∩R)-n(G∩R)+n(F∩G∩R)

n(F∪G∪R)=30+19+16-12-11-6+4

n(F∪G∪R)=52

So, the number of students who do not know any of the three languages is

n(F\cap G\cap R)'=n(U)-n(F\cap G\cap R)\\\\n(F\cap G\cap R)'=100-52\\\\n(F\cap G\cap R)'=48

Hence, there are 48 such students who did not know any of the three languages.

Sati [7]3 years ago
5 0
35 students would not know any of the three languages, because if 30 know French, 19 knew German, and 16 knew Russian, that must mean that 65 students know at least one of the three languages. So you subtract 65 from 100 and end up with 35
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3a+6

Step-by-step explanation:

3a+6 = 24a+48 divided by 8 (there are 8 sides in an octagon)

covert 24a +48 inches into feet

2a+4 feet = 18 feet

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divided 2 from both sides

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3 years ago
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Explanation:

If the mean productivity of two workers is the same.

For a random selection of 30 hours in the past month, the manager compares the number of items produced by each worker in that hour.

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Refer to the following scenario:You want to see if there is a difference between the exercise habits of Science majors and Math
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Answer:

1. H0: P1 = P2

2. Ha: P1 ≠ P2

3. pooled proportion p = 0.542

4. P-value = 0.0171

5. The null hypothesis failed to be rejected.

At a signficance level of 0.01, there is not enough evidence to support the claim that there is significant difference between the exercise habits of Science majors and Math majors .

6. The 99% confidence interval for the difference between proportions is (-0.012, 0.335).

Step-by-step explanation:

We should perform a hypothesis test on the difference of proportions.

As we want to test if there is significant difference, the hypothesis are:

Null hypothesis: there is no significant difference between the proportions (p1-p2 = 0).

Alternative hypothesis: there is significant difference between the proportions (p1-p2 ≠ 0).

The sample 1 (science), of size n1=135 has a proportion of p1=0.607.

p_1=X_1/n_1=82/135=0.607

The sample 2 (math), of size n2=92 has a proportion of p2=0.446.

p_2=X_2/n_2=41/92=0.446

The difference between proportions is (p1-p2)=0.162.

p_d=p_1-p_2=0.607-0.446=0.162

The pooled proportion, needed to calculate the standard error, is:

p=\dfrac{X_1+X_2}{n_1+n_2}=\dfrac{82+41}{135+92}=\dfrac{123}{227}=0.542

The estimated standard error of the difference between means is computed using the formula:

s_{p1-p2}=\sqrt{\dfrac{p(1-p)}{n_1}+\dfrac{p(1-p)}{n_2}}=\sqrt{\dfrac{0.542*0.458}{135}+\dfrac{0.542*0.458}{92}}\\\\\\s_{p1-p2}=\sqrt{0.001839+0.002698}=\sqrt{0.004537}=0.067

Then, we can calculate the z-statistic as:

z=\dfrac{p_d-(\pi_1-\pi_2)}{s_{p1-p2}}=\dfrac{0.162-0}{0.067}=\dfrac{0.162}{0.067}=2.4014

This test is a two-tailed test, so the P-value for this test is calculated as (using a z-table):

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As the P-value (0.0171) is bigger than the significance level (0.01), the effect is not significant.

The null hypothesis failed to be rejected.

At a signficance level of 0.01, there is not enough evidence to support the claim that there is significant difference between the exercise habits of Science majors and Math majors .

We want to calculate the bounds of a 99% confidence interval of the difference between proportions.

For a 99% CI, the critical value for z is z=2.576.

The margin of error is:

MOE=z \cdot s_{p1-p2}=2.576\cdot 0.067=0.1735

Then, the lower and upper bounds of the confidence interval are:

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The 99% confidence interval for the difference between proportions is (-0.012, 0.335).

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3 years ago
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ZanzabumX [31]
EG and FH are diagonals of the rhombus and the bisect each other at the centre to for a righ angle triangle with the side of the rhombus as the hypothenus.
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5 0
3 years ago
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