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sleet_krkn [62]
3 years ago
7

Parvin often cleans the dishes with her mother she can clean 17 plates in 10 minutes how many plays country clean in different a

mounts of time
Mathematics
1 answer:
AnnZ [28]3 years ago
5 0
20min 34. 30min 51. 40min 68. 50min 85. 60min 102. Hope this is what you were looking for
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Here is parallelogram ABCD:
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They are the came length. And are like mirrored.

Step-by-step explanation:

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Brain and Zach went to village grille for lunch. Brian's lunch cost $4 less than 3 times Zach's. The total cost for lunch was $2
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The cost for Zach's lunch is 12, and for Brain's lunch it cost 8.

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Since, I am sorry, you can answer from here in out. ;)

4 0
3 years ago
To test the effect of classical music on the brain, a study has been done. Twenty 6th grade students are randomly divided into t
Volgvan

Answer:

Step-by-step explanation:

Hello!

A study was conducted to test the effect of classical music on the brain. For this 20 6th grade students were randomly divided into two independent groups of 10, the same math test was given to these students. The first group listened to classical music for 20 min before taking the test. The second group took the test without listening to music.

Sample 1 (With music)

X₁: Score of a 6th grade student that heard 20 min classical music before taking the math test.

91 77 58 89 83 78 74 81 91 88

n₁= 10

X[bar]₁= 81

S₁= 10.11

Sample 2 (Without music)

X₂: Score of a 6th grade student that didn't hear classical music before taking the math test.

81 65 69 69 67 61 67 87 64 81

n₂= 10

X[bar]₂= 71.10

S₂= 8.70

Asuming both variables have a normal distribution and the population variances are unknown but equal, the statistic to use for both the CI and hypothesis tests is:

t=  (X[bar]₁-X[bar]₂) - (μ₁ - μ₂)  ~t_{n_1+n_2-2}

Sa\sqrt{\frac{1}{n_1} + \frac{1}{n_2} }

a) 95% for (μ₁ - μ₂)

(X[bar]₁-X[bar]₂) ± t_{n_1+n_2-2; 1-\alpha /2}*Sa\sqrt{\frac{1}{n_1} + \frac{1}{n_2} }

Sa^2= \frac{(n_1-1)S_1^2+(n_2-1)S_2^2)}{n_1+n_2-2}

Sa^2= \frac{9*102.22+9*75.66}{18}

Sa²= 88.94

Sa= 9.4308 ≅ 9.43

t_{n_1+n_2-2;1-\alpha /2} = t_{18; 0.975} = 2.101

(81-71.10) ± 2.101*(9.43*\sqrt{\frac{1}{10} + \frac{1}{10} })

[1.04;18.76]

With a confidence level of 95% youd expect that the interval [1.04;18.76] will contain the difference between the population means of the test scores of the kids that listened to classic music and the kids that didn't listen to music before taking the math test.

b)

H₀: μ₁ ≤ μ₂

H₁: μ₁ > μ₂

α: 0.05

One-tailed test (right tail)

Critical value

t_{n_1+n_2-2; 1 - \alpha } = t_{18; 0.95} = 1.734

Rejection region t ≥ 1.734

t=  (81-71.10) - 0  = 2.34

9.43*\sqrt{\frac{1}{10} + \frac{1}{10} }

The decision is to reject the null hypothesis.

c) You are asked to conduct the same test at a different levelm this means that only the significance level changes:

H₀: μ₁ ≤ μ₂

H₁: μ₁ > μ₂

α: 0.01

One-tailed test (right tail)

Critical value

t_{n_1+n_2-2; 1 - \alpha } = t_{18; 0.99} = 2.552

Rejection region t ≥ 2.552

t=  (81-71.10) - 0  = 2.34

9.43*\sqrt{\frac{1}{10} + \frac{1}{10} }

The decision is to not reject the null hypothesis.

At a significance level of 5%, the decision is to reject the null hypothesis, which means that the population average of the test scores of 6th-grade children that listened to classical music before taking a math test is greater than the population average of the test scores of 6th graders that took the math test without listening to classical music.

But at 1% significance level, there is not enough evidence to reject the null hypothesis. At this level, the conclusion is that the average test score of 6th graders that listened to classical music before taking the math test is at most equal to the average test score of 6th graders that didn't listen to music before the test.

I hope it helps!

4 0
3 years ago
WHICH AMOUNT IS THE CLOSEST
steposvetlana [31]

Answer:

the one that has the thingy by it

8 0
3 years ago
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