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adoni [48]
2 years ago
9

Rutherford used positively charged particles to investigate the structure of the atom. The results surprised him, and he develop

ed the atomic model shown below. What surprising result is explained using this model? A few positive particles bounced back because they bounced off of the net formed by the ovals. A few positive particles bounced back because they were pushed away from the positive center. Most positive particles passed through because of the empty space between the outer edge and the center. Most positive particles passed through because they were attracted by the small particles moving around the center.
Mathematics
2 answers:
serious [3.7K]2 years ago
6 0

<u>Answer: </u>The correct statement is Most positive particles passed through because of the empty space between the outer edge and the center.

<u>Explanation:</u>

Ernest Rutherford gave an experiment known as Gold Foil Experiment.

In his experiment, he took a gold foil and then bombarded it with alpha particles which carry a positive charge of +2 units. He first thought that many of the particles will bounce back but to his surprise, many of them passed through, some of them deflected their path and a few of them bounced back.

From this he concluded that in an atom, there exist a small positive charge concentrated at the the center and an atom mostly consists of empty space.

Hence, the surprising statement is most positive particles passed through because of the empty space between the outer edge and the center.

mel-nik [20]2 years ago
3 0

The answer is (B): A few positive particles bounced back because they were pushed away from the positive center.

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28.09 for both including taxes

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2 years ago
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Answer:

Step-by-step explanation:

Hello!

To test if boys are better in math classes than girls two random samples were taken:

Sample 1

X₁: score of a boy in calculus

n₁= 15

X[bar]₁= 82.3%

S₁= 5.6%

Sample 2

X₂: Score in the calculus of a girl

n₂= 12

X[bar]₂= 81.2%

S₂= 6.7%

To estimate per CI the difference between the mean percentage that boys obtained in calculus and the mean percentage that girls obtained in calculus, you need that both variables of interest come from normal populations.

To be able to use a pooled variance t-test you have to also assume that the population variances, although unknown, are equal.

Then you can calculate the interval as:

[(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= \sqrt{\frac{(n_1-1)S^2_1+(n_2-1)S^2_2}{n_1+n_2-2} } = \sqrt{\frac{14*(5.6^2)+11*(6.7^2)}{15+12-2} }= 6.108= 6.11

t_{n_1+n_2-2;1-\alpha /2}= t_{15+12-2;1-0.05}= t_{25;0.95}= 1.708

[(82.3-81.2) ± 1.708* (6.11*\sqrt{\frac{1}{15}+\frac{1}{12}  }]

[-2.94; 5.14]

Using a 90% confidence level you'd expect the interval [-2.94; 5.14] to contain the true value of the difference between the average percentage obtained in calculus by boys and the average percentage obtained in calculus by girls.

I hope this helps!

3 0
2 years ago
Johann fits a linear model to a set of data. The line of best fit has the equation y=0.331986x+5.33286. The scatter plot with th
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Answer:

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Here, we are asked to give a residual value at x = 3

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The line of best fit equation according to the question is;

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Substituting x here, we have

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y = 0.995958 + 5.33286 = 6.328818

Question asks to give answer to the nearest hundredth and that is 6.33

5 0
2 years ago
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