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QveST [7]
2 years ago
13

Hudson invested $8,400 in an account paying an interest rate of 5.4%

Mathematics
1 answer:
Triss [41]2 years ago
4 0

Answer: 16870

Step-by-step explanation:

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In a genetics experiment on​ peas, one sample of offspring contained 376green peas and 150yellow peas. Based on those​ results,
ivanzaharov [21]

Answer:

1a. p0= 0.714

1b The result is not reasonably close to the value of 3/4 that was​ expected

Step-by-step explanation:

1a.Since One sample of offspring contained 376 green peas and 150 yellow peas therefore the probability of getting an offspring pea that is green will be:

Green pea/(Green pea+ Yellow pea)

p0= 376 /(376+150)

p0=376/526

Probability of getting Green pea = 0.714

1b.The result is not reasonably close to the value of 3/4 that was expected.

4 0
3 years ago
How do you do this prolem the correct way and how do you do the floors
creativ13 [48]
There is nothing there to work with
7 0
2 years ago
A consumer group has determined that the distribution of life spans for gas ranges (stoves) has a mean of 15.0 years and a stand
Art [367]

Answer:

b. Mean = 1.6 years, standard deviation - 0.92 years, shape: approximately Normal.

Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

Subtraction of normal Variables:

When we subtract normal variables, the mean is the subtraction of the means, while the standard deviation is the square root of the sum of the variances.

A consumer group has determined that the distribution of life spans for gas ranges (stoves) has a mean of 15.0 years and a standard deviation of 4.2 years. Sample of 35:

This means that:

\mu_G = 15

s_G = \frac{4.2}{\sqrt{35}} = 0.71

The distribution of life spans for electric ranges has a mean of 13.4 years and a standard deviation of 3.7 years. Sample of 40:

This means that:

\mu_E = 13.4

s_E = \frac{3.7}{\sqrt{40}} = 0.585

Which of the following best describes the sampling distribution of the difference in mean life span of gas ranges and electric ranges?

Shape is approximately normal.

Mean:

\mu = \mu_G - \mu_E = 15 - 13.4 = 1.6

Standard deviation:

s = \sqrt{s_G^2+s_E^2} = \sqrt{0.71^2+0.585^2} = 0.92

So the correct answer is given by option b.

8 0
3 years ago
NEED HELP PLZ PLEASE ANSWER THE QUESTION THX :) i will mark you brainlist​
iVinArrow [24]

Answer:

It equals a negative number because there is a negative and a postive which will result in a negative answer.

6 0
3 years ago
Please help its due tommorrow morning!
LenaWriter [7]

Answer: $324

Step-by-step explanation:

i=prt

i=(6000)(.054)(1)

i=324

4 0
3 years ago
Read 2 more answers
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