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Rama09 [41]
3 years ago
14

I need help please help me who ever gets it right gets brainlest

Mathematics
1 answer:
scoundrel [369]3 years ago
6 0

Answer:

9 by -2

Step-by-step explanation:

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.0000458 put this in scientific notation
amm1812


4.58 x 10^-5



hope I helped
3 0
3 years ago
This is a tricky one
IgorLugansk [536]
X = 12 , just solved it right now :)


3 0
3 years ago
it is known that the population proton of utha residnet that are members of the church of jesus christ 0l6 suppose a random samp
Lady_Fox [76]

Answer:

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes 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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

Proportion of 0.6

This means that p = 0.6

Sample of 46

This means that n = 46

Mean and standard deviation:

\mu = p = 0.6

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.6*0.4}{46}} = 0.0722

Probability of obtaining a sample proportion less than 0.5.

p-value of Z when X = 0.5. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{0.5 - 0.6}{0.0722}

Z = -1.38

Z = -1.38 has a p-value of 0.0838

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

8 0
3 years ago
Someone please help !! picture shown
Aleks [24]
Correct me if im wrong but the answer is (B) hope this helps!
5 0
3 years ago
Read 2 more answers
B Write the coordinate of T after a dilation with a scale factor of 1/4 centered at the origin. 1 10 T х -10 0 S U 10 Write your
Vanyuwa [196]

Answer:

(4, 4)

Step-by-step explanation:

Coordinates of a point (x, y) after dilation with a scale factor k,

Rule to be followed,

(x, y) → k(x, y)

        → (kx, ky)

Coordinates of point T are (8, 8).

Dilation of the point T after dilation with a scale factor of \frac{1}{4} will be,

(8, 8) → \frac{1}{2}(8, 8)

        → (4, 4)

Therefore, coordinates of the image point B' will be (4, 4).

3 0
2 years ago
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