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Basile [38]
3 years ago
9

Need help on 14 and 16 please I really need help

Mathematics
1 answer:
lisov135 [29]3 years ago
4 0
16. the answer for the scale by dividing two number's

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3x-2y=18fory thank you if you find the answer
Shkiper50 [21]

Answer:


Step-by-step explanation:

3×8-2×3=18

5 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
Which histogram represents the data in the frequency table showing the age of people leaving the library?
Yuki888 [10]

Answer:

last graph

Step-by-step explanation:

7 0
2 years ago
Classify this relation as direct, inverse, or neither:
Charra [1.4K]

Answer:

b option im not sure but

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
Need help please on this one
OverLord2011 [107]

Answer:   3/2

==========================================================

Explanation:

Pick any two points on the red line. I'll pick (0,1) and (2,4)

Those coordinates will be plugged into the slope formula below

m = (y2 - y1)/(x2 - x1)

m = (4 - 1)/(2 - 0)

m = 3/2

This means we go up 3 and over to the right 2 when traveling along this red line.

8 0
3 years ago
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