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3 years ago

Consider the polynomial function g(x) = 5x + 25 + 923

Mathematics

1 answer:

andrezito [222]3 years ago

7 0

Answer:

We need help someone please help us please

Step-by-step explanation:

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Can anyone plz help me ASAP? This is urgent, due by tmr! Plz help! Tysm

nadezda [96]

Here's the equation,please do ask if you don't understand. Sorry for my terrible hand writing ^^; hope it helps!

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2 years ago

Write and simplify the equation you would use to solve the problem below.

charle [14.2K]

Answer:

4w + 10 = 116

Step-by-step explanation:

Call the width w.

The length is 5 more than that, so the length is w + 5

Perimeter is 2w + 2l

2w + 2(w+5) = 116

Distribute the 2 to the values in the parentheses.

2w + 2w + 10 = 116

Combine like terms

4w + 10 = 116

5 0

1 year ago

How do you work out Experimental and Theorical Probability.<br>pls help,

ArbitrLikvidat [17]

theoretical probability is based on logic as in:

there's a spinner with five equal sections. There would be a theoretical probability of 20% for each section

Experimental probability is based on results of previous experiments such as:

Damien spun that same spinner 10 times and landed on the red section 3 of ten times

5 0

2 years ago

Olive weights are classified according to a unique set of adjectives implying great size. For example, the mean weight of olives

nlexa [21]

Answer:

d. 0.0047

Step-by-step explanation:

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

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

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.

Population:

We have that $\mu = 7.7, \sigma = 0.2$

Sample of 3:

$n = 3, s = \frac{0.2}{\sqrt{3}} = 0.1155$

Which of the following represents the probability that the mean weight of a random sample of 3 olives from this population is greater than 8 grams?

This is 1 subtracted by the pvalue of Z when X = 8. So

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

By the Central Limit Theorem

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