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4 years ago

PLEASE HELP WITH THESE COORDINATES ❤️ (DUE TODAY!!!)

Mathematics

1 answer:

Scrat [10]4 years ago

6 0

The coordinates for Point W should be (8,0). This is because Point W is stated to be 8 units away from the origin (0,0) on the x axis. If Point W is 8 units away from (0,0) aka the origin, and on the x axis, then Point W has to be (8,0).

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What would happen to the width of the confidence interval if Gina changed it to a 99% confidence interval?

luda_lava [24]

Answer:

The confidence interval becomes wider.

Step-by-step explanation:

The general form of a confidence interval is:

$Sample\ statistic\pm Critical\ value\times \frac{Standard\ deviation}{\sqrt{Sample\ size} }$

The critical value is based on the confidence level.

The confidence level is the probability that the true parameter value falls within a specific interval. The basic and most used confidence levels are 90%, 95% and 99%.

The confidence interval is directly proportional to the confidence interval.

Confidence Interval ∝ Confidence Level

On increasing the confidence level the confidence level widens. And on decreasing the confidence level the confidence level gets narrower.

Thus, when Gina changes the confidence interval to 99% the confidence interval becomes wider.

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3 years ago

Is -9/3 a rational number

Rudik [331]

Answer:

Step-by-step explanation:

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3 years ago

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The rectangle below has an area of 121-x^2121−x

Dennis_Churaev [7]

Answer:

(121 - x2) / (11 - x)

Step-by-step explanation:

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3 years ago

Jules César est né en -100.Il est mort en -44.A quel âge est il mort?

lorasvet [3.4K]

Jules César avait 56 ans

100 av. J.-C. - 44 av. J.-C.

#ApprendreAvecBrainly

<u>brainly.com/question/21842076</u>

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3 years ago

A sample from a population with μ = 40 and σ = 8 has a mean of M = 36. If the sample mean corresponds to a z = –1.00, then how m

juin [17]

Answer:

There are 4 scores in the sample.

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 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 $s = \frac{\sigma}{\sqrt{n}}$ .