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3 years ago

Need the help thanks guys

Mathematics

1 answer:

Burka [1]3 years ago

4 0

Answer:

it is the option is dok

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Verify the equation below with each of the values listed for z to find a solution . 3-2z=1/10

ziro4ka [17]

$3-2z=\frac{1}{10} \\30-20z=1\\-20z=-29 \\z=\frac{-29}{-20} \Longrightarrow z=\boxed{1.45}$

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3 years ago

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The product of two consecutive negative even integers is 24. What is the smaller of the two numbers?

Karo-lina-s [1.5K]

Answer:

The smaller one is -6, the bigger one is -4.

Step-by-step explanation:

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3 years ago

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A newspaper article indicated that 43 percent of cars with black seats are white, 46 percent of cars with black seats are blue,

Andrews [41]

Answer:

C) P (X2 ≤ 8.2) = 0.96

Step-by-step explanation:

P value for the test is the probability of obtaining results that have been observed in the null hypothesis statement. A very small value of p indicates that there is unlikely chance of null hypothesis being true which means that we cannot accept null hypothesis based on the small p value.

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3 years ago

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Is 1/5 bigger or smaller than 1/6

MAXImum [283]

You can tell if you make the denominators the same easiest one is 30 for 6 and 5
1/5=6/30
1/6=5/30

now you can see which is bigger

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3 years ago

A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were de

olga2289 [7]

Answer:

Se=1.2

Step-by-step explanation:

The standard error is the standard deviation of a sample population. "It measures the accuracy with which a sample represents a population".

The central limit theorem (CLT) states "that the distribution of sample means approximates a normal distribution, as the sample size becomes larger, assuming that all samples are identical in size, and regardless of the population distribution shape"

The sample mean is defined as:

$\bar X =\frac{\sum_{i=1}^n x_i}{n}$

And the distribution for the sample mean is given by:

$\bar X \sim N(\mu,\frac{\sigma}{\sqrt{n}})$

Let X denotes the random variable that measures the particular characteristic of interest. Let, X1, X2, …, Xn be the values of the random variable for the n units of the sample.

As the sample size is large,(>30) it can be assumed that the distribution is normal. The standard error of the sample mean X bar is given by:

$Se=\frac{\sigma}{\sqrt{n}}$

If we replace the values given we have:

$Se=\frac{12}{\sqrt{100}}=1.2$

So then the distribution for the sample mean $\bar X$ is:

$\bar X \sim N(\mu=80,Se=1.2)$

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3 years ago