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3 years ago

Can someone help me plz

Mathematics

1 answer:

Solnce55 [7]3 years ago

4 0

Answer:

Step-by-step explanation:

there is only 6 numbers on a number cube so it rules out the number 2 so therefor you only have 5 to pick from

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PLS help me its du, will make the brainiest!!

AnnyKZ [126]

Answer:

5241723 23245

Step-by-step explanation:

I'm pre sure u divide the total number to make a 3 digit im not too.

but good luck :)

7 0

3 years ago

Find the slope of the line

olga55 [171]

Answer:

slope or m = -1

Step-by-step explanation:

The slope formula is:

y2-y1 -3 - 1 -4 -4

-------- = -------------- = --------- = ----- = -1

x2-x1 1 - (-3) 1+3 4

So, the slope is -1 XD YAY!!

6 0

3 years ago

Read 2 more answers

Describe a real world situation that can be modeled by 5t

jeka57 [31]

I used to shovel snow for $5 an hour.

If ' t ' was the number of hours I spent shoveling somebody's driveway,
then ' 5t ' was the number of dollars he owed me for the job.

' t ' didn't even have to be a whole number. It worked fine with any number.

3 0

3 years ago

In college basketball, a shot made from beyond a designated arc radiating about 20 ft from the basket is worth three points ins

denis-greek [22]

Answer:

a) By the Central Limit Theorem, the distribution would be approximately normal, with mean $\mu = 0.45$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.45*0.55}{100}} = 0.0497$

b) 4.02 standard deviations below the mean.

c) Making 25 or less shots has a pvalue of -4.02. Z-scores lower than -2 are considered surprising, so yes, it would be surprising for him to make only 25 of these shots.

Step-by-step explanation:

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

Normal probability distribution

Problems of normally distributed samples are 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 $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For proportions, we have that the mean is $\mu = p$ and the standard deviation is $s = \sqrt{\frac{p(1-p)}{n}}$

In this problem, we have that:

$p = 0.45, n = 100$

a)By the Central Limit Theorem, the distribution would be approximately normal, with mean $\mu = 0.45$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.45*0.55}{100}} = 0.0497$

b)This is Z when X = 0.25.

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

By the Central Limit Theorem

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