HALP BRAINLIEST IF CORRECT

Please help me on this question

Murrr4er [49]

Answer:

D 42,240 ft

Step-by-step explanation:

First find how many miles Anil rides.

9.7-1.7 = 8 miles

There are 5280 feet in 1 mile.

5280*8= 42,240 ft

7 0

3 years ago

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Suppose monthly rental prices for a one-bedroom apartment in a large city has a distribution that is skewed to the right with a

omeli [17]

Answer:

a) Nothing, beause the distribution of the monthly rental prices are not normal.

b) 1.43% probability that the sample mean rent price will be greater than $900

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 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 random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sample means with size n of at least 30 can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$

(a) Suppose a one-bedroom rental listing in this large city is selected at random. What can be said about the probability that the listed rent price will be at least $930?

Nothing, beause the distribution of the monthly rental prices are not normal.

(b) Suppose a random sample 30 one-bedroom rental listing in this large city will be selected, the rent price will be recorded for each listing, and the sample mean rent price will be computed. What can be said about the probability that the sample mean rent price will be greater than $900?

Now we can apply the Central Limit Theorem.

$\mu = 880, \sigma = 50, n = 30, s = \frac{50}{\sqrt{30}} = 9.1287$

This probability is 1 subtracted by the pvalue of Z when X = 900.

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

By the Central Limit Theorem

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

$Z = \frac{900 - 880}{9.1287}$

$Z = 2.19$

$Z = 2.19$ has a pvalue of 0.9857

1 - 0.9857 = 0.0143

1.43% probability that the sample mean rent price will be greater than $900

8 0

3 years ago

1.64 as a mixed number in simplest form

garri49 [273]

By taking a look at 1.64, you can already tell the 1 will be the whole number in the fraction. So let's focus on .64. 0.64 is in the hundredths place value, so the denominator will be 100. The unsimplified fraction would be 1 64/100. To put this in simplest form we must divide 64 and 100. Let's start off with 2. 64/2 = 32 100/2 = 50 Let's continue until we can not divide by 2 anymore. 32/2=16 50/2 = 25 We can no longer divide by 2, howver there is not other number we can divide by both 16 and 25 evenly. The answer in simplest form is 1 16/25

4 0

2 years ago

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Your parents are ordering your school pictures. They order one 8 × 10 (8 inches by 10 inches), two 5 × 7's, and 8 wallet size (2

Dvinal [7]

The 8x10 and 2.5x3.25 are closest in ratio.

6 0

3 years ago

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If (3). write the following vectors in column vector form:

Art [367]

Answer: