Help me pls i am going to fail if i get this question wrong

Y = –6x+2

qwelly [4]

The answer is Infinate Solutions I believe we are working on these types of equations in school rn

5 0

3 years ago

Read 2 more answers

What is another name for ray ca?

zzz [600]

I would say ray ac, because it shouldn't matter which order you put the letters.

7 0

3 years ago

The amount of coffee that a filling machine puts into an 8 dash ounce 8-ounce jar is normally distributed with a mean of 8.2 oun

Inessa [10]

Answer:

73.3% probability that the sampling error made in estimating the mean amount of coffee for all 8 dash ounce 8-ounce jars by the mean of a random sample of 100 jars, will be at most 0.02 ounce

Step-by-step explanation:

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

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.

In this question, we have that:

$\mu = 8.2, \sigma = 0.18, n = 100, s = \frac{0.18}{\sqrt{100}} = 0.018$

What is the probability that the sampling error made in estimating the mean amount of coffee for all 8 dash ounce 8-ounce jars by the mean of a random sample of 100 jars, will be at most 0.02 ounce

That is, probability of the sample mean between 8.2-0.02 = 8.18 and 8.2 + 0.02 = 8.22, which is the pvalue of Z when X = 8.22 subtracted by the pvalue of Z when X = 8.18.

X = 8.22

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

By the Central Limit Theorem

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

$Z = \frac{8.22 - 8.2}{0.018}$

$Z = 1.11$

$Z = 1.11$ has a pvalue of 0.8665.

X = 8.18

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

$Z = \frac{8.18 - 8.2}{0.018}$

$Z = -1.11$

$Z = -1.11$ has a pvalue of 0.1335.

0.8665 - 0.1335 = 0.7330

73.3% probability that the sampling error made in estimating the mean amount of coffee for all 8 dash ounce 8-ounce jars by the mean of a random sample of 100 jars, will be at most 0.02 ounce

6 0

3 years ago

Which simplified ratio correctly compares 10,000 centimeters to 1000 meters

dangina [55]

Answer:

10000 cm to 1000 m ratio is 1:10

Step-by-step explanation:

To find : The simplified ratio correctly compares 10,000 centimeters to 1000 meters.

Solution :

To find the ratio first we make the unit same.

1 m= 100 cm

1000 m= 1000 × 100 cm

1000 m= 100000 cm

Now, to compare 10,000 cm to 1,00,000 cm

The ratio is

$\frac{10000}{100000}=\frac{1}{10}$

10000 cm to 100000 cm ratio is 1:10

or 10000 cm to 1000 m ratio is 1:10

3 0

3 years ago

Answer part a and b please and explain thx

Veseljchak [2.6K]

Part A: the area of a rectangle is A= lw, so

A= lw

Height= 6x+3.= 9x

Width= 8

Which makes the expression to this area 9x x 8 ( 9x times 8 )

Part B: you do the same to get the expression here, so the expression would be

6x x 12 ( 6x times 12 )

The answer to this part is yes because both end up being 72x once you get the answer of each.

5 0

2 years ago