6 TEL X - 4 2 44 is it a function or not a function

8. Sven sells hamburgers at a ballpark. He earns $14.50/h, plus $0.50

Komok [63]

Answer:

Part A: $55.50

Part B: 52 hamburgers(sorry if I am wrong for part b but I think it is right)

Step-by-step explanation:

Part A: $14.50 x 3= $43.50 + 24 x $0.50= $12=

($ earned per hrs x hrs worked)+ ($ per hamburger sold x times amount)

Hence $43.50 + $12= $55.50.

Part B: $14.50 x 6.5 = $94.25 $120 - $94.25= $25.75

($ earned per hrs x hrs worked x x hrs worked) ($ earned - $ earn from shif

$25.75/0.50=51.5 (51.5 rounded to nearest burgers is 52 burgers)

Hence answer is 52 burgers.

Please rate Good and mark Brainliest

Thank You

5 0

3 years ago

Brooks built two similar wooden chests in the shape of rectangular prisms. She used 16 pints of paint to cover the outside of th

tester [92]

Choices: A. 16/9 B. 4/3 C. 32/9 D. 64/27

Given:
number of pints used for larger chest = 16 pints
number of pints used for smaller chest = 9 pints

Ratio of the volume of the larger chest compared to the smaller chest.

We will use the number of pints used in lieu of the volume of each chest.

16 / 9 is the ratio. Choice A.

3 0

3 years ago

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

nordsb [41]

Answer:

73.30% probability that the sampling error made in estimating the mean amount of coffee for all 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 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.

In this problem, 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-ounce jars by the mean of a random sample of 100 jars will be at most 0.02 ounce?

This is the pvalue of Z when X = 8.2 + 0.02 = 8.22 subtracted by the pvalue of Z when X = 8.2 - 0.02 = 8.18. So

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

73.30% probability that the sampling error made in estimating the mean amount of coffee for all 8-ounce jars by the mean of a random sample of 100 jars will be at most 0.02 ounce

8 0

3 years ago

Solve -4(x + 10) - 6 = -3(x - 2). (1 point)

muminat

Answer:

=-52

Step-by-step explanation:

5 0

2 years ago

Read 2 more answers

a stack of congruent blocks, piled one on top of the other, is 4/5 foot high. Each block is 1/10 foot tall. How many blocks are

kvasek [131]