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marta [7]
3 years ago
14

(07.07A LC) What best describes the function that is graphed below? A graph shows a slanting straight line that starts at the or

igin and goes up. PLEASE ANSWER QUICKLY
Mathematics
1 answer:
slavikrds [6]3 years ago
7 0
Where are the graphs?????????
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Help please it’s one question! i’ll mark brainliest ❤️❤️l
olganol [36]

Answer:

73.8

Step-by-step explanation:

10% of 82 is 8.2

82 - 8.2 = 73.8

5 0
3 years ago
The amount of potato chips an 18-ounce bag contains follows a normal distribution with a mean of 18.5 ounces and a standard devi
bekas [8.4K]

Answer:

100% probability that the sample mean weight of these 100 bags is less than 18.6 ounces

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 question, we have that:

\mu = 18.5, \sigma = 0.2, n = 100, s = \frac{0.2}{\sqrt{100}} = 0.02

What is the probability that the sample mean weight of these 100 bags is less than 18.6 ounces

This is the pvalue of Z when X = 18.6. So

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

By the Central Limit Theorem

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

Z = \frac{18.6 - 18.5}{0.02}

Z = 5 has a pvalue of 1

100% probability that the sample mean weight of these 100 bags is less than 18.6 ounces

7 0
3 years ago
Kate had a sum of money,she spent 1/8 of the money on a skirt and the remaining amount on a handbag,the skirt cost $16,how much
tiny-mole [99]

Answer:

$18.28

Step-by-step explanation:

Step one:

given data

Kate had a sum of money,she spent 1/8 of the money on a skirt and the remaining amount on a handbag

let the total money be x

so  mathematically

x-1/8*x= 16

solve for x

x-x/8= 16

8x-x/8= 16

7x/8=16

cross multiply

7x= 8*16

7x=128

divide both sides by 7

x=128/7

x=$18.28

7 0
3 years ago
im just bored this is a very easy question so i got like nothing to do rn 2+3+8= first one get brianiliest
pav-90 [236]

Answer:

Step-by-step explanation:

6 0
2 years ago
Read 2 more answers
Jack's last six scores are 75,78,83,80,79,84. If he scores a 90 on the next test, by how much will his mean test score increase?
kondaur [170]

Answer:

1.46

Step-by-step explanation:

First find the the mean score before he made a 90.

\frac{75+78+83+80+79+84}{6} = 79.83

Now add the score of 90 and calculate.

\frac{75+78+83+80+79+84+ 90}{7} = 81.29

Subtract the two scores.

81.29-79.83 = 1.46

His mean test score increased by 1.46.

8 0
3 years ago
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