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rosijanka [135]
2 years ago
10

I WILL AWARD BRAINLIEST TO THE FIRST PERSON TO ANSWER HONESTLY

Mathematics
1 answer:
ruslelena [56]2 years ago
3 0

Answer:

1,3,5

Step-by-step explanation:

Your first answer is correct,the third one too,and your fifth too.

Hope this helps:)

Pls mark brainlist

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3 years ago
The mean weight of frozen yogurt cups in an ice cream parlor is 8 oz.Suppose the weight of each cup served is normally distribut
vaieri [72.5K]

Answer:

10.03% probability of getting a cup weighing more than 8.64oz

Step-by-step explanation:

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.

In this question, we have that:

\mu = 8, \sigma = 0.5

What is the probability of getting a cup weighing more than 8.64oz

This is the 1 subtracted by the pvalue of Z when X = 8.64. So

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

Z = \frac{8.64 - 8}{0.5}

Z = 1.28

Z = 1.28 has a pvalue of 0.8997

1 - 0.8997 = 0.1003

10.03% probability of getting a cup weighing more than 8.64oz

4 0
3 years ago
The points on this graph represent a relationship between r- and y-values. Which
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Ma suga us ka pawake
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1)-6/4x+4

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8)-1/3x

I added some guides for you to know how to do this.

4 0
3 years ago
Please help me, I will mark brainly!!
mezya [45]
The answer is to go on a browser instead of an app and search it up
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3 years ago
Read 2 more answers
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