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MrRa [10]
3 years ago
14

Lashonda has scored 83, 72, 74, and 85 on her previous four tests. What score does she need on her next test so that her average

(mean) is 81?
Mathematics
1 answer:
Romashka [77]3 years ago
5 0

Answer:

91

Step-by-step explanation:

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Find the value of 21.41 + 12.0 . (show the work)
Grace [21]

Answer:33.41

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
the graph shows the following equation. what are the solution to the system y = 4x + 21 and y =-(1/3)x+4+6
coldgirl [10]

Answer:

(-6,3) and (-4,-5) are the solutions to the system

Step-by-step explanation:

The solution to a system of equations are the point(s) where the graphes intersect. On the graph is a linear function and an exponential. Because of the curve in the exponential, the graph has two solutions at (-6,3) and (-4,-5).

4 0
4 years ago
Peter earns $32,000 per year plus a 2.5% commission on his jewelry sales. Find Peter's total salary for the year when his sales
Murrr4er [49]
42000 - 100%
x - 25%
x = 2.5*420000/100 = 2.5*4200 = 10500

total: $32000 + 10500 = 42500

hope this help
7 0
4 years ago
Help me please aahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh
serious [3.7K]
Your picture is not loading or is blank please ask another question.
4 0
3 years ago
Find the upper 20%of the weight?
meriva

Answer:

The upper 20% of the weighs are weights of at least X, which is X = 0.84\sigma + \mu, in which \sigma is the standard deviation of all weights and \mu is the mean.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Upper 20% of weights:

The upper 20% of the weighs are weighs of at least X, which is found when Z has a p-value of 0.8. So X when Z = 0.84. Then

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

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

X = 0.84\sigma + \mu

The upper 20% of the weighs are weights of at least X, which is X = 0.84\sigma + \mu, in which \sigma is the standard deviation of all weights and \mu is the mean.

6 0
3 years ago
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