Pls ANSWER in you know the Answer

Mathematics

1 answer:

lozanna [386]3 years ago

3 0

Answer:

22.5 inches

Step-by-step explanation:

To find the unit rate, you divide the amount the plant grew by the amount of weeks. We learned that the plant grew 75 inches in 100 weeks, so we divide 75/100, to get 0.75. This means that the plant grows 0.75 inches per week, so in 30 weeks, it would grow 22.5 inches. This is calculated by multiplying 0.75 by 30 weeks.

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Determine whether each pair of ratios are equivalent. Explain (3/5),(9/15)

Lyrx [107]

Multiple both ratios by a least common denominator
the least common denominator for both is 15
multiply the first ratio by 3/3
9/15=9/15
both are equal because when multiplying by the least common denominator you get the same answer

6 0

3 years ago

Determine the values of c so that the following functions represent joint probability distributions of the random variables X an

Anna11 [10]

Answer:

The joint probility density will be c = 1/36

The joint probability distribution will be c = 1/15

Step-by-step explanation:

For step by step explanation see the pucture attached

7 0

2 years ago

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xenn [34]

Answer:

Step-by-step explanation:

200+150+150=500

500-500=0

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2 years ago

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A set of data items is normally distributed with a mean of 400 and a standard deviation of 60. Find the data item in this distri

Softa [21]

Answer:

The data item is $X = 580$

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.

Mean of 400 and a standard deviation of 60.

This means that $\mu = 400, \sigma = 60$