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tester [92]
2 years ago
8

Suppose that the breaking strength of a rope (in pounds) is normally distributed, with a mean of 100 pounds and a standard devia

tion of 17. What is the probability that a certain rope will break before being subjected to 130 pounds?
Mathematics
1 answer:
EleoNora [17]2 years ago
8 0

Answer:

0.961

Step-by-step explanation:

To answer this, find the area under the standard normal curve to the left of 130 pounds:

Using the function normalcdf( on a TI calculator, we get:

normalcdf(-1000, 130, 100, 17) = 0.961

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Alex has x number of baseball cards Danny has 10 more baseball cards than Alex how many baseball cards does Danny have:write you
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x+10

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3 years ago
What two variables are likely to have a negative correlation
kogti [31]

Answer:

<u><em>Negative Correlation</em></u>

The variable x - value increases as y- value decreases is called negative correlation.

Step-by-step explanation:

<u><em>Explanation</em></u>:-

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The negative correlation is a relation between two variables such that they are part of a function in which depends and independent variables move in different directions in terms of value.

<u><em>Positive correlation</em></u>

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<u><em>Negative Correlation</em></u>

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<u><em>No correlation </em></u>

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3 years ago
Voltage = 18v. Current = 36 amps resistance =?
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8 0
3 years ago
) How many kilowatt hours would the model predict on a day that has 14 hours of possible daylight?
eimsori [14]

Question:

A solar power company is trying to correlate the total possible hours of daylight (simply the time from sunrise to sunset) on a given day to the production from solar panels on a residential unit. They created a scatter plot for one such unit over the span of five months. The scatter plot is shown below. The equation line of best fit for this bivariate data set was: y = 2.26x + 20.01

How many kilowatt hours would the model predict on a day that has 14 hours of possible daylight?

Answer:

51.65 kilowatt hours

Step-by-step explanation:

We are given the equation line of best fit for this data as:

y = 2.26x + 20.01

On a day that has 14 hours of possible daylight, the model prediction will be calculated as follow:

Let x = 14 in the equation.

Therefore,

y = 2.26x + 20.01

y = 2.26(14) + 20.01

y = 31.64 + 20.01

y = 51.65

On a day that has 14 hours of daylight, the model would predict 51.65 kilowatt hours

8 0
3 years ago
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