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iogann1982 [59]
3 years ago
13

The line with slope of 1/3 passing through the point -2,5

Mathematics
1 answer:
Firdavs [7]3 years ago
3 0

Step-by-step explanation:

Equation of line in slope point form is given as:

y - y_1 = m(x-x_1)  \\ y - 5 =  \frac{1}{3}(x + 2) \\ y - 5 =  \frac{1}{3} x +  \frac{2}{3}  \\ y = \frac{1}{3} x +  \frac{2}{3} + 5 \\ y = \frac{1}{3} x +  \frac{2 + 3 \times 5}{3} \\  \\  \red { \bold{y = \frac{1}{3} x +  \frac{17}{3} }}\\

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Place these events on the probability
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Answer:

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Not sure of the rest but hope this helps

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The cost of a raffle ticket is $2. There is also a one-time $5 fee to be part of the raffle. Which of the following expressions
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Read 2 more answers
Suppose that grade point averages of undergraduate students at one university have a bell-shaped distribution with a mean of 2.5
masya89 [10]

Answer:

z= \frac{3.44-2.54}{0.45}=2

P(X>3.44) = P(Z>2) = 0.025

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the grade points avergae of a population, and for this case we know the following properties

Where \mu=2.54 and \sigma=0.45

The empirical rule, also referred to as the three-sigma rule or 68-95-99.7 rule, is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ). Broken down, the empirical rule shows that 68% falls within the first standard deviation (µ ± σ), 95% within the first two standard deviations (µ ± 2σ), and 99.7% within the first three standard deviations (µ ± 3σ).

So we can find the z score for the value of X=3.44 in order to see how many deviations above or belowe we are from the mean like this:

z= \frac{3.44-2.54}{0.45}=2

So the value of 3.44 is 2 deviations above from the mean, so then we know that the percentage between two deviations from the mean is 95% and on each tail we need to have (100-95)/2 = 2.5% , because the distribution is symmetrical, so based on this we can conclude that:

P(X>3.44) = P(Z>2) = 0.025

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ValentinkaMS [17]
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