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3 years ago

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Mathematics

1 answer:

ankoles [38]3 years ago

5 0

Answer:

Step-by-step explanation:

English, 22.06.2019 06:10

Read the excerpt from holes. mr. sir laughed. "you see any guard towers? " "no." "how about an electric fence? " "no, mr. sir." "there's no fence at all, is there? " "no, mr. sir." "you want to run away? " mr. sir asked him. stanley looked back at him, unsure what he meant. "if you want to run away, go ahead, start running. i'm not going to stop you." in this excerpt, the author provides details about the character of mr. sir primarily through what he says. what he does. others’ thoughts. others’ reactions.

English, 22.06.2019 06:10

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You bought 3 whiteboard markers and one eraser for each of the ten students in class. A eraser costs $2.75 and the total cost wa

Butoxors [25]

Let M represent the cost of a whiteboard marker.

10(3M + $2.75) = $177.50

3M + $2.75 = $17.75

3M = $15

M = $5

Hence, each whiteboard marker cost $5.

3 0

3 years ago

What equation is represented by this graph?

Mademuasel [1]

Answer:

y= 1.2x+1

Step-by-step explanation:

(0,1) and (-5,-5) are coordinates that you already know and are fs about. So you just see rise over run. 6/5 = 1.2 which is your slope. the y-int is 1 bc thats where it intersects. so your equation is y=1.2x+1

double check:

y = 1.2(-5) + 1

y = -6 + 1

y = -5

coordinates : (-5,-5)

5 0

3 years ago

The distribution of the number of people in line at a grocery store has a mean of 3 and a variance of 9. A sample of the numbers

Airida [17]

Answer:

a) $P(\bar X >4)=P(Z>\frac{4-3}{\frac{3}{\sqrt{50}}}=2.357)$

$P(Z>2.357)=1-P(Z$

b) $P(\bar X \frac{2.5-3}{\frac{3}{\sqrt{50}}}=-1.179)$

$P(Z$

$P(2.5 < \bar X< 3.5) = P(\frac{2.5-3}{\frac{3}{\sqrt{50}}}$

$P(-1.179$ 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".

Part a

Let X the random variable that represent the number of people of a population, and for this case we know that:

Where $\mu=3$ and $\sigma=\sqrt{9}=3$

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

From the central limit theorem we know that the distribution for the sample mean $\bar X$ is given by: