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Gennadij [26K]
2 years ago
11

​mars, inc. claims that​ 20% of its​ m&m plain candies are orange. a sample of 100 such candies is randomly selected. find t

he mean and standard deviation for the number of orange candies in such groups of 100.
Mathematics
2 answers:
NISA [10]2 years ago
7 0

Answer:

mean = 20; standard deviation = 4

Step-by-step explanation:

To find the mean, we multiply n, the number of trials, by p, the probability that the candy is orange:

n(p) = 100(0.2) = 20

To find the standard deviation, we first multiply n by p and by q, the probability that the candy is not orange.  Since p = 0..2, q = 1-0.2 = 0.8:

100(0.2)(0.8) = 16

Next we take the square root:

√16 = 4

elena-14-01-66 [18.8K]2 years ago
4 0
The probability p of an orangecandy is 0.2. The sample size = 100.
The mean is given by:
n\times p=100\times0.2=20
The standard deviation is given by:
\sqrt{npq} = \sqrt{100\times0.2\times(1-0.2)} =4
The answers are: Mean = 20. Standard deviation = 4.

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The college has 700 students, and has issued student 388 parking permits. What is the percentage of students with parking permit
andreyandreev [35.5K]

55.4% ( to 1 decimal place )

to find percentage, make a fraction with parking permits issued on numerator and total students on denominator then multiply by 100%

percent of students with parking permits = \frac{388}{700} × 100% = 55.4%


4 0
2 years ago
At a recent county fair, you observed that at one stand people's weight was forecasted, and were surprised by the accuracy (with
MatroZZZ [7]

Answer:

a)Slope: \hat \beta_1 =\frac{7625.9}{1248.9}=6.106

Intercept: \hat \beta_o = 157.955 -6.106 (69.686)=-267.548

b) r=\frac{7625.9}{\sqrt{[1248.9][94228.8]}}=0.657  

And the determination coeffecient is r^2 = 0.657^2 =0.432  

Step-by-step explanation:

Data given and definitions

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.  

The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"    

When we conduct a multiple regression we want to know about the relationship between several independent or predictor variables and a dependent or criterion variable.  

n=110, \sum x_i y_i = \sum (X-\bar X)(Y-\bar Y) =7625.9,\sum x^2_i=\sum (x-\bar x)^2 =1248.9 , sum y^2_i=\sum(y-\bar y)^2 =94228.8  

\sum Y_i =17375 , \sum X_i = 7665.5

Part a

The slope is given by this formula:

\hat \beta_1 =\frac{\sum (x-\bar x) (y-\bar y)}{\sum (x-\bar x )^2}

If we replace we got:

\hat \beta_1 =\frac{7625.9}{1248.9}=6.106

We can find the intercept with the following formula

\hat \beta_o = \bar y -\hat \beta_1 \bar x

We can find the average for x and y like this:

\bar X=7665.5/110 =69.686, \bar y= 17375/110=157.955

And replacing we got:

\hat \beta_o = 157.955 -6.106 (69.686)=-267.548

Part b

In order to calculate the correlation coefficient we can use this formula:  

r=\frac{\sum (x-\bar x)(y-\bar y) }{\sqrt{[\sum (x-\bar x)^2][\sum(y-\bar y)^2]}}  

For our case we have this:  

n=110, \sum x_i y_i = \sum (X-\bar X)(Y-\bar Y) =7625.9,\sum x^2_i=\sum (x-\bar x)^2 =1248.9 , sum y^2_i=\sum(y-\bar y)^2 =94228.8  

So we can find the correlation coefficient replacing like this:

r=\frac{7625.9}{\sqrt{[1248.9][94228.8]}}=0.657  

And the determination coeffecient is r^2 = 0.657^2 =0.432  

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Ellen can spend at most $8.25 on snacks for a party. Carrots cost $2 per pack and grapes cost 0.75 per bag. Write a linear inequ
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2c + .75g less than or equal to 8.25


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