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Butoxors [25]
3 years ago
11

A jar contains three red marbles to orange marbles three green marbles and four blue marbles one marble is chosen at random. Lis

t the favorable outcomes
Mathematics
2 answers:
Papessa [141]3 years ago
6 0

Answer:

red marbles=3/10,green marbles=3/10,blue marbles=4/10

Step-by-step explanation:

The first thing I did is find the outcome which is the total number of marbles and finding the outcome to each marble knowing how much marbles are in one specific color like there are 3 marbles which are red and 10 marbles total so the outcome would be 3/10 chance in picking a red marble,the same goes to the rest of the colored marbles...sorry if I wrote too much

alina1380 [7]3 years ago
3 0

Answer:

1.yy, yo, yr, oy, oo, or, ry, ro, rr

2. 5

Step-by-step explanation:

i hope this helped

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4 times 3 is 12 and 12-17 is -5.

Step-by-step explanation:

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This is a piece-wise function. The three intervals we need to worry about are [0, 1), [1,2], and [2,4].

Separate the functions into their pieces and draw out the individual graphs. Place them together onto the graph within their respective intervals.

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2 years ago
An automobile manufacturer has given its car a 46.7 miles/gallon (MPG) rating. An independent testing firm has been contracted t
erastova [34]

Answer:

z=\frac{46.5-46.7}{\frac{1.1}{\sqrt{150}}}=-2.23    

The p value would be given by:

p_v =2*P(z  

For this case since th p value is lower than the significance level of0.05 we have enough evidence to reject the null hypothesis and we can conclude that the true mean for this case is significantly different from 46.7 MPG

Step-by-step explanation:

Information given

\bar X=46.5 represent the mean

\sigma=1.1 represent the population standard deviation

n=150 sample size  

\mu_o =46.7 represent the value to verify

\alpha=0.05 represent the significance level for the hypothesis test.  

z would represent the statistic

p_v represent the p value

Hypothesis to test

We want to test if the true mean for this case is 46.7, the system of hypothesis would be:  

Null hypothesis:\mu = 46.7  

Alternative hypothesis:\mu \neq 46.7  

Since we know the population deviation the statistic is given by:

z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}}  (1)  

Replacing we got:

z=\frac{46.5-46.7}{\frac{1.1}{\sqrt{150}}}=-2.23    

The p value would be given by:

p_v =2*P(z  

For this case since th p value is lower than the significance level of0.05 we have enough evidence to reject the null hypothesis and we can conclude that the true mean for this case is significantly different from 46.7 MPG

7 0
3 years ago
Which of the following is NOT a conclusion of the Central Limit​ Theorem? Choose the correct answer below. A. The mean of all sa
ANTONII [103]

Answer:

The distribution of the sample data will approach a normal distribution as the sample size increases.

Step-by-step explanation:

Central limit​ theorem states that the mean of all samples from the same population will be almost equal to the mean of the population, if the large sample size from a population, is given with a finite level of variance.

So, here Option C is not correct conclusion of central limit theorem -The distribution of the sample data will approach a normal distribution as the sample size increases.

We can say that the average of sample mean tends to be normal but not the sample data.

7 0
3 years ago
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