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Dafna11 [192]
3 years ago
6

I need help again please help

Mathematics
1 answer:
makvit [3.9K]3 years ago
3 0

1 out 12 is the probability of it being raspberry-filled.

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4/9 > y/18 please help me solve this ASAP would be nice please thank you
zlopas [31]

Answer:

2>y

Step-by-step explanation:

4/9>y/18

Here u cross multiple

4*18 >9*y

72>9y

the you divide both sides by 9

72/9>9y/9

8>y

3 0
3 years ago
Need help in maths which are imp short ans...​
amm1812

Answer:

I answered this question in few question u can check

6 0
3 years ago
x to the second power plus 14x plus 48. what are the factors? we are doing factoring trinomials with a=1
snow_tiger [21]

Answer:

(x + 6)(x + 8)

Step-by-step explanation:

Consider the factors of the constant term (48 ) which sum to give the coefficient of the x- term (14 )

The factors are + 6 and + 8

since 6 × 8 = 48 and 6 + 8 = 14

x² + 14x + 48 = (x + 6)(x + 8) ← in factored form


3 0
3 years ago
A company surveyed 2400 men where 1248 of the men identified themselves as the primary grocery shopper in their household. ​a) E
polet [3.4K]

Answer:

a) With a confidence level of 98%, the percentage of all males who identify themselves as the primary grocery shopper are between 0.4962 and 0.5438.

b) The lower limit of the confidence interval is higher that 0.43, so if he conduct a hypothesis test, he will find that the data shows evidence to said that the fraction is higher than 43%.

c) \alpha =1-0.98=0.02

Step-by-step explanation:

If np' and n(1-p') are higher than 5, a confidence interval for the proportion is calculated as:

p'-z_{\alpha/2}\sqrt{\frac{p'(1-p')}{n} }\leq  p\leq p'+z_{\alpha/2}\sqrt{\frac{p'(1-p')}{n} }

Where p' is the proportion of the sample, n is the size of the sample, p is the proportion of the population and z_{\alpha/2} is the z-value that let a probability of \alpha/2 on the right tail.

Then, a 98% confidence interval for the percentage of all males who identify themselves as the primary grocery shopper can be calculated replacing p' by 0.52, n by 2400, \alpha by 0.02 and z_{\alpha/2} by 2.33

Where p' and \alpha are calculated as:

p' = \frac{1248}{2400}=0.52\\\alpha =1-0.98=0.02

So, replacing the values we get:

0.52-2.33\sqrt{\frac{0.52(1-0.52)}{2400} }\leq  p\leq 0.52+2.33\sqrt{\frac{0.52(1-0.52)}{2400} }\\0.52-0.0238\leq p\leq 0.52+0.0238\\0.4962\leq p\leq 0.5438

With a confidence level of 98%, the percentage of all males who identify themselves as the primary grocery shopper are between 0.4962 and 0.5438.

The lower limit of the confidence interval is higher that 0.43, so if he conduct a hypothesis test, he will find that the data shows evidence to said that the fraction is higher than 43%.

Finally, the level of significance is the probability to reject the null hypothesis given that the null hypothesis is true. It is also the complement of the level of confidence. So, if we create a 98% confidence interval, the level of confidence 1-\alpha is equal to 98%

It means the the level of significance \alpha is:

\alpha =1-0.98=0.02

4 0
3 years ago
Assume you are working with a standard deck of 52 cards. There are 13 cards (2, 3, 4, 5, 6, 7, 8, 9, 10, jack, queen, king, and
NemiM [27]

Answer:

P(9\cup queen)=\frac{2}{13}

Step-by-step explanation:

Total number of cards=52

Total cards of 9=4(1\ club,1\ diamond,1\ heart,1\ spades)

Total cards of Queen=4(1\ club,1\ diamond,1\ heart,1\ spades)

Total number of elements in 9\cup Queen=8

P(9\cup queen)=\frac{elements\ in\ 9\cup queen}{Total\ number\ of\ elements}\\\\P(9\cup queen)=\frac{8}{52}=\frac{2}{13}

7 0
3 years ago
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