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Vinvika [58]
3 years ago
6

luna ray has 5 orange picks and no green ticks. You add some green picks so 1 in every 3 picks is orange . How many picks are th

ere now?
Mathematics
2 answers:
ozzi3 years ago
6 0
The answer is two !!!
viktelen [127]3 years ago
6 0

Answer: 15 picks.


Step-by-step explanation:

Given : Luna ray has 5 orange picks and no green ticks.

If we add some green picks so 1 in every 3 picks is orange

Therefore, the ratio of total picks to orange pick is 3:1

If there are 5 orange picks , then the total number of picks= 3 times 5

Thus, the total number of picks=3×5= 15 picks.

Therefore, there are 15 picks now.

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Complete the square to make a perfect square trinomial. Then, write the result as a binomial squared. c2+3c
Nana76 [90]

Answer:

(c+3/2)^2

Step-by-step explanation:

8 0
3 years ago
Can somebody please help me with this question
aleksandr82 [10.1K]

Answer:

An event can have a probability of 3/2  is not true

Step-by-step explanation:

The probability of an event happening is between 0 and 1 inclusive.

A probability of 1 means the event is certain to happen or 100%

You cannot have a probability greater than 1 so

An event can have a probability of 3/2 cannot happen

4 0
2 years ago
Pls solve if u can <3 much appreciated
Scorpion4ik [409]

Step-by-step explanation:

that is only possible, if we don't need to use a 2 and a 5 (but especially the 2) to create the 1 in the middle (log(10) = log(2×5) or log (5×2) = 1).

in other words, if the 1 in the middle is just a given, and does not use any of our digits for is creation, then a solution is possible.

first of all, the upper left corner has to be log(0⁰). we cannot use the digit 0 for anything else. and 0^n (except for n = 0) is not a valid argument for a logarithm.

log(0⁰) = 0 log(2×1) = 0.3... log(9/4) = 0.35...

log(1×2) = 0.3... 1 log(3×6) = 1.26...

log(7/3) = 0.37... log(4×5) = 1.3... log(6⁹) = 7.0...

but as soon as we need to build the center 1 by log(10), which takes then away one of the 2s (as the only way to build 10 by multiplication is 2×5 or 5×2), there is no possible solution.

7 0
2 years ago
Plz help! will mark as branliest!
goldfiish [28.3K]
There were 24 medals in all

You make the denominator the same and add them. Add the medals and then divide. Hope this helps!
3 0
3 years ago
Since 1936, the Gallup Organization has been asking Americans: "Are you in favor of the death penalty for a person convicted of
USPshnik [31]

Answer:

98% confidence interval for the proportion of all American females who support the death penalty for convicted murders is [0.59 , 0.64].

Step-by-step explanation:

We are given that the results of the most recent survey; in a sample of 3100 females, 62% said that they were in favor of the death penalty for convicted murders.

Firstly, the pivotal quantity for 98% confidence interval for the population proportion is given by;

                                 P.Q. =  \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion of females who were in favor of the death penalty for convicted murders = 62%

n = sample of females = 3100

p = population proportion of all American females who support the death penalty

<em>Here for constructing 98% confidence interval we have used One-sample z proportion statistics.</em>

<u>So, 98% confidence interval for the population proportion, p is ;</u>

P(-2.33 < N(0,1) < 2.33) = 0.98  {As the critical value of z at 1% level

                                                   of significance are -2.33 & 2.33}  

P(-2.33 < \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < 2.33) = 0.98

P( -2.33 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < {\hat p-p} < 2.33 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.98

P( \hat p-2.33 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < p < \hat p+2.33 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.98

<u>98% confidence interval for p</u> = [ \hat p-2.33 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } , \hat p+2.33 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ]

= [ 0.62-2.33 \times {\sqrt{\frac{0.62(1-0.62)}{3100} } } , 0.62+2.33 \times {\sqrt{\frac{0.62(1-0.62)}{3100} } } ]

 = [0.59 , 0.64]

Therefore, 98% confidence interval for the proportion of all American females who support the death penalty for convicted murders is [0.59 , 0.64].

4 0
2 years ago
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