Whats 3+3 hi guyzzz lets tolk

Mathematics

2 answers:

QveST [7]3 years ago

7 0

Answer:

6. Let's talk

Mark me as brainliest please

Step-by-step explanation:

Zarrin [17]3 years ago

4 0

Answer:

6 :)

Step-by-step explanation:

Thanks for the easy question! Have a wonderful day!

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Ratios Help easyyy plzz help me !!!!!

schepotkina [342]

The first one states that there are 6 cups of orange juice for every _ cups of punch

There are 6 cups of orange juice and 4 cups of cranberry in 10 cups of juice because 6 c orange + 4 c cranberry = 10 cups total punch

So for 6 cups of orange juice there would be 10 cups of punch.

The 3rd one states that the ratio of cranberry juice to punch is _:_

Punch is cranberry and orange combined- at the ratio of 4:6

So for 4 cups of cranberry, there would be 10 cups punch (4 c cranberry + 6 c orange = 10 c punch)

So the ratio would be 4:10, it can be simplified like fractions as 2:5

I don't know is you have to but if you do, don't forget to simplify the ratios.

Good luck!

7 0

3 years ago

3. Using the sample size of 800 and the proportion 0.47, calculate the margin of error associated with the estimate of the propo

salantis [7]

Answer:

$ME=1.96\sqrt{\frac{0.47 (1-0.47)}{800}}=0.0346$

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

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 population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{p(1-p)}{n}})$

Solution to the problem

We assume for this case a confidence level of 95%. In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . And the critical value would be given by: