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Maurinko [17]
3 years ago
9

While sorting some change into piggy banks, belle put 2 coins in the first piggy bank, 8 coins in the second piggy bank, 32 coin

s in the third piggy bank, and 128 coins in the fourth piggy bank. if this pattern continues, how many coins will belle put in the fifth piggy bank?
Mathematics
2 answers:
choli [55]3 years ago
8 0

Answer:

Well Piggy got stuck into a bank and kermit got sad.

Step-by-step explanation:

SORRY BRAINLY JUST HAD TO XD

Bond [772]3 years ago
6 0
512 coins will be in the fifth piggy bank
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solmaris [256]
Log=13
t=4
So, this is because they already given you t because the four is on front of it that gives you your value. From there you will proceed to j7st do the math in your parentheses. You should get log=(1) & log=(13) because 1 times anything is that number just use the inverse of each would be eachother. So, 1x13 is the same as 13x1
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--2, -12, 4, 24, -8, -48, 16, n<br> what's n?
tia_tia [17]

96

Step-by-step explanation:

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3 years ago
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Can someone help me with this question?
photoshop1234 [79]

Answer:

yes, AA

Step-by-step explanation:

since both have 90 degree angles, and 62+28 is also 90, all 3 sets of angles are congruent

5 0
2 years ago
10. A manufacturer wanted to know if more coupons would be redeemed if they were mailed to the
Mandarinka [93]

Using the t-distribution, it is found that the data does not provide convincing evidence that the mean number is greater when the coupons were addressed to a female.

<h3>What are the hypothesis tested?</h3>

At the null hypothesis, it is tested if there is no difference, that is, the mean is of 0, hence:

H_0: \mu = 0

At the alternative hypothesis, it is tested if the mean number is greater for females, that is, the mean is greater than 0, hence:

H_1: \mu > 0

<h3>What is the test statistic?</h3>

The test statistic is given by:

t = \frac{\overline{x} - \mu}{\frac{s}{\sqrt{n}}}

The parameters are:

  • \overline{x} is the sample mean.
  • \mu is the value tested at the null hypothesis.
  • s is the standard deviation of the sample.
  • n is the sample size.

In this problem, the parameters are given as follows:

\overline{x} = 1.5, \mu = 0, s = 4.75, n = 50.

Hence, the test statistic is given by:

t = \frac{\overline{x} - \mu}{\frac{s}{\sqrt{n}}}

t = \frac{1.5 - 0}{\frac{4.75}{\sqrt{50}}}

t = 2.23

<h3>What is the conclusion?</h3>

Considering a <em>right-tailed test</em>, as we are testing if the mean is greater than a value, with a <em>significance level of 0.01 and 50 - 1 = 49 df</em>, the critical value is given by t^{\ast} = 2.4.

Since the test statistic is less than the critical value for the right-tailed test, the data does not provide convincing evidence that the mean number is greater when the coupons were addressed to a female.

More can be learned about the t-distribution at brainly.com/question/26454209

5 0
1 year ago
How to do it and the answer
Anastasy [175]

Answer:

Answer is :- Each pork chop weight is 4.8 ounces.

Step-by-step explanation:

Given,

A 3 pound pork can be cut into 10 pork chops of equal weight.

Weight of one pork chop = 3/10 pounds

or Weight of one pork chop = 0.3 pound

We can convert 0.3 pounds into ounces

Since 1 pound = 16 ounces

Then, 0.3 pound = 16 * 0.3 ounces

or 0.3 pound = 4.8 ounces

Hence each pork chop weight is 4.8 ounces.

8 0
3 years ago
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