Answer:
<em>Project 4 Score ; 41</em>
Step-by-step explanation:
Assuming that Project 4's score is x;
( Project 1 + Project 2 + Project 3 + Project 4 ) / 4 ⇒ take to substituting the value of each Project, provided Project 4's score being x;
45 = 42 + 49 + 48 + x / 4 ⇒ combine like terms,
45 = ( 139 + x ) / 4 ⇒ let 4 be a common denominator among numerator terms,
45 = 139 / 4 + x / 4 ⇒ divide 139 over 4,
45 = 34.75 + x / 4 ⇒ subtract 34.75 from either side,
10.25 = x / 4 ⇒ Multiply either side by 4,
x = 41 = Score of Project 4,
<em>Solution; Project 4 ⇒ 41</em>
Answer:
12 pieces
Step-by-step explanation:
Since on Thursday Glenn and Ben each ate an eight, then total they ate 2*1/8=2/8=¼
¼ of 24 pieces is equivalent to
¼*24=6 pieces
The number of pieces that remain would be 24-6=18 pieces
The one third of leftover ate rhe next day will be equivalent to
⅓ of 18
⅓*18=6 pieces
Remaining pieces next day will be 18-6=12 pieces
Therefore, only 12 pieces out of 24 original pieces remain the following day.
Answer:
The probability that the sample proportion will differ from the population proportion by greater than 0.03 is 0.009.
Step-by-step explanation:
According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this sampling distribution of sample proportion is:

The standard deviation of this sampling distribution of sample proportion is:

As the sample size is large, i.e. <em>n</em> = 492 > 30, the central limit theorem can be used to approximate the sampling distribution of sample proportion by the normal distribution.
The mean and standard deviation of the sampling distribution of sample proportion are:

Compute the probability that the sample proportion will differ from the population proportion by greater than 0.03 as follows:

![=P(|Z|>2.61)\\\\=1-P(|Z|\leq 2.61)\\\\=1-P(-2.61\leq Z\leq 2.61)\\\\=1-[P(Z\leq 2.61)-P(Z\leq -2.61)]\\\\=1-0.9955+0.0045\\\\=0.0090](https://tex.z-dn.net/?f=%3DP%28%7CZ%7C%3E2.61%29%5C%5C%5C%5C%3D1-P%28%7CZ%7C%5Cleq%202.61%29%5C%5C%5C%5C%3D1-P%28-2.61%5Cleq%20Z%5Cleq%202.61%29%5C%5C%5C%5C%3D1-%5BP%28Z%5Cleq%202.61%29-P%28Z%5Cleq%20-2.61%29%5D%5C%5C%5C%5C%3D1-0.9955%2B0.0045%5C%5C%5C%5C%3D0.0090)
Thus, the probability that the sample proportion will differ from the population proportion by greater than 0.03 is 0.009.
Answer:
i think 8
Step-by-step explanation: