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ELEN [110]
3 years ago
10

A random sample of 300 students is selected from a large group of students who use a computer-equipped classroom on a regular ba

sis. Occasionally, students leave their USB drive in a computer. Of the 300 students questioned, 180 said that they write their name on their USB drive. Which of the following is a 98 percent confidence interval for the proportion of all students using the classroom who write their name on their USB drive?
Mathematics
1 answer:
8090 [49]3 years ago
4 0

Answer:a

Step-by-step explanation:

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A recent poll shows that 35% of adults are in favor of increased funding for education. The number of adults surveyed for the po
erastova [34]
The answer is 91. 260 people were surveyed, and 35 percent said yes. 35 percent of 165 is 91.
6 0
3 years ago
Read 2 more answers
Will the sum of 2x3+x2–4 and <br> –<br> 5x3–6x2 be a polynomial?
Lyrx [107]

Yes, it will be polynomial.

5 0
2 years ago
3. In triangle ABC, m&lt;BAC = 4x + 10, m&lt;ABC = 5x + 18, and m&lt;BCA = 3x - 16. <br>(a) Find the value of x. <br>(b) Find th
belka [17]

(a) Find the value of x.

Sum of interior in a triangle = 180

So m<BAC  + m<ABC + m<BCA = 180

4x + 10 + 5x + 18 + 3x - 16 = 180

12x + 12 = 180

12x = 168

  x = 14


(b) Find the measure of <3.

<3 + <BCA = 180

<BCA = 3x - 16 = 3(14) - 16 = 26°

So

<3 = 180 - <BCA

<3 = 180 - 26

<3 = 154°

7 0
3 years ago
Question #1:
olganol [36]

Answer:

1. The sum of the residuals is always close to zero.

2.The coefficient of determination measures how much of the variation in the y-values is explained by the regression line.

3. In the equation of the least-squares regression line, y hat is a predicted value when x is known

Step-by-step explanation:

The least square regression line is a line that makes distance from data points to the regression line to be as minimal as possible. This line is a best fit for the data points. Let's say we have a collection of numbers and a scatter plot, this line is a line that exists and best fits the data.

Therefore, the least square regression line minimizes sum of squared error to be close to zero. R² measures the extent to which variations in the value of y is explained by the regression line. In the equation of this line, y hat is a predicted value when x is known.

6 0
3 years ago
What are the solutions these equations have?<br> 4x-10y=-20<br> 6x-15y=-30
zimovet [89]

Answer:

x=-5 ,y=0

Step-by-step explanation:

(4x- 10y=- 20) *3

<u>(</u><u>6x-15y=-30</u><u>)</u><u> </u><u>*</u><u>2</u>

Y=0

X=-5

5 0
2 years ago
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