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Akimi4 [234]
3 years ago
10

What is the value of x in this equation? 2x + 2 = -52 pls someone help

Mathematics
2 answers:
harkovskaia [24]3 years ago
8 0

Answer: x= −27 or x = 27

Step-by-step explanation:

stepan [7]3 years ago
4 0

Answer:

-27

Step-by-step explanation:

Subtract 2 from both sides

2x= -54

Divide both sides by 2

x = -27

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7x2 - 2x2 = .......................................
natulia [17]

Answer:

10

Step-by-step explanation:

7*2 - 2*2 = 14 - 4 = 10

Plz mark as brainliest!

4 0
3 years ago
Read 2 more answers
20 points !!! -3/8x-20+2x>6
Semenov [28]

Answer:

x > 16

Step-by-step explanation:

- \frac{3}{8} x -20+2x>6

Add 20 to both sides:

-  \frac{3}{8} x + 2x > 26

Multiply 8 on both sides:

- 3x + 16x > 208

13x > 208

Divide by 13 on both sides:

x > 16

3 0
3 years ago
Read 2 more answers
During the 2000 season, the home team won 138 out of 240 regular season National Football League games. (15 points) a) Construct
jeka94

Answer:

Step-by-step explanation:

A) Confidence interval is written as

Sample proportion ± margin of error

Margin of error = z × √pq/n

Where

z represents the z score corresponding to the confidence level

p = sample proportion. It also means probability of success

q = probability of failure

q = 1 - p

p = x/n

Where

n represents the number of samples

x represents the number of success

From the information given,

n = 240

x = 138

p = 138/240 = 0.58

q = 1 - 0.58 = 0.42

To determine the z score, we subtract the confidence level from 100% to get α

α = 1 - 0.95 = 0.05

α/2 = 0.05/2 = 0.025

This is the area in each tail. Since we want the area in the middle, it becomes

1 - 0.025 = 0.975

The z score corresponding to the area on the z table is 1.96. Thus, the z score for a confidence level of 95% is 1.96

Therefore, the 95% confidence interval is

0.58 ± 1.96√(0.58)(0.42)/240

Confidence interval is

0.58 ± 0.062

B) winning more than halve of the games would be winning 120 games and above.

p = 120/240 = 0.5

We would set up the hypothesis test.

For the null hypothesis,

P ≥ 0.5

For the alternative hypothesis,

P < 0.5

Considering the population proportion, probability of success, p = 0.5

q = probability of failure = 1 - p

q = 1 - 0.5 = 0.5

Considering the sample,

Sample proportion, P = x/n

Where

x = number of success = 138

n = number of samples = 240

P = 138/240 = 0.58

We would determine the test statistic which is the z score

z = (P - p)/√pq/n

z = (0.58 - 0.5)/√(0.5 × 0.5)/240 = 2.48

Recall that this is a left tailed test. We would determine the probability value of the area to the right of the z score from the normal distribution table.

P value = 1 - 0.9934 = 0.0066

Since alpha, 0.01 > the p value, 0.0066, then we would reject the null hypothesis.

Therefore, At the 0.01 significance level, there is no strong evidence of a home field advantage (they win more than half of the games) in professional football.

3 0
3 years ago
The box plot represents the distribution of the number of points scored by a cross country team at 12 meets. If possible, find t
Reil [10]

The median is the value equivalent to the vertical line as shown. Hence the median point is 34

<h3>What is a median?</h3>

The median is defined as the value at the middle after rearrangement.

From the given boxplot, we have the following

The minimum value is equivalent to the lower position of the whisker = 22

The maximum value is equivalent to the upper position of the whisker = 42

The median is the value vertical line in between the box = 34

The lower quartile (Q1) = starting point of the box = 33

Upper quartile (Q3) = end point of the box = 38

For the boxplot, the median is the value equivalent to the vertical line as shown. Hence the median point is 34

Learn more on boxplot here: brainly.com/question/12992903?referrer=searchResults

5 0
2 years ago
Please help asap!!!!!!!!!!
elena-s [515]

Answer:

b

Step-by-step explanation:

8 0
3 years ago
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