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denis-greek [22]
1 year ago
15

Integral formula! and example!​

Mathematics
1 answer:
telo118 [61]1 year ago
7 0

Answer:

Formula for Integration:

Formula for Integration:\int {1\over x} \;dx= \ln x+C. \int \sin x\;dx=-\cos x+C. \int \cos x\;dx= \sin x + C. \int \sec^2 x\;dx=\tan x+C.

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P(A) = .6, P(B) = .3, P(Β | A) = .5
Reika [66]

Answer:

A

Step-by-step explanation:

P(B|A)=\frac{A ~and~B}{P(A)} \\0.5=\frac{P(A and B)}{0.6} \\P(A~and~B)=0.5 \times 0.6=0.30

8 0
2 years ago
Is (+11) +(-3)= 8 is this the right answer
aleksandr82 [10.1K]
Yes you see 11-3 is 8 so +11-3=8
6 0
3 years ago
Read 2 more answers
1) The table and graph shows the relationship between GPA, X, and SAT score, y.
Artist 52 [7]

The statement (A), statement (B), statement (D) are correct because the equation is y = 437.9x + 439.4

<h3>What is the line of best fit?</h3>

A mathematical notion called the line of the best fit connects points spread throughout a graph. It's a type of linear regression that uses scatter data to figure out the best way to define the dots' relationship.

From the data given, we can calculate the correlation coefficient, slope of the line, and y-intercept.

r = 0.90

Since r is close to 1 shows a strong correlation.

Slope of the line of best fit = 437.9

Y-intercept of line of the best fit = 439.4(Refer to the attached picture)

The line will be:

y = 437.9x + 439.4

Thus, the statement (A), statement (B), statement (D) are correct because the equation is y = 437.9x + 439.4

Learn more about the line of best fit here:

brainly.com/question/14279419

#SPJ1

6 0
2 years ago
A local car dealer claims that 25% of all cars in San Francisco are blue. You take a random sample of 600 cars in San Francisco
Delvig [45]

Answer:

Step-by-step explanation:

a) We would set up the hypothesis test.

For the null hypothesis,

p = 0.25

For the alternative hypothesis,

p ≠ 0.25

b) The test statistic to be used is the z test. The formula is

z = (P - p)/√pq/n

c) Considering the population proportion, probability of success, p = 0.25

q = probability of failure = 1 - p

q = 1 - 0.25 = 0.75

Considering the sample,

Sample proportion, P = x/n

Where

x = number of success = 141

n = number of samples = 600

P = 141/600 = 0.235

Therefore

z = (0.235 - 0.25)/√(0.25 × 0.75)/600 = - 0.85

d) Recall, population proportion, p = 0.25

The difference between sample proportion and population proportion is 0.25 - 0235. = 0.015

Since the curve is symmetrical and it is a two tailed test, the p for the left tail is 0.25 - 0.015 = 0.235

the p for the right tail is 0.25 + 0.015 = 0.265

These proportions are lower and higher than the null proportion. Thus, they are evidence in favour of the alternative hypothesis. We will look at the area in both tails. Since it is showing in one tail only, we would double the area

From the normal distribution table, the area below the test z score in the left tail 0.198

We would double this area to include the area in the right tail of z = 0.85. Thus

p = 0.198 × 2 = 0.396

e) Since alpha, 0.01 < than the p value, 0.396, then we would fail to reject the null hypothesis.

f) In a sample of 600 cars, we would observe a sample proportion of 0.015 or more away from 0.25 about 39.6% of the time by chance alone. Therefore, the sample result is not statistically significant because it could occur in 39.6% of the time by chance alone.

8 0
3 years ago
Someone please help me.
leva [86]

Answer:

All

Step-by-step explanation:

The answer is 1, 2, 3

I, II, III

5 0
3 years ago
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