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Nina [5.8K]
3 years ago
12

Can someone help? I'll give brainliest to the right answer! ​

Mathematics
1 answer:
Serggg [28]3 years ago
7 0

Answer:

c is the answer

Step-by-step explanation:

i ust know

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A bullet train can travel at 170 miles per hour.Will a graph representing distance in mile compared to time in hours show a prop
Eddi Din [679]
Yes the graph will show a proportional relationship
6 0
3 years ago
What is the HCF of 4 and 9? Please explain.​
kakasveta [241]
<h3>HCF of 4 and 9 is 1</h3>

  • HCF of 4 and 9 is the largest possible number that divides 4 and 9 exactly without any remainder. The factors of 4 and 9 are 1, 2, 4 and 1, 3, 9 respectively.

‌

So , the HCF of 4 and 9 is 1

8 0
2 years ago
Read 2 more answers
Please answer quick just super small explanation pls hurry quick for brainlessly
Ber [7]

Answer:

A = 81

Step-by-step explanation:

When there is a number above the other. You will need to multiply it.

There is   a 4 so its 4 times.

-3 x -3 = 9

9 x -3 = -27

-27 x -3 = 81

------

When you multiply a negative number by a negative number it will be a positive.

If you multiply a positive number by a negative it will be negative.

4 0
3 years ago
10. Find the theoretical probability of rolling a number less than 4 on a standard number cube
snow_lady [41]
<h3>Answer:  1/2</h3>

Explanation:

Here's the event space

E = {1,2,3}

this represents all of the desired events we want, which is rolling less than a 4 on a standard number cube (aka a die). There are A = 3 items in this set.

The sample space is the set of all possible outcomes, namely,

S = {1,2,3,4,5,6}

which is all of the values on the die. There are B = 6 items in this set.

Divide the values of A and B to get the theoretical probability:

P(rolling a number less than 4) = A/B = 3/6 = 1/2

6 0
3 years ago
Read 2 more answers
A random sample is selected from a population with mean μ = 102 and standard deviation σ = 10. For which of the sample sizes wou
chubhunter [2.5K]

Answer:

Since we can't assume that the distribution of X is the normal then we need to apply the central limit theorem in order to approximate the \bar X with a normal distribution. And we need to check if n>30 since we need a sample size large as possible to assume this.

\bar X \sim N (\mu ,\frac{\sigma}{\sqrt{n}} )

Based on this rule we can conclude:

a. n = 14 b. n = 19 c. n = 45 d. n = 55 e. n = 110 f. n = 440

Only for c. n = 45 d. n = 55 e. n = 110 f. n = 440 we can ensure that we can apply the normal approximation for the sample mean

for n=14 or n =19 since the sample size is <30 we don't have enough evidence to conclude that the sample mean is normally distributed

Step-by-step explanation:

For this case we know that for a random variable X we have the following parameters given:

\mu = 102, \sigma =10

Since we can't assume that the distribution of X is the normal then we need to apply the central limit theorem in order to approximate the \bar X with a normal distribution. And we need to check if n>30 since we need a sample size large as possible to assume this.

\bar X \sim N (\mu ,\frac{\sigma}{\sqrt{n}} )

Based on this rule we can conclude:

a. n = 14 b. n = 19 c. n = 45 d. n = 55 e. n = 110 f. n = 440

Only for c. n = 45 d. n = 55 e. n = 110 f. n = 440 we can ensure that we can apply the normal approximation for the sample mean

for n=14 or n =19 since the sample size is <30 we don't have enough evidence to conclude that the sample mean is normally distributed

8 0
3 years ago
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