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lidiya [134]
3 years ago
11

NEED HELP ANSWERING ASAP !!

Mathematics
1 answer:
Neporo4naja [7]3 years ago
8 0

Answer:

sorry  can you write it down and take a pic of it

please that is the only way i can answer it

Step-by-step explanation:

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Four different lines are drawn on a coordinate plane. The lines all pass through the origin each each line passes through one po
Cloud [144]

Answer:

it's C

Step-by-step explanation:

5 0
3 years ago
Can someone please help me it's worth five points
Brilliant_brown [7]

The formula of a volume of a cone:

V=\dfrac{1}{3}Bh=\dfrac{1}{3}\pi r^2h

We have:

r=12cm,\ h=8cm

Substitute:

V=\dfrac{1}{3}\pi\cdot12^2\cdot8=\dfrac{1}{3}\pi\cdot144\cdot8=\pi\cdot48\cdot8=384\pi\ cm^2\approx384\cdot3.14=1205.76\ cm^3\approx1206\ cm^3

Answer: 1206 cm³

7 0
3 years ago
Given the following linear functions, determine their relationship:
Talja [164]

Answer:

Neither i think

Step-by-step explanation:

7 0
3 years ago
According to a study conducted by an​ organization, the proportion of americans who were afraid to fly in 2006 was 0. 10. A rand
algol13

According to the the concept of hypothesis testing, there is no evidence that the proportion of Americans who are afraid to fly has decreased.

Hypothesis testing:

Basically, in math hypothesis, it test the population on the basis of the sample data taken from the population using a simple random sampling.

Given,

According to a study conducted by an​ organization, the proportion of Americans who were afraid to fly in 2006 was 0. 10. A random sample of 1300  Americans results in 117 indicating that they are afraid to fly.

Now, we need to explain why this is not necessarily evidence that the proportion of Americans who are afraid to fly has.

While we looking into the given question,

Sample size, n = 1300

Number of Americans who were afraid to fly, x = 117

Now, we have to computing the sample proportion of Americans who afraid to fly,

Therefore, p = 117 / 1300 = 0.09

Then the Formulation of Hypotheses is written as,

Here the Null Hypothesis: H0: p≥0.10

And the alternative Hypothesis: Ha: p<0.10

Then the Left-tailed test of Test statistic is written as,

Here Let us assume that the level of significance, α = 0.05.

Then the Critical value, z≈−1.645

And the Decision rule is written as

If the value of  |z|<|z0.05|≈1.645: Do not reject the null hypothesis.

Otherwise If value of  |z|≥|z0.05|≈1.645: Reject the null hypothesis.

To know more about Hypothesis testing here.

brainly.com/question/28920252

#SPJ4

5 0
1 year ago
The chi-square test statistic is χ2 = 18.68 and the P-value is between 0.0025 and 0.005. What conclusion should the researcher m
diamong [38]

We don't know what the exact p-value is, but we are told that it's as large as 0.005 which is smaller than alpha = 0.05

Since the p-value is smaller than alpha, this means we <u>reject the null hypothesis</u>.

The way you can remember this is "if the p-value is low, then the null must go". By "low", I mean "smaller than alpha".

Recall that the p-value is the probability of observing that specific test statistic, or larger. So the chances of chi-squared being 18.68 or larger is a probability between 0.0025 and 0.005; there's a very small chance of this happening. The p-value is based entirely on the assumption that the null is correct. But if the null is correct, then the chances of landing on this are very small. We have a contradiction that basically leads to us concluding the null must not be the case. It's not 100% guaranteed of course, but it's fairly strong evidence.

In short, the p-value being smaller than alpha = 0.05 means we reject the null.

In order to accept the null, the p-value must be 0.05 or larger.

5 0
3 years ago
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