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Iteru [2.4K]
3 years ago
15

I'll mark brainiest....

Mathematics
1 answer:
MrRissso [65]3 years ago
7 0

I believe it is d because they are proportional to each other

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Timmy is on a 2100 mile trip across the country. Over the last 12 hours of driving Timmy has traveled 720 miles. If he continues
kondor19780726 [428]

Answer:

23 hours

Step-by-step explanation:

So here we are trying to calculate Time which is Distance divided by Speed

Time = \frac{Distance}{Speed}

Firstly, we have to calculate the Speed which is = \frac{720}{12} = 60

This means that the speed is 60 miles per hour or 60 mph.

Then to find the total time we take the Distance and divide it by the Speed:

\frac{2100}{60} = 35

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4 0
3 years ago
A team averaging 110 points is likely to do very well during the regular season. The coach of your team has hypothesized that yo
aev [14]

Answer:

1. M=108

2. μ=110

3. In the explanation.

4. Test statistic t = -1.05

5. P-value = 0.1597

Step-by-step explanation:

The question is incomplete: to solve this problem, we need the sample information: size, mean and standard deviation.

We will assume a sample size of 10 matches, a sample mean of 108 points and a sample standard deviation of 6 points.

1. The mean points is the sample points and has a value of 108 points.

2. The null hypothesis is H0: μ=110, meaning that the mean score is not significantly less from 110 points.

3. This is a hypothesis test for the population mean.

The claim is that the mean score is significantly less than 110.

Then, the null and alternative hypothesis are:

H_0: \mu=110\\\\H_a:\mu< 110

The significance level is 0.05.

The sample has a size n=10.

The sample mean is M=108.

As the standard deviation of the population is not known, we estimate it with the sample standard deviation, that has a value of s=6.

The estimated standard error of the mean is computed using the formula:

s_M=\dfrac{s}{\sqrt{n}}=\dfrac{6}{\sqrt{10}}=1.9

4. Then, we can calculate the t-statistic as:

t=\dfrac{M-\mu}{s/\sqrt{n}}=\dfrac{108-110}{1.9}=\dfrac{-2}{1.9}=-1.05

The degrees of freedom for this sample size are:

df=n-1=10-1=9

5. This test is a left-tailed test, with 9 degrees of freedom and t=-1.05, so the P-value for this test is calculated as (using a t-table):

\text{P-value}=P(t

As the P-value (0.1597) is bigger than the significance level (0.05), the effect is  not significant.

The null hypothesis failed to be rejected.

There is not enough evidence to support the claim that the mean score is significantly less than 110.

7 0
3 years ago
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