Which list shows the runners in order by their completion times from fastest to slowest

Help with question thx so much

muminat

The mean price is much less than the median price

4 0

3 years ago

What does all loans are not equal mean ?

mr Goodwill [35]

Answer:

This means that there are many different types of loans, example a car loan , student loan and a mortgage loan are three different types of loans. SUDENT LOANS ARE EDUCATIONAL IN WHICH SOMETIMES CAN BE DEFERRED, MORTGAGE LOANS ARE FOR YOUR HOMES AND A CAR LOAN IF ITS NOT PAID OU RISK THE CHANCE AT IT BEING TAKEN.

Step-by-step explanation:

8 0

2 years ago

LenKa [72]

I did my math and I think 41 minuets but are u adding or subracting

8 0

3 years ago

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Salmon Weights: Assume that the weights of spawning Chinook salmon in the Columbia river are normally distributed. You randomly

Hitman42 [59]

Answer:

a) $\bar X= 19.2$ represent the sample mean. And that represent the best estimator for the population mean since $\hat \mu =\bar X=19.2$ b) The 90% confidence interval is given by (17.3;21.1)

c) No, because 18 is above the lower limit of the confidence interval.

d) Because the parent population is assumed to be normally distributed.

The reason of this is because the t distribution is an special case of the normal distribution when the degrees of freedom increase.

Step-by-step explanation:

1) Notation and definitions

n=17 represent the sample size

Part a

$\bar X= 19.2$ represent the sample mean. And that represent the best estimator for the population mean since $\hat \mu =\bar X=19.2$ Part b

$s=4.4$ represent the sample standard deviation

m represent the margin of error

Confidence =90% or 0.90

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

2) Calculate the critical value tc

In order to find the critical value is important to mention that we don't know about the population standard deviation, so on this case we need to use the t distribution. Since our interval is at 90% of confidence, our significance level would be given by $\alpha=1-0.90=0.1$ and $\alpha/2 =0.05$ . The degrees of freedom are given by: