Jane likes to exercise daily. The table shows the number of calories y she burns by exercising steadily for x minutes. How many
calories would she burn by exercising for 29 minutes?
2 answers:
Answer:
<h2>319 cal/min.</h2>Step-by-step explanation:
The table is attached.
You can observe in the table that there's no a value for 29 minutes.
That means we need to find the linear expression and then calculate the answer.
First, we need to find the ratio of change using two pairs of the given table and the following formula, (20,220) and (40,440) are the points
The ratio of change states that Jane burns 11 calories per minute. So, after 29 minutes, she will burn
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Answer:
Step-by-step explanation:
Hello!
For me, the first step to any statistics exercise is to determine what is the variable of interest and it's distribution.
In this example the variable is:
X: height of a college student. (cm)
There is no information about the variable distribution. To estimate the population mean you need a variable with at least a normal distribution since the mean is a parameter of it.
The option you have is to apply the Central Limit Theorem.
The central limit theorem states that if you have a population with probability function f(X;μ,δ²) from which a random sample of size n is selected. Then the distribution of the sample mean tends to the normal distribution with mean μ and variance δ²/n when the sample size tends to infinity.
As a rule, a sample of size greater than or equal to 30 is considered sufficient to apply the theorem and use the approximation.
The sample size in this exercise is n=50 so we can apply the theorem and approximate the distribution of the sample mean to normal:
X[bar]~~N(μ;σ2/n)
Thanks to this approximation you can use an approximation of the standard normal to calculate the confidence interval:
98% CI
1 - α: 0.98
⇒α: 0.02
α/2: 0.01
X[bar] ±
174.5 ±
[172.22; 176.78]
With a confidence level of 98%, you'd expect that the true average height of college students will be contained in the interval [172.22; 176.78].
I hope it helps!