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NeTakaya
3 years ago
11

A researcher who has used evidence collected from a sample of college students to conclude that average hours of sleep per night

is related to GPA for all college students has engaged in _____ testing.
Mathematics
2 answers:
gtnhenbr [62]3 years ago
6 0

Answer:

Hypothesis Testing

Step-by-step explanation:

According to my research on different experimental designs, I can say that based on the information provided within the question the researcher has engaged in what is known as Hypothesis Testing. This is the process of designing an experiment involving variables to test a certain hypothesis in order to conclude whether it is true of not.

I hope this answered your question. If you have any more questions feel free to ask away at Brainly.

ser-zykov [4K]3 years ago
6 0

✿━━━━@♥ℳg━━━━✿

\boxed{Explained\:Answer}

______________________________

✿━━━━@♥ℳg━━━━✿

Hypothesesis Testing.

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cheryl says that when you add two negative numbers, the sum is always negative. is Cheryl's statement true of false?
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Answer:

wwo

Step-by-step explanation:

5 0
2 years ago
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In science class, the average score on a lab report is 82 points, with all students scoring within 3.2 points of the average. If
nirvana33 [79]

An equation that represents the minimum and maximum scores is; |x - 82| = 3.2.

<h3>How to write an absolute value equation?</h3>

The absolute value function is defined by:

f(x) = x, x ≥ 0.

f(x) = x, x < 0.

It measures the distance of a point x to the origin.

For this problem, the distance between the minimum and the maximum scores and the mean is of 3.2, that is, the difference between these scores x and the mean of 82 is of 3.2, hence the absolute value equation that represents this situation is given by:

|x - 82| = 3.2.

Read more absolute Value equation at; brainly.com/question/5012769

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7 0
1 year ago
a pyramid and a cone are both 10 centimeters tall and have the same volume. What statement must be true about the two solids?
Marat540 [252]
They both have the same radius
3 0
3 years ago
Read 2 more answers
I need this ASAP!!
Free_Kalibri [48]

Answer:

n = 4752 gallons

Step-by-step explanation:

Given

Dilivery: 396 dozen gallon in a day

RequirEd

determine the number of the gallon in a day

we understand that:

n= 396 dozen

unit conversion

1 dozen = 12

so

n = 396 dozen gallon

n = 396× 12

n = 4752 gallons

hence 4752 gallons milk is delivered daily

6 0
2 years ago
Life Expectancies In a study of the life expectancy of people in a certain geographic region, the mean age at death was years an
Sphinxa [80]

Answer:

The probability that the mean life expectancy of the sample is less than X years is the p-value of Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}, in which \mu is the mean life expectancy, \sigma is the standard deviation and n is the size of the sample.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

We have:

Mean \mu, standard deviation \sigma.

Sample of size n:

This means that the z-score is now, by the Central Limit Theorem:

Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

Find the probability that the mean life expectancy will be less than years.

The probability that the mean life expectancy of the sample is less than X years is the p-value of Z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}, in which \mu is the mean life expectancy, \sigma is the standard deviation and n is the size of the sample.

8 0
2 years ago
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