The sample mean for students with a grade point average of 3.0–4.0 is greater than students with grade point average of 2.0 - 3.0, the results tend to
<h3>How to interpret Garret studies?</h3>
From the question, we have the following highlights
- The sample size is large enough
- The sample is at random
- Students who have a grade point average of 3.0 - 4.0 sleep for an average of 6.8 hours
- Students who have a grade point average of 2.0–3.0 sleep for an average of 6.4 hours
- There are no outliers
From the above highlights, the sample mean for students with a grade point average of 3.0–4.0 is greater than students with grade point average of 2.0 - 3.0
This is because 6.8 is greater than 6.4
This means that Garret's theory about the hours of sleep is correct
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Answer:
i really dont know cause i nwed help too
It would be pounds, hope this helps :)
Answer:
p<5
Step-by-step explanation:
9-p/5>8
p/5>9-8
p/5>1
p>1*5
p>5
p<5
Using the normal distribution, the probability that a worker selected at random makes between $500 and $550 is: 2.15%.
<h3>Normal Probability Distribution</h3>
The z-score of a measure X of a normally distributed variable with mean mu and standard deviation sigma is given by:
Z = (X - mu)/sigma
- The z-score measures how many standard deviations the measure is above or below the mean.
- Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
The mean and the standard deviation are given as follows:
mu = 400, sigma = 50
The probability is the <u>p-value of Z when X = 550 subtracted by the p-value of Z when X = 500</u>, hence:
X = 550:
Z = (X - mu)/sigma
Z = (550 - 400)/50
Z = 3
Z = 3 has a p-value of 0.9987.
X = 500:
Z = (X - mu)/sigma
Z = (500 - 400)/50
Z = 2
Z = 2 has a p-value of 0.9772.
0.9987 - 0.9772 = 0.0215 = 2.15% probability.
More can be learned about the normal distribution at brainly.com/question/15181104
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