The measured weights of 1,000 men in a certain village follow a normal distribution with a mean of 150 pounds and a standard dev
2 answers:
Answer:
<em>About 160 people weigh more than 165 pounds. </em>
Step-by-step explanation:
The measured weights of 1,000 men in a certain village follow a normal distribution with a mean of 150 pounds and a standard deviation of 15 pounds.
We know that,
where,
X = raw score = 165
μ = mean = 150
σ = standard deviation = 15
Putting the values,
Finding the value of probability for z=1, from z score table,
Hence, 84% of total men will weigh less than 165 pounds. So 16% of men will be more than 165 pounds, i.e
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Answer:
Option 2) Null hypothesis: p = 0.078 , Alternate hypothesis: p > 0.078
Step-by-step explanation:
We are given the following in the question:
According to the National Center of Health Statistics, about 7.8% of all babies born in the U.S. are categorized as low birth weight.
Sample size, n = 1200
p = 7.8% = 0.078
We have to carry a hypothesis test whether national percentage is higher than 7.8% or not.
Thus, we can design the null and the alternate hypothesis
Thus, the correct answer is:
Option 2) Null hypothesis: p = 0.078 , Alternate hypothesis: p > 0.078
Answer:
The difference of the means is not significant because the re-randomizations show that it is within the range of what could happen by chance.
Step-by-step explanation:
Given that:
The treatment group using Spray A reported a mean of 3.5 mosquito bites.
The treatment group using Spray B reported a mean of 5.6 mosquito bites.
After the data are re-randomized; the differences of the means are shown in the dot plot. The dot plot is attached in the file below;
The best conclusion that can be make based on the data from the dot plot is :
The difference of the means is not significant because the re-randomizations show that it is within the range of what could happen by chance.
