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
You might be interested in
Answer:
The significance level is and since we are conducting a right tailed test we need to find a critical value who accumulate 0.01 of the area in the right of the normal standard distribution and we got:
So we reject the null hypothesis is
Step-by-step explanation:
For this case we define the random variable X as the number of entry-level swimmers and we are interested about the true population mean for this variable . On specific we want to test this:
Null hypothesis:
Alternative hypothesis:
And the statistic is given by:
The significance level is and since we are conducting a right tailed test we need to find a critical value who accumulate 0.01 of the area in the right of the normal standard distribution and we got:
So we reject the null hypothesis is