To solve for the confidence interval for the population
mean mu, we can use the formula:
Confidence interval = x ± z * s / sqrt (n)
where x is the sample mean, s is the standard deviation,
and n is the sample size
At 95% confidence level, the value of z is equivalent to:
z = 1.96
Therefore substituting the given values into the
equation:
Confidence interval = 3 ± 1.96 * 5.8 / sqrt (51)
Confidence interval = 3 ± 1.59
Confidence interval = 1.41, 4.59
Therefore the population mean mu has an approximate range
or confidence interval from 1.41 kg to 4.59 kg.
Answer:
its 2
The general rate of change can be found by using the difference quotient formula. To find the average rate of change over an interval, enter a function with an interval
Answer:
-13/30
Step-by-step explanation:
I used KCC. It is a method when you<u> keep you 1st # the same</u>, <u>change subtraction to addition</u> and then <u>change the last # to its opposite.</u> So after KCC, the equation would be -7/10 + 4/15
Answer:
0.03125
Step-by-step explanation:
If we have a fair coin the probability of landing a head is 50%.
We can think the question as what is the probability of landing four tails and then a head. That is we needed at least 5 tries to get a head.
Since this events are independent we can write it as
