The result is 0.81 because you must multiply 0.60 by 1.35 to get 0.81. Then divide 0.81 by 0.60.
Answer:


Step-by-step explanation:
Notation
is the sample mean
indicates the population mean (the variable of interest)
s signifies the sample standard deviation
n denotes the sample size
Solution to the problem
The mean's confidence interval is derived from the following formula:
(1)
In this instance, the 9% confidence interval corresponds to:

We can determine the mean using the following:

Additionally, the margin of error can be calculated as:

The margin of error for this situation is expressed as:

Next, we find the standard error:

The critical value for a 95% confidence interval using a normal standard distribution is roughly 1.96, and substituting gives us:

For the 98% confidence interval, the significance corresponds to
and
with a critical value of 2.326, yielding a confidence interval of:


Answer:
75 dollars in coupons.
250 dollars in dividends.
She achieved a profit of 600 - 425 = 175 from her stock investment.
Her complete income sums up to 250 + 75 + 175 = 500.
If all this is taxed at 10%, her tax will be 500 *.1 = 50.
Hi there!
While there are no answer choices provided, here's how you can solve a problem like this.
To find the average of two numbers, you simply sum them up and divide by two!
For instance, to find the midpoint between 1 and 3, you add 1 and 3 to get 4, then divide by 2 which results in 2!
For 100 and 580, adding gives you 680, and dividing by 2 results in 340!
The average between 0.57 and 0.69 involves adding to get 1.26, then dividing by 2 yields 0.63!
Now, with percentages, for 45% and 67%, the addition gives you 112%, and dividing that by 2 will result in 56%!
So, for your answer options, just calculate the total and divide by two to determine which one results in 76%!
I hope this information helps!
Answer:
At least 315
Step-by-step explanation:
A journalist intends to find the average annual salary of CEOs within the S&P 1,500. Due to time constraints, a sample is used.
Standard deviation of the sample (s) = 449300
Sample size = n
Permissible margin of error = 50000
Z critical value = 1.96
Thus, 1.96 times the standard error equals 50000.
Standard error equals 25510.20
Standard deviation divided by the square root of n = 25510.20
By simplifying, we can derive:

Thus, the minimum sample size required is 315.