15,677 = 20,000 30,944 = 30,000 87,142 = 90,000 62,763 = 62,000 Ten thousands means 10,000 But if it is something like 10,000 - 14,000 you round down If it is 15,000 - 20,000 you round up so 1-4 round down 5-10 round up
There are 80 chairs in all because 8 rows x 10 chairs per row. The first people fill two rows which is 20 chairs because each row is 10 chairs so 60 chairs are left
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean and standard deviation , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation .
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean and standard deviation
In this question:
Mean of the population is
If a sampling distribution is created using samples of the ages at which 69 children begin reading, what would be the mean of the sampling distribution of sample means?
By the Central Limit Theorem, the same population mean, of 5.9 years.
First, let's get the values of each number by <u>rounding them off to the nearest dollar before adding them</u>.
Remember that you have to <em>round off the number up</em> if it is being followed by a number<em> </em><u><em>equivalent to 5 and above.</em></u><em> </em>You have to <em>retain the number</em> if it is followed by a<u><em> number less than 5</em></u>.
1. $2.69 = $3
2. $14.45 = $14
3. $8.05 = $8
4. $13.95 = $14
Now that you have the rounded off numbers, you may add them.