Answer:
1. Write It Out:
Jay 4: Hena 3 : Sally 6
Jay is 24 years old.
2. Solve
So first you find 24/4 to get 6. This means Jays age was divided by 6 to get his ratio number. Showing that Hena's and Sally's is divided by 6 as well to get there ratios. Now what you need to do is mulitipy Hena and Sallys ratio by six to find there age's.
Hena: 3x6= 18 years old
Sally: 6x6= 36 years old
(Jay: 4x6= 24 years old)
Now to find there total age add them up...
18+36+24= 78
A. Sally is 36
B. 78
This question is incomplete because it was a details in the question was not written correctly.
Complete Question:
A sundae requires 2 ice-cream scoops and 4 raspberries, and a milkshake requires 3 ice-cream scoops and 5 raspberries. Laila wants to sell sundaes and milkshakes with at most 80 ice-cream scoops and 150 raspberries. Let S denote the number of sundaes she makes and M the number of milkshakes she makes. Write an inequality that represents the condition based on the number of (ICE-CREAM SCOOPS).
Answer:
An inequality that represents the condition based on the number of (ICE-CREAM SCOOPS) is given as:
2S + 3M ≤ 80
Step-by-step explanation:
From the above question, we are told that:
Let S denote the number of sundaes Laila makes
M the number of milkshakes
a) A sundae requires 2 ice-cream scoops and 4 raspberries
A sundae = 2S and 4S
b) A milkshake requires 3 ice-cream scoops and 5 raspberries.
A milk shake = 3M and 5M
Laila wants to sell sundaes and milkshakes with at most 80 ice-cream scoops and 150 raspberries .
Therefore, an inequality that represents the condition based on the number of (ICE-CREAM SCOOPS) is given as:
2 ice cream scoops + 3 ice cream scoops ≤ 80
2S + 3M ≤ 80
Answer:
A. unbiased estimator.
Step-by-step explanation:
In Statistics, an estimator is a statistical value which is used to estimate a parameter. Parameters are the determinants of the probability distribution. Therefore, to determine a normal distribution we would use the parameters, mean and variance of the population.
A function of random variables used to estimate a parameter of a distribution is an unbiased estimator.
An unbiased estimator is one in which the difference between the estimator and the population parameter grows smaller as the sample size grows larger. This simply means that, an unbiased estimator captures the true population value of the parameter on average, this is because the mean of its sampling distribution is the truth.
Also, we know that the bias of an estimator (b) that estimates a parameter (p) is given by;
Hence, an unbiased estimator is an estimator that has an expected value that is equal to the parameter i.e the value of its bias is equal to zero (0).
<em>Generally, in statistical analysis, sample mean is an unbiased estimator of the population mean while the sample variance is an unbiased estimator of the population variance.</em>
Answer:
6.6
Step-by-step explanation:
Answer:
12
Step-by-step explanation:
t x 5 = 60
60/5 = 12