Answer:
Tessa receives £60
Step-by-step explanation:
The ratio is 5:3 so 5+3=8 which is then what you use to divide 96
96/8=12
12x5(the 5 comes from the ratio for Tess) is 60 therefore she receives £60
Answer:
(19229.11 ,20770.89)
Step-by-step explanation:
We are given the following information:
Sample size, n = 17
Sample mean = 20,000 pounds
Sample standard deviation = 1,500 pounds
Confidence level = 95%
Significance level = 5% = 0.05
95% Confidence interval:
Putting the values, we get,
Answer:
La familia de Gonzalo ha despilfarrado 15,768 litros de agua.
Step-by-step explanation:
Dado que Gonzalo observa que el grifo del lavabo gotea luego de un año, y el goteo se produce una velocidad de una gota por segundo y cada gota contiene 0.5ml de agua, para determinar cuántos litros de agua ha despilfarrado la familia de Gonzalo desde que ellos se dieron cuenta de la avería se debe realizar el siguiente cálculo:
1 año = 365 dias x 24 horas x 60 minutos x 60 segundos
0.5 x 60 x 60 x 24 x 365 = X
30 x 60 x 24 x 365 = X
1800 x 24 x 365 = X
43,200 x 365 = X
15,768,000 = X
15,768,000 / 1000 = X
15,768 = X
Por lo tanto, la familia de Gonzalo ha despilfarrado 15,768 litros de agua.
Answer:
Fourth and fifth ones are right
Step-by-step explanation:
First of all, you need to come to an understanding of what you mean by "compare that score to the population." Often, that will mean determining the percentile rank of the score.
To determine the percentile rank of a raw score, you first nomalize it by determining the number of standard deviations it lies from the mean. That is, you subtract the population mean and divide that difference by the population standard deviation. Now, you have what is referred to as a "z-score".
Using a table of standard normal probability functions (or an equivalent calculator or app), you look up the cumulative distribution value corresponding to the z-score you have. This number between 0 and 1 (0% and 100%) will be the percentile rank of the score, the fraction of the population that has raw scores below the raw score you started with.