Answer:
Step-by-step explanation:
We would set up the hypothesis test. This is a test of a single population mean since we are dealing with mean
For the null hypothesis,
µ = 100g
For the alternative hypothesis,
µ < 100g
Due to the <, It means that it is left tailed test.
Since the number of samples is large, the population standard deviation is given, the z test would be used. The formula is
z = (x - µ)/(σ/√n)
Where
x = sample mean
µ = population mean
σ = population standard deviation
n = number of samples
From the information given,
µ = 100g
x = 99 g
σ = 1g
n = 30
z = (99 - 100)/(1/√30) = - 5.48
Looking at the normal distribution table, the probability corresponding to the z score is less than 0.00001
P value < 0.00001
Answer:
She could purchase from stores A, D and E.
Step-by-step explanation:
She needs 8 cups so I multiplied each price by 8;
Store A 0.49(8)=$3.92
Store B 0.51(8)=$4.08
Store C 0.55(8)=$4.40
Store D 0.48(8)=$3.84
Store E 0.45(8)=$3.60
So you just plug in the X value of the number that d represents for example if I plug in 2 for d
7(2)^2+10=38
