Answer:
The way to answer this question is to find out the price per pound potato by dividing the amount the restaurant chief paid by the number of pounds bought.
Your question lacks details on the pounds bought in the other stores so I will assume these figures and you can use it as a reference.
Restaurant B - 2 pounds
Restaurant C - 12 pounds
Restaurant D - 5 pounds
Price per pound
Restaurant A = 6.60/8
= $0.83
Restaurant B = 3.50/2
= $1.75
Restaurant C = 9.75/12
= $0.82
Restaurant D = 4.80/8
= $0.96
<u><em>Restaurant C </em></u><em>has the lowest price per pound for potatoes. </em>
Hello!
Find the cost of each individual item.
1.28 / 2 = 0.64
Each roll of tape costs $0.64.
0.87 / 3 = 0.29
Each notebook costs $0.29.
Each highlighter costs $1.59.
1.98 / 2 = 0.99
Each pen costs $0.99.
One roll of tape is $0.64, two notepads are $0.58 two highlighters cost $3.18, two pens are 1.98.
Add them up: .
0.64 + 0.58 + 3.18 + 1.98 = 6.38
ANSWER:
You would pay B. $6.38.
Answer:
50
Step-by-step explanation:
Use pythagoreom theorem to determine the length of the hypotenuse:
a² + b² = c²
- assign side a to 30 and side b to 40
30² + 40² = c²
90 + 160 = c²
250 = c²
Now square root both sides to isolate side c:
√250 = √c²
50 = c
side c = 50
Answer:
Step-by-step explanation:
LOL get some fidgets or a stress ball. they help
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,
H0: µ = 5000
For the alternative hypothesis,
H1: µ > 5000
Since the population standard deviation is given, z score would be determined from the normal distribution table. 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 = 5000
x = 5430
σ = 600
n = 40
z = (5430 - 5000)/(600/√40) = 4.53
Looking at the normal distribution table, the probability corresponding to the z score is < 0.0001
Since alpha, 0.05 > than the p value, then we would reject the null hypothesis. Therefore, at a 5% level of significance, it can be concluded that they walked more than the mean number of 5000 steps per day.
