Regina has enough money to buy all the items she needs
3 cans of dog food = 1.50*3 = 4.50
1 gallon of milk = 4.00*1 = 400
5 pounds of chicken = 1.55*5 = 7.75
1 box of cereal = 2.75*1 = 2.75
6 rolls of paper towels = .99*6 = 5.94
If you add all those together it equals 24.94 leaving 6 cents in change
4.50 + 4.00 + 7.75 + 2.75 + 5.94 = 24.94$
We are given the electricity cost as 5 cents per
kilowatt-hour. We should notice that the cost is actually in the form of:
electrical cost = cost / (power * time)
Therefore to get a number which is in terms of cents
alone (cost alone), therefore we should multiply the given electrical cost
value with the power and time.
Power = 80 watt = 0.08 kilowatt
Time = 24 hours
Therefore the cost is calculated as:
cost = electrical cost * power * time
cost = [5 cents / (kilowatt hour)] (0.08 kilowatt) (24
hour)
cost = 9.6 cents
Answer:
<span>9.6 cents</span>
Answer:
p-value of the statistics = 0.0096
Step-by-step explanation:
Given - The mayor of a town has proposed a plan for the annexation of an adjoining bridge. A political study took a sample of 1500 voters in the town and found that 47% of the residents favored annexation. Using the data, a political strategist wants to test the claim that the percentage of residents who favor annexation is above 44%.
To find - Determine the P-value of the test statistic.
Proof -
Given that,
H0 : p = 0.44
Ha : p > 0.44
Now,
Test Statistics is
z = (p bar - p)/ sqrt(p(1-p)/n)
= (0.47 - 0.44) / sqrt(0.44(1-0.44)/1500)
= 2.34
⇒z = 2.34
So,
p-value = P(Z > z)
= P(Z > 2.34)
= 0.0096
⇒p-value = 0.0096
Answer : 169
Step-by-step explanation:
4(x+19) = 752
4x +76 = 752
4x = 752 - 76
x = 676/4
x=169
Hope this helps ;)
Please mark me the BRAINLIEST
<h2>Answer</h2>
<u>Strong, negative correlation.</u>
<h2>Explanation</h2>
So with correlations, they have two categories that they fall under.
Firstly, they either fall under <u>positive</u> or <u>negative</u> correlation. It's as it seems: positive correlation coefficients are positive numbers, negative correlation coefficients are negative numbers. In this case, our correlation is <u>negative</u>.
Next, they either fall under <u>weak</u> or <u>strong</u> correlation. If the absolute value of the correlation coefficient is closer to zero, then it's considered a weak correlation. However, if the absolute value of the correlation coefficient is closer to one, then it's considered a strong correlation. In this case, the absolute value of -0.91 is 0.91, and since that is closer to 1 this means our correlation is <u>strong</u>.
