Answer:
, and , where .
Step-by-step explanation:
An exponential growth function that represents exponential decay has , and , where .
Answer: she is incorrect
Step-by-step explanation:
If Emily had a coupon for 20 percent off her purchase, this means that whatever she bought, the total amount would be reduced by 20%. She will be paying 80%
She finds a backpack she likes on the discount rack. It's original price is $60, but everything on the rack comes with a 30 percent discount.
This means that ordinarily,the amount she is meant to pay on the total goods she is buying is 30% lesser than $60. She will be paying
60 - (30/100 ×60)
60 - 0.3×60 = 60-18 = $42
Since she has a 20% coupon on total cost of goods bought, she would be paying
42 - (20/100 ×42)
42 - 0.2×42
= 42 - 8.4 = $33.6
Therefore,
If Emily says, "thirty percent and twenty percent make fifty percent so that her cost will be $30. She is incorrect. Her cost is $33.6
Answer:
she is incorrect.
Step-by-step explanation:
Answer:
x=-1/25
Step-by-step explanation:
-3/5x=15
-3/5x(5x)=15(5x)
-3=75x
75x=-3
x=-3÷75
=-3/75
=-1/25
No or yes if yes then is it a translation or reflection, if no then will it be small or with the size of the pre image be changed?
Answer:
translation, pre-image wouldn't change
Step-by-step explanation:
Answer:
The sample should be as large as 480
Step-by-step explanation:
Probability of having a flu, p = 43/334
p = 0.129
Margin Error, E = 0.03
Confidence Interval, CI= 95%
At a CI of 95%,
The sample size can be given by the relation:
To determine the sample size needed to estimate the population proportion with a desired margin of error, we can use the formula n = (z^2 * p * (1-p)) / (E^2), where n is the required sample size, z is the z-score corresponding to the desired level of confidence, p is the estimated proportion of the population with the characteristic, and E is the desired margin of error. Plugging in the given values, the epidemiologist should take a sample size of approximately 3245 in order to achieve her desired margin of error.
To determine the sample size needed to estimate the population proportion with a desired margin of error, we can use the formula:
n = (z^2 * p * (1-p)) / (E^2)
Where:
Plugging in the given values:
n = (z^2 * p * (1-p)) / (E^2) = (1.96^2 * 0.129 * 0.871) / (0.03^2) ≈ 3244.42
So, the epidemiologist should take a sample size of approximately 3245 in order to achieve her desired margin of error.
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