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ivolga24 [154]
3 years ago
14

Patrick wants to estimate the percentage of parents who use cloth diapers. He asks a randomly selected group of 125 parents whet

her or not they use cloth diapers. What is the statistic?
Mathematics
1 answer:
sesenic [268]3 years ago
6 0

Answer:  The percentage of parents who use cloth diapers in the sample is the statistic.

Step-by-step explanation:

  • A statistic is the measure of a particular characteristic in the sample which is nothing but a subset of population.

Here, the concern is to estimate the percentage of parents who use cloth diapers.

He took a sample of 125 parents to enquiry whether or not they use cloth diapers.

So, the percentage of parents who use cloth diapers 9in the sampl is the statistic.

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Arte-miy333 [17]

Answer: $13,846.02

Step-by-step explanation:

The car cost $29,750 when it was first bought.

It will then depreciate at a rate of 12% per year. This means that the value of the car reduces by 12% per year.

To find the value of the car in the 6th year, you can use the compound interest formula:

= Value of car * ( 1 - rate) ^ no. of years

= 29,750 * ( 1 - 12%)⁶

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= $13,846.02

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2 years ago
What is the lowest term of 110/33
andrew11 [14]

Answer:

10/3

Step-by-step explanation:

110/33

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2 years ago
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wel

Answer:

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The following table gives the science scores and times spent studying for 10 students:
AveGali [126]
There appears to be a positive correlation between the number of hour spent studydng and the score on the test.

When identifying the independent and dependent quantities, we think about what would cause the other to change.  The score on the test would not cause the number of hours spent studying to change; rather, the number of hours spent studying would cause the score to change.  This means that the number of hours studying would be the independent quantity and the score would be the dependent quantity.

Plotting the graph with the time studying on the x-axis (independent) and the score on the y-axis (dependent) gives you the graph shown.  You can see in the image that there seems to be a positive correlation; the data seem to generally be heading upward.

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