Answer:
Park is <u>5 miles</u> from Billy's home.
Step-by-step explanation:
Given:
Billy left home at 9 a.m. And rode his bicycle to the park at an average speed of 10 miles per hour here and got the park at 9:30 a.m.
Now, to find the distance from park to Billy,s home.
Time it took Billy to rode his bicycle from park to home is from 9.30 a.m to 9.30 p.m.
So, the time = (9.30 - 9.00) = 30 minutes
Speed = 10 miles per hour.
Now, to get the distance from park to Billy's home we put formula:
Therefore, park is 5 miles from Billy's home.
Answer:
4 miles.
Step-by-step explanation:
We know that Molly travels 20 miles in 5 hours, so we can divide by 5 to find out how many miles she travels in 1.
20/5 = 4/1
Therefore, Molly travels 4 miles per hour.
Answer:
Total discount = $39.50
or 46.47 %
Step-by-step explanation:
First we need to figure out what she will pay for the shoes. She is getting 30 percent off the 65 dollars.
Discount = price * percent off
= 65*.3
= 19.50
The cost of her shoes is the price minus the discount.
Cost = 65- 19.5
= 45.50
To find the total discount, take the original price and subtract the final cost.
Total discount = 85-45.50
= 39.50
To find the total percent discount, we use the formula
total percent discount = (original - final)/original * 100
= (85- 45.50)/85 * 100
= 39.5/85*100
= 46.47%
Answer:
he will have $3623.85 after 3 years.
If the p-value is smaller than the level of significance, then it indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null hypothesis is correct.
In this question,
A p-value is a probability, calculated after running a statistical test on data and it lies between 0 and 1. The p-value only tells you how likely the data you have observed is occurred under the null hypothesis.
One of the most commonly used p-value is 0.05. If the value is greater than 0.05, the null hypothesis is considered to be true. If the calculated p-value turns out to be less than 0.05, the null hypothesis is considered to be false, or nullified (hence the name null hypothesis).
A small p-value (< 0.05 in general) means that the observed results are unusual, assuming that they were due to chance only. Now, the smaller the p-value, the stronger the evidence that should reject the null hypothesis.
Hence we can conclude that if the p-value is smaller than the level of significance, then it indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null hypothesis is correct.
Learn more about p-value here
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