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Mkey [24]
3 years ago
13

4. A cyclist’s reaction time to visual stimulus is normally distributed with a mean of 0.4 seconds and a standard deviation of 0

.05 seconds. [15] (a) What is the probability that a reaction requires more than 0.6 seconds? (b) What is the probability that a reaction requires between 0.4 and 0.5 seconds?
Mathematics
1 answer:
denis-greek [22]3 years ago
8 0

shush subscribe to aj shabeel

Answer:

Step-by-step explanation:

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13. Solve for s. 2(s + 7) = 12
Tatiana [17]
2s+14=12
2s=-14+12
2s=-2
s=-2÷2
s=-1
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3 years ago
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Maddie has 4 cups of maple syrup. She uses 1/3 of the syrup to make maple candies. Then, she uses 2/3 of a cup of syrup to make
Reptile [31]

Answer:

3 cups

Step-by-step explanation:

1/3 + 2/3 = 1 cup so you would subract 1 from 4 which is 3

hope this helps:)

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3kg a hit with a force of 9 Newton’s
Anna [14]

Step-by-step explanation:

(3000N) F–D = m a2. D= F–m a2. = 3000N– 1200kg × 0.75 m s-z.

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3 years ago
Find the hypotenuse of a right triangle if side a=3 and side b=4​
Slav-nsk [51]

Answer:

5 units

Step-by-step explanation:

By Pythagoras theorem:

(hypotenuse)^2 = a^2+ b^2\\\therefore hypotenuse = \sqrt{a^2+ b^2} \\\therefore hypotenuse = \sqrt{3^2+ 4^2} \\\therefore hypotenuse = \sqrt{9+ 16} \\\therefore hypotenuse = \sqrt{25} \\\therefore hypotenuse = 5\: units

4 0
3 years ago
A researcher is planning to compare the effects of two different types of lights on the growth of bean plants. She expects that
kicyunya [14]

Answer:

The sample size is  n  = 36

Step-by-step explanation:

From the question we are told that

   The sample standard deviation is  s =  1.5

  The mean difference of the two groups is  \=x _ 1 - \=x_2 =  1

   The standard error is  SE =  \frac{ \= x_1 - \= x_2}{4}

=>                                      SE =  \frac{1}{4}

Let assume that the confidence level is 95% hence the level of significance is  

   \alpha = (100-95)\%

=> \alpha = 0.05

So the critical value of  \frac{\alpha }{2} obtained from the normal distribution table is

     Z_{\frac{\alpha }{2} } = 1.96

Generally the margin of error is mathematically evaluated as

     E =  Z_{\frac{\alpha }{2} } * SE    

   E =  1.96 * \frac{1}{4}

    E = 0.49

Generally the sample size is mathematically represented as

  n =[ \frac{Z_{\frac{\alpha }{2}  * s^2}}{E}]^2

=> n  = [\frac{1.96 * 1.5}{0.49} ]^2

=> n  = 36

6 0
3 years ago
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