Answer:
<h2>-13 - (-23) = -13 + 23</h2>
Step-by-step explanation:
(-)(-) = (+)
(+)(-) = (-)(+) = (-)
(+)(+) = (+)
We have -(-23) = (-)(-)23 = +23 = 23
The experimental probability is
(number of times it stopped over Sect. 2) / (total number of times you tried it)
Number of times it stopped in Section-2: 36
Total number of times you tried it: (20 + 36 + 24) = 80
Experimental probability of Section-2 = 36/80 = 9/20 = 45%
3. my answer I got was 6.53. I think it rounds to 7
Answer:
Step-by-step explanation:
We would set up the hypothesis test. This is a test of a single population mean since we are dealing with mean
For the null hypothesis,
µ = 100g
For the alternative hypothesis,
µ < 100g
Due to the <, It means that it is left tailed test.
Since the number of samples is large, the population standard deviation is given, the z test would be used. The formula is
z = (x - µ)/(σ/√n)
Where
x = sample mean
µ = population mean
σ = population standard deviation
n = number of samples
From the information given,
µ = 100g
x = 99 g
σ = 1g
n = 30
z = (99 - 100)/(1/√30) = - 5.48
Looking at the normal distribution table, the probability corresponding to the z score is less than 0.00001
P value < 0.00001
Answer:
They are all in slope and intercept form already
Step-by-step explanation: