Answer:
The right answer is "0.70".
Step-by-step explanation:
The given query seems to be incomplete. Please find below the attachment of the full query.
By using the Bayes' theorem, we get
⇒ 
By putting the values, we get
![=\frac{[P(2)+P(3)]}{[1-P(0)-P(1)]}](https://tex.z-dn.net/?f=%3D%5Cfrac%7B%5BP%282%29%2BP%283%29%5D%7D%7B%5B1-P%280%29-P%281%29%5D%7D)



You have to multiply 75 x 45 which is 3,375. Then, you subtract 24,580 - 3,375 which is 21,205. Hope this helped. :)
Answer:
a: z = -1.936
b: 0.0265
d: z < -1.645
Reject H0 if z < -1.645
Step-by-step explanation:
We are given:
H0: µ = 20
HA: µ < 20
n = 60, sample mean: 19.6, σ = 1.6
Since the alternate hypothesis has a < sign in it, it is a left tailed test. The < or > sign in the alternate hypothesis points towards the rejection region.
For a: We need to calculate the test statistic for our situation. This is done with a z-score formula for samples.
For b: we need to use the z-score table to look up the p-value for the score we calculate in part a. The p-value is 0.0265. This means that there is only about a 2.65% chance that the sample values were a result of random chance.
For d: Since the significance level is 0.05, and this is a one tailed test, we have a critical value of z < - 1.645. This means that if the z-score we calculate in part a is less than -1.645, we will reject the null hypothesis
See attached photo for all the calculations!
Answer:
The additive property of 0; any number added with 0 is going to be that number.
Step-by-step explanation:
Answer:
a) 1
1
+
1
b)1
3
+
1
8
Step-by-step explanation: