<u>Solution and Explanation:</u>
a) 51% of users of mobile phones use their phone at least once per hour,
It is a binomial distribution with n = 150, p = 0.51
mean = np = 150 multiply with 0.51 = 76.5
SD= sqrt(np(1-p) )= 6.1225
Since np and n(1-p) > 5, we can assume the distribution is normal.
B) please see the attached file.
c) It is a binomial distribution with n = 150, p = 0.02
mean = np = 150*0.02 = 3
SD= sqrt(np(1-p) )= 1.71464
Since np < 5, we cannot assume the distribution is normal.
Answer:
Supervised and Unsupervised Learning:
a. Unsupervised learning
b. Supervised learning
3. Supervised learning
4. Unsupervised learning
Explanation:
The key difference between supervised machine learning and unsupervised machine learning is that with supervised machine learning there is a training dataset (labeled data) on which the algorithm is trained to predict patterns. With unsupervised machine learning on the other hand, there is no training data. So, the algorithm discovers patterns on itself without reference to another labeled data or training dataset.
Is there some sort of word bank or something?
Answer:
Expected value of X = -11.09
Explanation:
Expected profit:
= Probability of winning × Amount she wins
= 0.03 × $180
= 5.4
Expected loss:
= Probability of loosing × Amount she paid
= 0.97 × $17
= 16.49
Let X be amount of money Mary wins or loses.
E(X) = Expected profit - Expected loss
= 5.4 - 16.49
= -11.09
Expected value of X = -11.09
That is expected value of loss of $11.09
Answer:
c. $23,160
Explanation:
Adjusted cash balance per books as at August 31
Cash balance per book $19,500
Add Notes receivable and interest collected by bank $4,800
($19,500+$4800) $24,300
Less:(Deposits in transit $900
-NSF check 1,020) ($120)
NSF check (1,020)
Cash balance per books $23,160
