Answer:
False.
Step-by-step explanation:
This is NOT an example of a binomial random variable, because a binomial random variable can only have TWO possible outcomes: success or failure. In the case of rolling a die, there are SIX possible outcomes: 1, 2, 3, 4, 5, or 6.
So, rolling a 6-sided die and counting the number of each outcome that occurs is NOT a binomial random variable.
Hope this helps!
Answer:
y = 7.8x + 26
Step-by-step explanation:
Given the following :
Pearson's r = 0.78
Average consumption of ice cream = 5 grams per week (m) with Standard deviation (sd) = 1.5 grams
Average weight = 65 kg with standard deviation of 15kg
Formular for the regression line :
General regression formula :
y = mx + c
y = predicted variable ; m = slope or gradient ; x = predictor variable ; c = intercept
Gradient (m) = change in y / change in x
m = (sd y / sd x) * r
m = (sd weight / sd ice cream) × r
m = (15 / 1.5) × r
m = 10 × 0.78 = 7.8
Intercept:
mean of weight(y) - [Slope×mean of icecream(x)]
65 - [7.8 × 5]
65 - 39 = 26
Hence,
y = 7.8x + 26
Answer:
I don't know I don't know I don't know
Answer:
Therefore Mason would be expected to win 50 times.
Step-by-step explanation:
i) probability of flipping a head for a fair coin is 
ii) probability of flipping two fair coins is = 
iii) Therefore if Mason plays 200 times he would be expected to win
= 
Answer:
$300
Step-by-step explanation:
1 month =4 weeks
1 week=22 hrs
2 week= 25 hrs
3 week = 14 hrs
4 week = 19 hrs
Total of hrs in the month is 80 hrs
80 hrs = $960
25 hrs = ?
960×25÷80=300
Answer =$ 300
