Every time the y-value decreases by 1, the x-value increases by 2, so the slope is -1/2 throughout the line.
Answer:
Step-by-step explanation:
In the past, mean of age of employees
i.e. 
Recently sample was taken
n = sample size = 60
Mean of sample = 45
Std dev of sample s = 16

(Right tailed test)
Since only population std deviation is known we can use t test only
Std error = 
Mean difference = 45-40 =5
Test statistic t=
df = 60
p value =0.008739
Since p < 0.05 we reject null hypothesis
The mean age has increased.
Answer:
The answer is -10
Step-by-step explanation:
Answer:
no
Step-by-step explanation:
if he randomly pulls it out it's still the same number of red cards and also the total number of cards as always
can't change