Answer:
It is 13.56
Step-by-step explanation:
You would have to divide 40.68 by 3. 3 goes 1 time into 4 so it is 10.
Answer:
p value = 0.039
t = - 2.169
Step-by-step explanation:
Applying the null and alternate hypothesis

using excel worksheet to calculate for ( t and p )
t = -2.169
p = 0.039
from the results obtained
The conclusion is affected by the significance level because : 0.1 < p > 0.01
so when the significance level is = 0.1 the Null hypothesis is rejected and we can say the mean time interval will change while
if the significance level = 0.01 the Null hypothesis is accepted and we can not say the mean time interval has changed because the p -value is greater than 0.01
attached is the excel solution
Outcome Red Blue Green Yellow
Frequency 10 5 13 7 total: 35 trials
experimental probability of Yellow: 7/35 =1/5 or 20%
experimental probability of Blue or Red: 5/35 + 10/35 = 15/35 = 3/7 or 42.86%
The sample is biased. This is because all he interviewed are employees of the company. They are more inclined to give a positive feedback regardless of their true opinion because they want to retain their jobs.
Y=-X+4 finding the y intercept, b and slope, mx thus y=mx+b
(this shows the percent of people that would work over time on a regular basis out of the 30 people) 12/30= (40%) of the 30 said they would work overtime.
200×.4=80 employees of the 200 would have probably have said they would work overtime.