Solution :
In this case we have to use
for the goodness of fit.
Null hypothesis is :
Data follows the given distribution
Alternate hypothesis is :
Data do not follow the given distribution
The level of significance, 
The test statistics is given by :
Chi square = 
Here O is the observed frequencies
E is the expected frequencies
So we have, N = number of the categories = 4
df = degrees o freedom = N - 1
= 4 - 1 = 3
Critical value = 
Calculating the table for the test statistics are given as :
Category prop. O E 
A 0.2 14 20 1.80
C 0.3 28 30 0.13
M 0.1 6 10 1.60
P 0.4 52 40 3.60
Total 1 100 100 7.13
The test statics = chi square =
= 7.13
statistics = 7.13
P-value = 0.067767248
P -value > 
Therefore, we do not reject the
. There is sufficient evidence to conclude that the data follows the given distribution. So there is sufficient evidence to conclude the given claim is true.
Answer:
I think it’s 1
Step-by-step explanation:
Because it’s a right triangle and it’s equal to 90° So
and 2,3,4 is less than 90 so
Answer: The molds density of the mold is 11:11
Step-by-step explanation:
Answer:
f = -5/3
Step-by-step explanation:
-3/4f = 5/4
Multiply both sides by -4/3.
-3/4f × -4/3 = 5/4 × -4/3
f = -20/12
f = -5/3