Answer:
Check the explanation
Step-by-step explanation:
a ) let u(1) is the population at a mean rate for the college students who are of the male gender.
u(2) is the population mean for female college students
H0:u(1) = u(2)
Ha:u(1) \neq u(2 )
2 ) using minitab>stat>basic stat>two sample t
we have
Two-Sample T-Test and CI
Sample N Mean StDev SE Mean
1 29 70.50 2.90 0.54
2 30 69.60 3.30 0.60
Difference = μ (1) - μ (2)
Estimate for difference: 0.900
95% CI for difference: (-0.722, 2.522)
T-Test of difference = 0 (vs ≠): T-Value = 1.11 P-Value = 0.271 DF = 57
Both use Pooled StDev = 3.1099
degree of freedom = 57
here p value will be two sided
3 ) using the output
t value = 1.11
p value = 0.271
4 ) since p value is greater than 001 so we will accept the null hypothesis .
we will conclude that average of male and female college basketball players are same
Answer:
David
Bc it said David's parents lol
nice one tho
Answer:
(x+4)^2 + (y+3)^2 = 5^2
Step-by-step explanation:
The equation of a circle is
(x-h)^2 + (y-k)^2 = r^2
now substitute the known values
(x+4)^2 + (y+3)^2 = 5^2
and theres your equation
Answer:
Methods of obtaining a sample of 600 employees from the 4,700 workforce:
Part A: The type of sampling method proposed by the CEO is Convenience Sampling.
Part B: When there are equal number of participants in both campuses, stratification by campus would give a more precise approximation of the proportion of employees who are satisfied with the cleanliness of the breakrooms than stratification by gender. Another method to ensure that stratification by campus gives a more precise approximation of the proportion of employees who are satisfied with the cleanliness of the breakrooms than stratification by gender is to ensure that the sample is proportional to the proportion of each campus to the whole population or workforce.
Step-by-step explanation:
A Convenience Sampling technique is a non-probability (non-random) sampling method and the participants are selected based on availability (early attendees). The early attendees might be different from the late attendees in characteristics such as age, sex, etc. Therefore, sampling biases are present. All non-probability sampling methods are prone to volunteer bias.
Stratified sampling is more accurate and representative of the population. It reduces sampling bias. The difficulty arises in choosing the characteristic to stratify by.
Answer:
Step-by-step explanation:
Compare the equation with y = mx + b where m is slope and b is y intercept
y = (5/4)x - (7/4)
Slope = m = 5/4
