Answer:
In miles per hour was 34 mph
Step-by-step explanation:
205/5 = 41
180/4 = 27
to find the average you add both speeds then divide by how many there are.
41 + 27 = 68
68/2 = 34
Answer:
Nancy's ambient locality might be having more suppliers, higher supply of Gasoline
Step-by-step explanation:
National average price of gasoline = $3.14
Stations near Nancy's home have an average price = $2.95
Gasoline price near Nancy's house is lesser than national average price level. Number of gasoline stations near her house might be more. It implies increase in its supply. This leads to competition among sellers & reduces the price level.
An ordinary Regression model that treats the response Y is (a) True False, (w) True
What is Regression?
A statistical method called regression links a dependent variable to one or more independent (explanatory) variables.
A regression model can demonstrate whether changes in one or more of the explanatory variables are related to changes in the dependent variable.
A) Models for numerical response variable, like ANOVA and linear regression are special cases of GLMs
for these model the following holds
1. Random component has a normal distribution
2. Systematic component α+β₁x₁+β₂x₂+...........βₓxₓ
3. link function = identity (g(µ)=µ)
GLMs can generalise these models with response Y as normally distributed, hence the statement is True
B) With a GLM. Y does not need to have a normal distribution and one can model a function of the mean of Y instead of just the mean itself. but in order to get ML estimates the variance of Y must be small. This small variance of Y is the reason for ML estimator to be the best one. hence the statement is false.
An ordinary Regression model that treats the response Y is (a) True False, (w) True
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Answer: f(3)=10
Step-by-step explanation:
In order to calculate f(3) you need to substitute 3 for x in function
f(x)=3x +1 :
f(3)=( 3x3) + 1
f(3)= 9+1
f(3)=10
Completed question:
An initial time study resulted in an average observed time of 2.2 minutes per cycle, and a standard deviation of .3 minutes per cycle. The performance rating was 1.20. What sample size, including the 20 observations in the initial study, would be necessary to have a confidence of 95.44 percent that the observed time was within 4 percent of the true value?
Answer:
47
Step-by-step explanation:
When doing a statistic study, a sample of the total amount must be taken. This sample must be done randomly, and, to be successful, the sample size (n) must be determined, by:
Where Z(α/2) is the value of the standard normal variable associated with the confidence, S is the standard deviation, and E is the precision. The confidence indicates if the study would have the same result if it would be done several times. For a confidence of 95.44, Z(α/2) = 2.
The standard deviation indicates how much of the products deviate from the ideal value, and the precision indicates how much the result can deviate from the ideal. So, if it may vary 4% of the true value (2.2), thus E = 0.04*2.2 = 0.088.
n = [(2*0.3)/0.088]²
n = 46.48
n = 47 observations.