Title | BS - Mid-term 1-25 - Mid-term 1 formula |
---|---|
Author | Truc, Pham |
Course | Introduction to Statistics |
Institution | Vancouver Community College |
Pages | 3 |
File Size | 258.1 KB |
File Type | |
Total Downloads | 80 |
Total Views | 148 |
Mid-term 1 formula...
Mid-term 1-25
MGMT 1009: Business Statistic Mid-term part 1
1
Probability with greater than A populationhas a mean of 400 and a standard deviation of 25. A sample of 100 observations will be taken. The probability that the sample meanwill be larger than 405 is
n/N ≤ 0.05 P (z ≥ max.z)
Infinite population
Ex = μ
400 25 100
𝜎 n σ =
σ n
2.50
max. z (+) max
405 5.00
max. z = (+)/σ
2.00
P (z ≥ max.z) z in right hand side
#DIV/0!
0.00 #DIV/0!
Max z
#DIV/0!
0.00
0.00
#DIV/0!
#DIV/0!
Std Normal distribution = 1 - Std norm 0.9772 0.0228 #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0!
1
2.00 #DIV/0! #DIV/0! #DIV/0!
2
#DIV/0!
Min. Std norm
1 1 1 1
Scatter
Dependent variable y
Independent Variable x 1 2 3 4 5
Dependent variable y 5 4 3 2 1
6 5 4 3 2 1 0 0
1
2
3
4
5
22 Independent Variable x 1 2 3 4 5 10
Dependent variable y 5 4 3 2 1 -4
Chart Title 6 5 4 3 2 1 0 -1 0
2
4
6
8
10
-2 -3 -4 -5
4
x? A professor at a local university noted that the exam grades of her students wer normally distributed witha mean of 73 and a standard deviation of 11. If 69.5 percent of the students received grades of C or better, what is the minimum score of those who received C's x? P(z ≥ x-μ/σ)
Z table
5
a b c
μ = mean σ = Std.Dev P(z) P(x-μ/σ) = 1 - P(z)
73.00 11.00 69.5% 0.3050
1.0000
1.0000
z = x-μ/σ x
-0.510 67.39
#NUM! #NUM!
#NUM! #NUM!
Probability no more than Probability of having sales of no more than $60,000 i Daily Sales (In $1,000s) $ 40.00 $ 50.00 $ 60.00 $ 70.00 Sum f(x) = a+b+c
Probability f(x) 0.1 0.4 0.3 0.2 0.8
Page 1 of 3
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6
Mid-term 1-25
10
Regresion analysis Regression analysis was applied between sales (in $1000s) and advertising (in $100s), and the - Brainly.co Regression analysis was applied between sales (in $1,000s) and advertising (in $100s and the following regression function was obtainedŷ = 500 + 4x and the following regression function was obtainedŷ = 80 + 6.2x Based on the above estimated regression line, if advertising is $10,000, then the point estimate for sales (in dollars) is __
ads
sales
15
given x advertising advertising x value
$ $ $
10,000.00 100.00 100.00
#DIV/0!
#DIV/0!
y= sales ŷ = 80 + 6.2x y sales value
$ $ $
1,000.00 700.00 700,000.00
#DIV/0! #DIV/0!
#DIV/0! #DIV/0!
A regression analysis between sales(in $1000) and price (in dollars) resulted in the following equatio ŷ = 50000 - 8x Question 14 A regression analysis between sales (Yin $1,000) and advertising (X in dollars) resulted in... - HomeworkL
y (x+1) = 50,00 - 8(x+1) y (x+1) = 50,00 - 8x - 8 = y(x) - 8
given x price y(x) - 8 y= sales y sales value
11
$ $ $ $
1.00 -8.00 1,000.00 -8,000.00
$
-
$
-
Probability P between w/o n The starting salaries of individuals with an MBA degree are normally distributed with mean of $40.000 and a standard deviation of $5,000 What percentage of MBA'swill have starting salaries of $34.000 to $46,000?
16
The time it takes to travel from home to the office is normally distributed with μ= 25 minutes and σ= 5 minut What is theprobability the trip takes between 20 and 30 minute?
μ Standard deviation 𝜎 x1 x2
𝑧 =
𝑧 =
$ $ $ $
11 40,000.00 5,000.00 34,000.00 46,000.00
16 25 5 20 30
-1.2
-1
𝑥 − 𝜇 𝛿 𝑥 − 𝜇 𝛿
P(z...