A B 1 2 26 3 23 4 32 5 47 6 45 7 31 8 47 9 59 10 21 11 52 12 45 13 53 14 34 15 45 16 39 17 52 18 52 19 22 20 22 21 33 22 21 23 34 24 42 25 30 26 28 27 Units C Hypothesis Test about a Population Mean D Sample Size =COUNT(A:A) Sample Mean AVERAGE(A:A) Sample Standard Deviation -STDEV.S(A:A) Hypothesized Value 40 Standard Error =D6/SQRT(D4) Test Statistic =(D5-D8)/D10 Degrees of Freedom -D4-1 p-value (Lower Tail) -T.DIST(D11,D12, TRUE) p-value (Upper Tail) =1-D14 p-value (Two Tail) =2*MIN(D14,D15)
A B 1 2 26 3 23 4 32 5 47 6 45 7 31 8 47 9 59 10 21 11 52 12 45 13 53 14 34 15 45 16 39 17 52 18 52 19 22 20 22 21 33 22 21 23 34 24 42 25 30 26 28 27 Units C Hypothesis Test about a Population Mean D Sample Size =COUNT(A:A) Sample Mean AVERAGE(A:A) Sample Standard Deviation -STDEV.S(A:A) Hypothesized Value 40 Standard Error =D6/SQRT(D4) Test Statistic =(D5-D8)/D10 Degrees of Freedom -D4-1 p-value (Lower Tail) -T.DIST(D11,D12, TRUE) p-value (Upper Tail) =1-D14 p-value (Two Tail) =2*MIN(D14,D15)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
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Transcribed Image Text:A B
1
2 26
3 23
4 32
5
47
6 45
7
31
8 47
9 59
10 21
11 52
12 45
13 53
14 34
15 45
16 39
17 52
18 52
19 22
20 22
21 33
22 21
23 34
24 42
25 30
26 28
27
Units
C
Hypothesis Test about a Population Mean
Sample Size =COUNT(A:A)
Sample Mean AVERAGE(A:A)
Sample Standard Deviation -STDEV.S(A:A)
Hypothesized Value 40
D
Standard Error =D6/SQRT(D4)
Test Statistic t =(D5-D8)/D10
Degrees of Freedom =D4-1
p-value (Lower Tail) =T.DIST(D11,D12, TRUE)
p-value (Upper Tail) =1-D14
p-value (Two Tail) =2*MIN(D14,D15)
Transcribed Image Text:7. Suppose we now want to conduct hypothesis tests to see if the population mean order
size is different than what we think it is. Use the orders-test holiday toys data set as
before. Now we are going to use the template provided in the data set. Let's assume
that we think if the average order size has changed it will be different from than 40. This
is our alternative hypothesis (Ha). Also, let's say that we would like a probability of Type
I error to be alpha = .01
Ho:
Ha Mu # 40
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