Confidence Interval and Statistical Tests

Verified

Added on  2023/04/25

|8
|1004
|492
AI Summary
This document covers solved examples of confidence interval and statistical tests including calculating confidence interval for portion of adult female shopper, sample size required, hypothesis testing, and probability calculations.

Contribute Materials

Your contribution can guide someone’s learning journey. Share your documents today.
Document Page
Question 4
n = 277
x = 69
^p= x
n = 69
277 =0.2491
79.6% confidence interval for portion of adult female shopper who request a rain check in such
situation
= ^p ¿ ¿α/2 * ^p(1 ^p)
n )
Zα/2 value of 79.6% confidence level is determined as follows;
The confidence level would be subtracted from 1 and the result divided by two in order to find
the value of alpha level which will be representing the one tail area.
(1 – 0.796)/2 = 0.102
Subtract the result from one, the area is then looked at the middle of the z – table in order to
determine the value of the z score.
1 – 0.102 = 0.898
Checking it at z – table as shown
Z – score = 1.27) as highlighted on the z- table diagram below)

Secure Best Marks with AI Grader

Need help grading? Try our AI Grader for instant feedback on your assignments.
Document Page
= ^p ¿ ¿α/2 * ^p(1 ^p)
n )
= 0.2491 ( 1.27 0.2491(10.2491)
277 ) ¿+ ¿¿ ¿
= 0.2491 0.33002 ¿+¿ ¿ ¿
79.6% CI = (0.2821, 0.2161)
b)
^p= 69
277 =0.2491
q = 1 - ^p = 1 – 0.2491 = 0.7509
Margin error = 0.1/2 = 0.05
For 95% confidence, the value of z will be equivalent to 1.96
Document Page
Size of sample required will be equivalent to
n = pq* ( z score
E )
2
= 0.2491 * 0.7509* ( 1.96
0.05 )2
n = 287.427
n 287 (rounded off to next whole number)
Question 7
P(number 2 or less) = 2 / 6 = 1 / 3
Mean = np = 500 * 1/3 = 166.6667
Standard deviation = (np(1 p))
= ( 5001
3 2/3)
= 10.5409
Using normal approximation.,
P( X x) = P( Z < x+0.5 - mean / SD)
So,
P(X 150) = P( Z ¿150.5 - 166.6667 / 10.5409))
= P (Z -1.5337)
From the z-table shown on the diagram below, the probability will be equivalent to;
Document Page
P(X 150¿= 0.0630
b)
The PDF of normal distribution is = 1
σ 2 πe
( xu )2
2 σ 2
The equation of the normal curve is ( Z )= x - u
sd u ~ N(0,1)
The mean ( u ) = 65
standard Deviation ( sd )= 10

Secure Best Marks with AI Grader

Need help grading? Try our AI Grader for instant feedback on your assignments.
Document Page
i)
P ( Z > x )=0.1
The z value having a probability value of 0.1 from the z – table = 1.2816
p ( xu
s . d > x 65
10 )=0.1
Since, we are supposed to determine score required for an applicant to be in the top 10%.
The probability will be 1 – 0.1 = 0.9
The z value will be determined by interpolation between 1.28 and 1.29 to determine 1.2816
That is, ( x - 65/10) = 1.2816
x = 1.2816 * 10 + 65 = 77.8155
Document Page
ii)
The PDF of normal distribution is = 1
σ 2 πe
( xu )2
2 σ 2
The equation of the normal curve is ( Z )= x - u
sd u ~ N(0,1)
mean of the sampling distribution ( x ) = 65
standard Deviation ( sd )= 10/ Sqrt ( 16 ) =2.5
sample size (n) = 16
P(X > 70) = (70-65)/10/ 16
= 5
2.5 = 2
= P ( Z >2) From Standard Normal Table
= 1-0.9772
Document Page
= 0.0228
Question 8
n = 7, x= x
n = 49.3
7 =7.0429
s.d = 1
n1 ¿ ¿
= 1
6 ¿ ¿ = 0.5028
a) 98% confidence interval for population mean
df =7 -1 = 6
t = 3.1427 from the t –distribution diagram above
= x ¿¿ = 7.0429¿ ¿)
98% CI = (6.4457, 7.6401)
b) H0: u = 7.5
Versus, H0 < 7.5
α =1 % level
Test statistic, t = xu
sd / n = 7.04297.5
0.5028/ 7
t = -2.4053
P-value = 0.0265
P-value >
Tailed to reject H0

Paraphrase This Document

Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
Document Page
There is no evidence to support the claim that population less than 7.5
Question 8
a) P ( 0.5< x <2 )x 3
= P [ ( 0.5< x< 2 ) ( x 3 ) ]
p ( x 3)
= P [0.5< x< 2]
P( x 3)
=

0.5
1
x
2 dx+
1
2
4x
6 dx

0
1
x
2 dx +
1
3
4x
6 dx
= 1
4 ( 10.25 )+ 1
6 ¿ ¿
=
0.1875+2.5
6
1
4 + 4
6
= 0.6591
b) As Xi’s are iid random variables
E(T) = E¿i)
= 81 * E ¿i) = 5
381=135
Var(T) = Var¿i)
= 812 * Var*Xi) = 812 * Var(x)
= 812*Var(Xi) = 812 * Var(x)
= 812 * 13/18
= 4738.56
As n = sample size = 81 > 70
So we use CLT
P(125 < T < 140) = P( 125135
4738.5 < T 135
4738.5 < 140135
4738.5 )
T 135
4738.5 =Z
¿ ф ( 0.073 )ф(0.145) N (0 , 1)
= 0.5291 – 0.4424
= 0.0867
1 out of 8
circle_padding
hide_on_mobile
zoom_out_icon
[object Object]

Your All-in-One AI-Powered Toolkit for Academic Success.

Available 24*7 on WhatsApp / Email

[object Object]