Estimation part 1 Introduction in Nepali MBS MBA MPA BBA Statistics TU [Sampling and Estimation]

Part 1 Estimation Introduction in Nepali For MBS MBA MPA BBA Statistics, M.Sc. B.Sc. Bio-Statistics

Part 2 Estimation Solution- About Mean [Confidence Interval about Mean]

Part 3 Estimation Solution- About Proportion [Confidence Interval about Proportion]

Part 4 Estimation- Solution - Sample Size determination

Additional Questions
Confidence Interval about Mean
Part 1 The Quality control manager of a light bulbs factory needs to
estimate the mean life of a large shipment of light bulbs.
The process standard deviation is known to be 100 hours.
A random sample of 64 light bulbs indicated as sample mean
life of 350 hours.
a. obtained the standard error of mean.
b. set up 95% confidence interval estimate of the true
population mean of light bulbs in shipment.

Part 2 The mean income of 100 employees of a factory was
found to be Rs. 5000 with standard deviation 60.
Find 95% confidence limit for the mean income
of all the employees of the factory.

Part 3 From a consignment of 100 apples 20 apples
is drawn by simple random sampling method
without replacement. If out of 20 apples 15
apples found to be defective, what should be
the standard error of sample proportion?

Part 4 A survey of 500 peoples shopping at a shopping
Mall, selected at random, shows that 350 of them
used cash and 150 of them used credit cards.
Construct 95 % confidence interval estimate of the
proportion of all the persons at the mall who uses
cash for shopping.

Hypothesis Test
part 1 Introduction on Hypothesis. (Null and Alternate hypothesis, Test Statistics, Significance level, Critical Value, one tailed (right tailed, Left tailed), Two tailed test. Detailed Explanation on Hypothesis

Part 2 Z test test - Steps involved in Z test and Formula discussion for all possible Problem.

Part 3 Z test Hypothesis - Single mean Two tailed Test

Part 4 Z-Test Hypothesis Testing- Single mean One tailed Test

Part 5 Z- Test Hypothesis Testing- Double Mean one and Two tailed Both

Part 6 Z Test Single Proportion Two Tailed Test TU Solution

Part 7 Z Test Single Proportion One Tailed Test

Part 8 Z Test Double Proportion TU MBS Solution

T- Test
Part 1 T test Hypothesis set up, Formula Discussion, Difference between Z and T test

Part 2 T test Single Mean ( Standard Deviation Given)- Significance difference between Single mean

Part 3 T test Single Mean (Standard Deviation not Given )

Part 4 T test Double Mean (Independent Sample)

Part 5 T test Double Mean (Dependent Sample)

F- Test
Part 1 Introduction of F Test

Part 2 Variance Test - Two population have same variance or not

Part 3 ANOVA Test One way Introduction and Problem Solution

Part 4 ANOVA Test One way problem Solve

Part 5 ANOVA Two Way ANOVA Introduction and Problem Solution

Part 6 ANOVA Two Way Problem Solve

Chi- Square Test
Part 1 Introduction of Chi Square test, Formula Discussion

Part 2 Chi-Square Test (To test the independence of attributes/variables)

Part 3 Chi Square Test - To test the goodness of fit Binomial Distribution

Part 4 Chi Square Test- To Test the goodness of fit Poisson Distribution

Part 5 Chi Square Test- To Test the goodness of fit ( Uniform distribution, ratio)

Estimation is any of process used to calculate the value of some property of a unknown population from observations of a sample drawn from the population.
Types of Estimation
A point estimate: It is the single number most likely to express the value of the property.
An interval estimate defines a range within which the value of the property can be expected (with a specified degree of confidence) to fall.

Unit: Sampling and Estimation Solution
MBS MBA MPA Statistical Method Statistics Estimation
MSc BSC Bio Statistics Applied Statistics Estimation
Confidence Interval Estimation
Statistics Estimation Solution
TU PU Pokhara University Statistics Solution MBS MBA MPA MSC BSC BBA

For More:
Kshitiz Subedi
Contact: 977-9849740419
EDU GLOBAL FOUNDATION
01-5218180

[sangeetgurung]

thank you da ... exam ko bela kasto majale bujhiyo

[ibsharma]

This video deserves millions of views🥰🥰🥰

[babitashrestha]

Really helpful.. thankyou so much sir..

[pramodshrestha]

yo level of significance z ko value 2 kisim bata herna milne raixa haina ta!! euta from t-distribution directly alpha ko value diyeko huncha two tailed test ma ani normal distribution table-divide by 2 garera

[beingyourself]

sir hajurle aplha matra lekhnu bhayo book haru Zalpha/2 garyacha confuse bhaye ma ta, clear gardinu na 8:35

[kashinathgautam]

Thank you somuch sir it means alots🙏🙏🙏🙏🙏

[priyabhattarai]

H test ko pani video banaidinuna sir 🙏

[maheshbista]

sir🙏 hajur le padaunu bhako ramro sang buje tar diploma in civil engineering ko questions kasto shodhx yasko lagi chapter bay banai dinun

[thapaumesh]

Sir confidence level nadiyako bela kati rakhni honi

[Your_Magar]

Today's is my exam and know I am watching 1st time estimation 😅😅

[forallexaminationtricky]

Sir एकै वर्ष दुई विषयमा मास्टर डिग्रिमा भर्ना गर्न मिल्छ कि नाई सर?

[rabindrapaudel]

Z alpha ko value 10 percent 5 percent ko kasari calculate garya ho??

[SamjhanaPaudel-hp]

Class ma kehi meso napayara yata aako hope yata mannale bujhne kosis garne xu😊

[ashokshahi]

Estimate गर्दा चाहिन Data र Dacument के के हुन sir plz ans me😢

[_mrpujan]

sir level of significance ma 3% aayo vani Z value k gari nikalne?normally aaru sab table ma cha in case table ma na vako nikalda

[rhullbhattarai]

Is it useful for bbs 1st year this year??

[anushilshrestha]

sir qns estimation ko ho ki hypothesis testing kasri difference garne?

[kusummahat]

A random sample of 25 oranges drawn from a lot of 300. If the number of foal orange in the lot is 15, find
i) standard error of sample proportion of foal (bad) oranges.
ii) standard error of sample proportion of bad oranges without replacement.
Can you please solve this problem

[ritamoktan]

Sir bsc 2nd yearko laagi useful hunxa ni hai ma hajurko video bata padhdai xu

[manoj]

Aba 15 gate exam xa aaja vdo herna suru pass hola ta 😂