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1. What is the difference between a population and a samplein statistics?(I need Unique answer) (i need more details and more Explain)(use your own words don't copy and paste) (don't use handwritting) (put ypur refrence URL Link)
2. How to interpret confidence intervals and confidence levels? (I need Unique answer) (i need more details and more Explain)(use your own words don't copy and paste) (don't use handwritting) (put ypur refrence URL Link)
3. Why the p-value is important? (I need Unique answer) (i need more details and more Explain)(use your own words don't copy and paste) (don't use handwritting) (put ypur refrence URL Link)

Answer 1

Answer:

1)Difference between a population and a samplein statics:

• To comprehend the naure of a specific normal for a component (subjective or quantative) the arrangement of all conceivable and individual components is known as populace while to acquire data from this, when an extensively littler subset is taken through some procedure ( randomized or non randomized) and get the information that we are keen on, at that point that subset of populace is known as test.
• Populace is the aggregate gathering of people of which we need to quantify the attributes while test is a piece of it which gives us gauge of the trademark.
• As precedent to acquire the normal circulatory strain of diabetic patient, the gathering of all diabetic patient in an area is populace, while haphazardly chose some diabetic patient is test.

refrence URL Link:

http://www.statisticssolutions.com/what-is-the-difference-between-population-and-sample/2

2) How to interpret confidence intervals and confidence levels:

• Certainty interims are interim of an interim between two genuine qualities which contains the relating populace trademark named as parameter with some certainty.
• Here this certainty is really considered as a likelihood of the occasion that if progressive interims where estimated in a similar strategy by which this interims are getting estimated then the level of times the interim contained genuine parameter esteem.
• Note that the parameter has a place with that interim with likelihood 0 or 1 that is either in that or not, so that isn't the likelihood we are discussing.
• We are discussing the progressive proportion of the interims and the extent of they will contain the incentive as certainty.
• Presently certainty level is the estimation of certainty that is wanted to be kept up or accomplished.
• As model, a 95% certainty interim for populace mean is the interim which will be estimated in light of arbitrary qualities tested from the populace is such a path, to the point that it will contain the populace mean an incentive with 95% certainty.

refrence URL Link:

http://blog.minitab.com/blog/adventures-in-statistics-2/understanding-hypothesis-tests-confidence-intervals-and-confidence-levels3

3. Why the p-value is important:

• The p-esteem is imperative extraordinarily for two reasons.
• Right off the bat utilizing p-esteem we check the speculation, if p-esteem is more noteworthy than the level of criticalness then we dont dismiss invalid theory and if not then we do.
• So it causes us to see the legitimacy of invalid theory, how much close the example esteems to the invalid presumption.
• Besides if in future we feel to change the level of criticalness or need to contrast past example and another example then we dont need to ascertain once more for more established qualities where the p-esteem speaks to the situation of test measurement closer towards the invalid parameter esteems which is the agent of the example.
• So to vacillate level of noteworthiness, p-estimation of a specific example can be utilized over and over to think about as it is settled for a specific example under same invalid speculation.

refrence URL Link:

https://www.dummies.com/education/math/statistics/what-a-p-value-tells-you-about-statistical-data/