Question

4. What is the difference between “z” and “t” statistics? When do we use z-table, and when do we use t-table?

Answer #1

Z statistics and t statistics are both used statistical hypothesis testing, when the sample size is less than 30 and population standard deviation is not known then we should used t-statistic, whereas when the sample size is greater than 30 and the population standard deviation is given then we should use Z statistic.

It is noted that wen the sample size increases 30 the T table value approaches Z table value.

The Z statistic is used to standardize the sample values which makes it more convenient to compare for desired result.

How do you know when to use the Z table vs T Table in
statistics?

When do we use Z-Test and when do we use t-Test?

how
do i know when to use z table t table x^2 table?

Describe what distribution we use when calculating test
statistics Z OR T STATİSTİCS?
STATE
ORDER2019
ORDER2018
Alabama
536
559
Alaska
487
514
Arizona
499
523
Arkansas
554
562
California
499
498
Colorado
556
539
Connecticut
513
509
Delaware
476
501
Florida
471
498
Georgia
473
491
Hawaii
469
486
Idaho
517
543
Illinois
591
576
Indiana
475
499
Iowa
575
593
Kansas
563
577
Kentucky
563
550
Louisiana
546
564
Maine
453
506
Maryland
491
508
Massachusetts
509
511
Michigan...

Define what a scope of inference is for statistics.
What is the difference between a t-value and a sample
statistic.
Thank you.

Define type 1error
What is the difference between t- Test, and z test

If
the degree of freedom is 36 do we use 30 or 40 in the
t-table?

If we know the population standard deviation, we can use which
table to do a hypothesis test?
Group of answer choices
Z-table
T-table
Critical table
Significant table
In the critical value approach, to make a decision, we compare
the critical value with the:
Group of answer choices
Test statistic
p-value
Hypothesized value
Population parameter
In the critical value approach, if we are doing a two-tailed
test, we do not know the population standard deviation, and we find
that the test...

Probability And Statistics
Question:
What is the difference between sample and population?
Why we have choose sampling method instead of population analysis?
Explain sampling procedures with suitable examples?

What are the similarities and differences between the two t
tests for the difference between two population means? Under what
condition should we use the t test for the matched samples?

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