Math / Data & Statistics

QuestionPut the following P-values in order from weakest to strongest in terms of evidence against the statement in the null hypothesis. A. 0.013 B. 0.048 C. 0.008 D. 0.036
The correct order is $\square$ $\square$ $\square$ $\square$

Studdy Solution

STEP 1

What is this asking? We need to arrange these P-values from largest to smallest, because smaller P-values mean stronger evidence against the null hypothesis. Watch out! Don't mix up "largest to smallest" with "smallest to largest"!
A smaller P-value means stronger evidence.

STEP 2

1. Compare the P-values

STEP 3

A P-value tells us how likely it is to see our observed data (or even more extreme data) if the null hypothesis were actually true.
A small P-value suggests the null hypothesis is probably wrong, while a large P-value means the null hypothesis could be right.

STEP 4

We're putting the P-values in order from weakest evidence against the null hypothesis to strongest evidence.
This means we need to arrange them from largest to smallest.

STEP 5

Let's look at our P-values: $0.013$ , $0.048$ , $0.008$ , and $0.036$ .
The largest of these is $0.048$ .
Next comes $0.036$ , then $0.013$ , and finally, the smallest is $0.008$ .

STEP 6

The correct order from weakest to strongest evidence against the null hypothesis is: $0.048$ $0.036$ $0.013$ $0.008$

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QuestionPut the following P-values in order from weakest to strongest in terms of evidence against the statement in the null hypothesis. A. 0.013 B. 0.048 C. 0.008 D. 0.036
The correct order is $\square$ $\square$ $\square$ $\square$

Studdy Solution

STEP 1

What is this asking? We need to arrange these P-values from largest to smallest, because smaller P-values mean stronger evidence against the null hypothesis. Watch out! Don't mix up "largest to smallest" with "smallest to largest"!
A smaller P-value means stronger evidence.

STEP 2

1. Compare the P-values

STEP 3

A P-value tells us how likely it is to see our observed data (or even more extreme data) if the null hypothesis were actually true.
A small P-value suggests the null hypothesis is probably wrong, while a large P-value means the null hypothesis could be right.

STEP 4

We're putting the P-values in order from weakest evidence against the null hypothesis to strongest evidence.
This means we need to arrange them from largest to smallest.

STEP 5

Let's look at our P-values: $0.013$ , $0.048$ , $0.008$ , and $0.036$ .
The largest of these is $0.048$ .
Next comes $0.036$ , then $0.013$ , and finally, the smallest is $0.008$ .

STEP 6

The correct order from weakest to strongest evidence against the null hypothesis is: $0.048$ $0.036$ $0.013$ $0.008$

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QuestionPut the following P-values in order from weakest to strongest in terms of evidence against the statement in the null hypothesis. A. 0.013 B. 0.048 C. 0.008 D. 0.036The correct order is □\square□ □\square□ □\square□ □\square□

Studdy Solution

STEP 1

What is this asking? We need to arrange these P-values from largest to smallest, because smaller P-values mean stronger evidence against the null hypothesis. Watch out! Don't mix up "largest to smallest" with "smallest to largest"!A smaller P-value means *stronger* evidence.

STEP 2

1. Compare the P-values

STEP 3

A P-value tells us how likely it is to see our observed data (or even more extreme data) if the null hypothesis were actually true.A *small* P-value suggests the null hypothesis is probably wrong, while a *large* P-value means the null hypothesis could be right.

STEP 4

We're putting the P-values in order from *weakest* evidence against the null hypothesis to *strongest* evidence.This means we need to arrange them from *largest* to *smallest*.

STEP 5

Let's look at our P-values: 0.0130.0130.013, 0.0480.0480.048, 0.0080.0080.008, and 0.0360.0360.036.The *largest* of these is 0.0480.0480.048.Next comes 0.0360.0360.036, then 0.0130.0130.013, and finally, the *smallest* is 0.0080.0080.008.

STEP 6

The correct order from weakest to strongest evidence against the null hypothesis is: 0.0480.0480.048 0.0360.0360.0360.0130.0130.0130.0080.0080.008

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Studdy solves anything!

Start learning now

Download Studdy AI Tutor now. Learn with ease and get all help you need to be successful at school.

QuestionPut the following P-values in order from weakest to strongest in terms of evidence against the statement in the null hypothesis. A. 0.013 B. 0.048 C. 0.008 D. 0.036
The correct order is $\square$ $\square$ $\square$ $\square$

What is this asking? We need to arrange these P-values from largest to smallest, because smaller P-values mean stronger evidence against the null hypothesis. Watch out! Don't mix up "largest to smallest" with "smallest to largest"!
A smaller P-value means stronger evidence.

A P-value tells us how likely it is to see our observed data (or even more extreme data) if the null hypothesis were actually true.
A small P-value suggests the null hypothesis is probably wrong, while a large P-value means the null hypothesis could be right.

We're putting the P-values in order from weakest evidence against the null hypothesis to strongest evidence.
This means we need to arrange them from largest to smallest.

Let's look at our P-values: $0.013$ , $0.048$ , $0.008$ , and $0.036$ .
The largest of these is $0.048$ .
Next comes $0.036$ , then $0.013$ , and finally, the smallest is $0.008$ .

The correct order from weakest to strongest evidence against the null hypothesis is: $0.048$ $0.036$ $0.013$ $0.008$