10.2 Tests of Significance Significance level (α): used to compare

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10.2 Tests of Significance

Significance level (  ): used to compare the p-value with a fixed value which we regard as a decisive factor as to whether a value will be statistically significant.

p-value: the probability that x will take on a value as extreme or more extreme than the actual observed value (

(If the P-value is as small or smaller than

 )

 then we say that the data are statistically significant at level

)

Diet colas which use artificial sweeteners were studied to observe whether they lose sweetness over time. There were ten taste testers which rated the amount of sweetness lost on a scale of zero to ten. Here were the results:

2.0

0.4

0.7

2.0

-0.4

2.2

-1.3

1.2

1.1

2.3

Is this good evidence that the colas lost sweetness?

Average loss = 1.02

Is this just by chance or is there a true loss of sweetness?

The TEST:

State the null hypothesis is no change

H

0

:   0

H

0 which states that there

(no loss in sweetness)

State the alternative hypothesis that there is change

H a

:   0

H a which states

(loss in sweetness)

If we assume the null hypothesis is true, would x  1 .

02 be a large enough mean from the sample to conclude that the null hypothesis must be false?

Assume that would be a value: x 

1

.

3

10

 1 then the standard deviation

= .316 which means if   could occur “just by chance”

(approx. one s.d. from mean)

0 then x  1 .

02 is unlikely to occur “just by chance”

(approx. three s.d. from mean)

1) How likely are these values (.3 and 1.02)?

2) How much convincing do you need?

1) Calculate P-values

.

3 

.

316

0

 .

95 .

1711

17% of all samples will give a result of .3

or greater “just by chance”

1 .

02 

.

316

0

 3 .

23 .0006

.06% of all samples will give a result of

1.02 or greater “just by chance”

2) Rule of Thumb: use a level of .05 to determine if the P values are statistically significant (happening “just by chance” is rare)

.1711 is not statistically significant

.0006 is statistically significant

Mr. X claims that the average score for his class should be a bit higher than 90. Test Mr.

X’s claim using the following data.

The scores on an AP Stat test were:

92 93 95 79 89 91 92 85 93 92

State the hypothesis: (use correct notation!)

Find z-score: (show correct mechanics)

Find p-value: (calculator)

State a conclusion:

(BE SPECIFIC TO THE PROBLEM!!!!!!!!!!)

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