Hp 50g Graphing Calculator Manual de usuario descargar pdf (Pagina 611)

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101

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1. Z-Test: 1 μ.: Single sample hypothesis testing for the population mean, μ,

with known population variance, or for large samples with unknown

population variance.

2. Z-Test: μ1−μ2.: Hypothesis testing for the difference of the population

means, μ

- μ

, with either known population variances, or for large

samples with unknown population variances.

3. Z-Test: 1 p.: Single sample hypothesis testing for the proportion, p, for

large samples with unknown population variance.

4. Z-Test: p1− p2.: Hypothesis testing for the difference of two proportions, p

, for large samples with unknown population variances.

5. T-Test: 1 μ.: Single sample hypothesis testing for the population mean, μ,

for small samples with unknown population variance.

6. T-Test: μ1−μ2.: Hypothesis testing for the difference of the population

means, μ

- μ

, for small samples with unknown population variances.

Try the following exercises:

Example 1

– For μ

= 150, σ = 10, ⎯x = 158, n = 50, for α = 0.05, test the

hypothesis H

: μ = μ

, against the alternative hypothesis, H

: μ≠μ

Press ‚Ù—— @@@OK@@@ to access the hypothesis testing feature in the

calculator. Press @@@OK@@@ to select option 1. Z-Test: 1 μ.

Enter the following data and press @@@OK@@@:

You are then asked to select the alternative hypothesis. Select μ≠150, and

press @@OK@@. The result is:

1 2 ... 606 607 608 609 610 611 612 613 614 615 616 ... 886 887

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Hp 50g Graphing Calculator Manual de usuario Pagina 611

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