HP Prime Graphing Wireless Calculator Instrukcja Użytkownika Pobierz pdf (Strona 453)

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101

●

1: μ < μ

●

2: μ > μ

●

3: μ ≠ μ

Example:

HypT1mean(0.461368, 0.2776, 50, 0.5, 0.05, 1) returns {1, -.9462…, 0.4614, 0.8277…,

1.6448…, 0.5671…}

HypT2mean

The two-sample T-test for means. Returns a list containing (in order):

●

0 or 1 to reject or fail to reject the null hypothesis

●

The test T-value

●

The test Δ value

●

The upper-tail probability

●

The degrees of freedom

●

The upper critical T-value associated with the input α-level

●

The critical value of Δ associated with the critical t-value

HypT2mean((

,α,pooled,mode)

Pooled: Species whether or not the samples are pooled

●

0: not pooled

●

1: pooled

Mode: Species which alternative hypothesis to use:

●

1: μ

< μ

●

2: μ

> μ

●

3: μ

≠ μ

Example:

HypT2mean(0.461368, 0.522851, 0.2776, 0.2943,50, 50, 0.05, 0, 1) returns {1,

-1.0746…, -0.0614…, 0.8574…, 97.6674…, 1.6606…, 0.0335…}

ConfZ1mean

The one-sample Normal condence interval for a mean. Returns a list containing (in order):

●

The lower critical Z-value

●

The lower bound of the condence interval

●

The upper bound of the condence interval

ConfZ1mean( ,n,σ,C)

Example:

ConfZ1mean(0.461368, 50, 0.2887, 0.95) returns {- 1.9599…, 0.3813…, 0.5413…}

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