Description Usage Arguments Details Value Examples

This function displays d for Z-test with the population mean and standard deviation. The normal confidence interval is also provided.

1 | ```
d.z.mean(mu, m1, sig, sd1, n, a = 0.05)
``` |

`mu` |
population mean |

`m1` |
sample study mean |

`sig` |
population standard deviation |

`sd1` |
standard deviation from the study |

`n` |
sample size |

`a` |
significance level |

d is calculated by deducting the population mean from the sample study mean and dividing by the alpha level.

d = (m1 - mu) / sig

Learn more on our example page.

The effect size (Cohen's d) with associated confidence intervals and relevant statistics.

`d` |
effect size |

`dlow` |
lower level confidence interval d value |

`dhigh` |
upper level confidence interval d value |

`M1` |
mean of sample |

`sd1` |
standard deviation of sample |

`se1` |
standard error of sample |

`M1low` |
lower level confidence interval of the mean |

`M1high` |
upper level confidence interval of the mean |

`Mu` |
population mean |

`Sigma` |
standard deviation of population |

`se2` |
standard error of population |

`z` |
z-statistic |

`p` |
p-value |

`n` |
sample size |

`estimate` |
the d statistic and confidence interval in APA style for markdown printing |

`statistic` |
the Z-statistic in APA style for markdown printing |

1 2 3 4 5 | ```
#The average quiz test taking time for a 10 item test is 22.5
#minutes, with a standard deviation of 10 minutes. My class of
#25 students took 19 minutes on the test with a standard deviation of 5.
d.z.mean(mu = 22.5, m1 = 19, sig = 10, sd1 = 5, n = 25, a = .05)
``` |

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