# Statistics for Managers

**Question description**

The t-test is more sensitive to minor differences between sample and population. With the t-test one can be confident of the normality of the data. The t-test requires no <known> parameter standard error of the mean. |

Powerful tests are more inclined to type II than type I errors. Powerful tests compensate for decision errors with stronger effect sizes. Powerful tests minimize type II errors. |

There are limits to the range of scores that can be fitted to a distribution. A distribution based on sample means will be normal. There will always be theoretical differences between distributions. |

False |

False |

Because the critical values are calculated directly from degrees of freedom. The degrees of freedom reflect the value of SE_{M.}The degrees of freedom are indexed to the M – μ difference._{M} |

False |

False |

False |

t.The M_{1}– M difference._{2}The calculated value of t.The SE_{d} |

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