Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|

example of alternative hypothesis psychology | 1.7 | 1 | 8619 | 52 | 44 |

example | 1.55 | 0.7 | 8713 | 92 | 7 |

of | 1.64 | 1 | 8332 | 17 | 2 |

alternative | 1.4 | 0.3 | 973 | 14 | 11 |

hypothesis | 1.77 | 0.1 | 2100 | 45 | 10 |

psychology | 1.64 | 0.3 | 5880 | 68 | 10 |

Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|

example of alternative hypothesis psychology | 1.19 | 0.3 | 3661 | 74 |

example of alternative hypothesis in research | 1.19 | 0.7 | 6626 | 60 |

what is an alternative hypothesis psychology | 1.85 | 0.6 | 7361 | 76 |

types of alternative hypothesis | 0.18 | 0.3 | 7299 | 66 |

sample of alternative hypothesis | 0.6 | 0.4 | 9752 | 93 |

alternative hypothesis meaning psychology | 0.64 | 0.3 | 1754 | 75 |

hypothesis vs alternative hypothesis examples | 1.54 | 0.3 | 5471 | 90 |

alternative hypothesis examples in research | 1.77 | 0.6 | 1940 | 63 |

what is a alternate hypothesis example | 0.27 | 0.9 | 6814 | 34 |

what is alternative hypothesis in research | 2 | 1 | 1728 | 81 |

alternative hypothesis example biology | 0.65 | 0.3 | 995 | 87 |

alternative hypothesis example statistics | 1.8 | 0.3 | 3209 | 27 |

alternate hypothesis in research | 1.82 | 0.3 | 8215 | 66 |

alternative hypothesis psychology examples | 0.87 | 0.8 | 3798 | 91 |

An alternative hypothesis aims to disprove the null hypothesis after you've tested your original prediction and learned that it was incorrect. Alternative hypotheses can be either directional or non-directional. A directional alternative hypothesis predicts a specific outcome, while a non-directional hypothesis predicts a more general outcome.

A one-tailed hypothesis involves making a “greater than” or “less than ” statement. For example, suppose we assume the mean height of a male in the U.S. is greater than or equal to 70 inches. A two-tailed hypothesis involves making an “equal to” or “not equal to” statement.

The null and alternative hypotheses are two competing claims that researchers weigh evidence for and against using a statistical test: Null hypothesis (H0): There’s no effect in the population. Alternative hypothesis (HA): There’s an effect in the population. The effect is usually the effect of the independent variable on the dependent variable.

The main types of null hypotheses are simple, composite, exact, and inexact hypotheses. The null hypothesis is favored if the p-value is higher than the statistical significance level. In contrast, the alternate hypothesis is favored if the p-value is lower than the statistical significance level.