Question

1. More often than not, Inferential statistical methods are the best way to illustrate information by using graph, charts and numerical values to validate theories.

Question 1 options:

True | |

False |

**2.** There can be both positive and negative
correlations between variables that are statistically significant
enough to validate causation.

Question 2 options:

True | |

False |

3.

Symmetrical data results in descriptive statistics that demonstrate little variance

True | |

False |

4.

In matters of ranking results on exams, and other tools to measure performance, percentiles are a good method to assess performances within a cohort.

True | |

False |

5.

Floors and ceilings rarely give consumers a true picture of cost paid by suppliers.

True | |

False |

Answer #1

1.More often than not, Inferential statistical methods are the best way to illustrate information by using graph, charts and numerical values to validate theories.

Answer: **TRUE**

**
Explanation:**

As the characteristics of the population is unknown to us we try
to estimate the unknown nature of the population from the known
nature of the sample. In this case we use different type of
hypothetical testing to validate our theories.For that we required
to have the expectation of the sample as well as the standard
daviation. We then reject or do not reject our hypothesis based on
the confidence interval in the values of the test statistics.In
such a case critical region can be shown under a curve which helps
to get our results. Also the trending behaviour in the time series
model can be seen from the line graphs. So the above statement is
**True.**

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