notes: use math mode to write "t-test"
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@ -181,7 +181,7 @@ $$
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$$
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In order to compare the values $m_e$ and $m_0$, the following compatibility
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t-test was applied:
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$t$-test was applied:
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$$
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p = 1 - \text{erf}\left(\frac{t}{\sqrt{2}}\right)\ \with
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t = \frac{|m_e - m_o|}{\sqrt{\sigma_e^2 + \sigma_o^2}}
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@ -267,7 +267,7 @@ $$
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As stated above, the median is less sensitive to extreme values with respect to
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the mode: this lead the result to be much more precise. Applying again the
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aforementioned t-test to this statistic:
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aforementioned $t$-test to this statistic:
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- $t=0.761$
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- $p=0.446$
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@ -344,7 +344,7 @@ $$
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\text{observed FWHM: } w_o = \num{4.06 \pm 0.08}
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$$
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Applying the t-test to these two values gives
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Applying the $t$-test to these two values gives
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- $t=0.495$
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- $p=0.620$
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@ -369,7 +369,7 @@ See @sec:res_comp for results compatibility.
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In order to compare the values $x_L$ and $x_{\chi}$ obtained from both methods
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with the correct ones ({$\alpha_0$, $\beta_0$, $\gamma_0$}), the following
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compatibility t-test was applied:
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compatibility $t$-test was applied:
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$$
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p = 1 - \text{erf}\left(\frac{t}{\sqrt{2}}\right)\ \with
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@ -412,7 +412,7 @@ $\chi^2$ results:
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Table: $\chi^2$ results compatibility.
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It can be concluded that, with both methods, the parameters $\alpha$ and $\beta$
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were recovered succefully, while $\gamma$ is incompatible. However, the
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were recovered successfully, while $\gamma$ is incompatible. However, the
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covariance was estimated using the Cramér-Rao bound, so the errors may be
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underestimated, which must be the case for $\gamma$.
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@ -426,9 +426,9 @@ The issue remains unsolved as no explanation was found.
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## Isotropic hypothesis testing
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What if the probability distribution function were isotropic?
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Is this hypothesys compatible with the observation?
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Is this hypothesis compatible with the observation?
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If $F$ is isotropic, $\alpha_I$, $\beta_I$ and $\gamma_I$ would be $1/3$ , 0,
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and 0 respectively, since this gives $F_I = 1/{4 \pi}$. The t-test gives a
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and 0 respectively, since this gives $F_I = 1/{4 \pi}$. The $t$-test gives a
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$p$-value approximately zero for all the three parameters, meaning that there
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is no compatibility at all with this hypothesis.
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@ -212,7 +212,7 @@ $$
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where $\chi_r^2$ is the $\chi^2$ per degree of freedom, proving a good
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convergence.
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In order to compare $P^{\text{oss}}_{\text{max}}$ with the expected value
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$P_{\text{max}} = 10$, the following compatibility t-test was applied:
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$P_{\text{max}} = 10$, the following compatibility $t$-test was applied:
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$$
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p = 1 - \text{erf}\left(\frac{t}{\sqrt{2}}\right)\ \with
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