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Do hunters cover themselves in blood?

Although some hunters believe “blooding” rituals are rooted in American Indian culture, they're more likely a custom passed down by European settlers. Blood smearing is best described as a social ritual that initiates newcomers to the hunting ranks.

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Question:

I’m going deer hunting for the first time this year, and I’ve heard of a tradition that requires you to smear the blood on your face of your first kill. Why is that? What is the purpose?

— P.K., Georgia

Dan Schmidt’s response:

This is an excellent question that’s poorly understood among today’s hunters. Although some hunters believe “blooding” rituals are rooted in American Indian culture, they’re more likely a custom passed down by European settlers. Blood smearing is best described as a social ritual that initiates newcomers to the hunting ranks. It is believed to have started in the 16th century by English fox hunters. Considered a rite of passage, a master huntsman would smear the blood of a hunter’s first fox on their cheeks and forehead. They would often use the fox’s tail to apply the blood. Another misunderstood custom, known as the last bite, is practiced by some modern American deer hunters. In this act, a hunter places a branch, leaves or grass in the deer’s mouth as a way of honoring the animal in death. This ritual is linked heavily toward German hunters, who called it Der letzte Biss, after shooting roe deer and wild hogs. It was practiced for centuries before being popularized in the 18th century in hunting memoirs. Although many Americans don’t know the history behind these rituals, they were considered as almost sacred acts among hunters centuries ago. To forgo them upon the killing of an animal was considered disrespectful and a sure sign of bad luck to follow.

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What does ANOVA result tell you?

The one-way analysis of variance (ANOVA) is used to determine whether there are any statistically significant differences between the means of three or more independent (unrelated) groups.

One-way ANOVA

What is this test for?

The one-way analysis of variance (ANOVA) is used to determine whether there are any statistically significant differences between the means of three or more independent (unrelated) groups. This guide will provide a brief introduction to the one-way ANOVA, including the assumptions of the test and when you should use this test. If you are familiar with the one-way ANOVA, but would like to carry out a one-way ANOVA analysis, go to our guide: One-way ANOVA in SPSS Statistics.

What does this test do?

The one-way ANOVA compares the means between the groups you are interested in and determines whether any of those means are statistically significantly different from each other. Specifically, it tests the null hypothesis: where µ = group mean and k = number of groups. If, however, the one-way ANOVA returns a statistically significant result, we accept the alternative hypothesis (H A ), which is that there are at least two group means that are statistically significantly different from each other. At this point, it is important to realize that the one-way ANOVA is an omnibus test statistic and cannot tell you which specific groups were statistically significantly different from each other, only that at least two groups were. To determine which specific groups differed from each other, you need to use a post hoc test. Post hoc tests are described later in this guide.

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