What does it mean to find statistically significant results? a. We say we found statistically significant differences between treatments when the observed differences in the samples are too large to be attributed to chance, so we believe there are true differences in the populations. b. We say we found statistically significant differences between treatments when the observed differences in the samples are too small to be attributed to chance, so we believe there are true differences in the populations. c. We say we found statistically significant differences between treatments when the observed differences in the populations are too large to be attributed to chance, so we believe there are true differences in the samples. d. We say we found statistically significant differences between treatments when the observed differences in the populations are too small to be attributed to chance, so we believe there are true differences in the samples.

Question

Coleman Hardin

Mathematics

2 October, 04:57

What does it mean to find statistically significant results? a. We say we found statistically significant differences between treatments when the observed differences in the samples are too large to be attributed to chance, so we believe there are true differences in the populations. b. We say we found statistically significant differences between treatments when the observed differences in the samples are too small to be attributed to chance, so we believe there are true differences in the populations. c. We say we found statistically significant differences between treatments when the observed differences in the populations are too large to be attributed to chance, so we believe there are true differences in the samples. d. We say we found statistically significant differences between treatments when the observed differences in the populations are too small to be attributed to chance, so we believe there are true differences in the samples.

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Tiffany Perkins · Answer 1

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Step-by-step explanation:

In statistics a results comes significant when it's improbable that we got it by chance.

A population is a set of objects, individuals, elements or events with certain characteristics.

A sample of said population is often obtained.

When we found differences between the samples that are too large to be by the chance we believed that are differences in the populations because the results are extrapolated to the rest of the population (statistical inference).