are you sure that statistic is true what ___ did you find it in ?

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are you sure that statistic is true what ___ did you find it in ?

Here are some links that might be useful to you:

https://quizlet.com/738328693/chapter-9-introduction-to-t-tests-flash-cards

https://quizlet.com/738328693/chapter-9-introduction-to-t-tests-flash-cards
Chapter 9 Introduction to t-Tests Flashcards | Quizlet
You can see the probability associated with this t statistic in the bubble with the orange type along the orange line. For the second t statistic, it should read 0.0422. The t statistic with larger n is less likely. Because a larger n sample produces a more unlikely t, you are more likely to reject the null hypothesis with a larger sample.

https://stats.libretexts.org/Courses/Highline_College/Book:_Statistics_Using_Technology_(Kozak)/07:_One-Sample_Inference/7.01:_Basics_of_Hypothesis_Testing

https://stats.libretexts.org/Courses/Highline_College/Book:_Statistics_Using_Technology_(Kozak)/07:_One-Sample_Inference/7.01:_Basics_of_Hypothesis_Testing
7.1: Basics of Hypothesis Testing – Statistics LibreTexts
Test Statistic: z = x¯¯¯ −μo σ/ n−−√ since it is calculated as part of the testing of the hypothesis. Definition 7.1.4. p – value: probability that the test statistic will take on more extreme values than the observed test statistic, given that the null hypothesis is true.

https://www.scribbr.com / statistics / test-statistic

https://www.scribbr.com / statistics / test-statistic
Test statistics | Definition, Interpretation, and Examples – Scribbr
The test statistic is a number calculated from a statistical test of a hypothesis. It shows how closely your observed data match the distribution expected under the null hypothesis of that statistical test. The test statistic is used to calculate the p value of your results, helping to decide whether to reject your null hypothesis.

https://www.scribbr.com/statistics/confidence-interval

https://www.scribbr.com/statistics/confidence-interval
Understanding Confidence Intervals | Easy Examples & Formulas – Scribbr
The confidence interval cannot tell you how likely it is that you found the true value of your statistical estimate because it is based on a sample, not on the whole population. The confidence interval only tells you what range of values you can expect to find if you re-do your sampling or run your experiment again in the exact same way.

https://www.scribbr.com/category/statistics

https://www.scribbr.com/category/statistics
The Beginner’s Guide to Statistical Analysis | 5 Steps & Examples – Scribbr
A test statistic tells you how much your data differs from the null hypothesis of the test. A p value tells you the likelihood of obtaining your results if the null hypothesis is actually true in the population. Statistical tests come in three main varieties: Comparison tests assess group differences in outcomes.

https://statisticsbyjim.com/hypothesis-testing/hypothesis-tests-significance-levels-alpha-p-values

https://statisticsbyjim.com/hypothesis-testing/hypothesis-tests-significance-levels-alpha-p-values
How Hypothesis Tests Work: Significance Levels … – Statistics by Jim
You don’t know which one is true. Remember, just because you reject the null hypothesis it doesn’t mean the null is false. However, by using hypothesis tests to determine statistical significance, you control the chances of #1 occurring. The rate at which #1 occurs equals your significance level.

https://www.statology.org/hypothesis-testing

https://www.statology.org/hypothesis-testing
Introduction to Hypothesis Testing – Statology
A statistical hypothesis is an assumption about a population parameter.. For example, we may assume that the mean height of a male in the U.S. is 70 inches. The assumption about the height is the statistical hypothesis and the true mean height of a male in the U.S. is the population parameter.. A hypothesis test is a formal statistical test we use to reject or fail to reject a statistical …

https://pressbooks.lib.vt.edu/significantstatistics/chapter/null-and-alternative-hypotheses

https://pressbooks.lib.vt.edu/significantstatistics/chapter/null-and-alternative-hypotheses
5.5 Introduction to Hypothesis Tests – Significant Statistics
To find a p-value we use the test statistic to calculate the actual probability of getting the test result. Formally, the p -value is the probability that, if the null hypothesis is true, the results from another randomly selected sample will be as extreme or more extreme as the results obtained from the given sample.

https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Book:_Lies_Damned_Lies_or_Statistics_-_How_to_Tell_the_Truth_with_Statistics_(Poritz)/06:_Inferential_Statistics/6.03:_New_Page

https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Book:_Lies_Damned_Lies_or_Statistics_-_How_to_Tell_the_Truth_with_Statistics_(Poritz)/06:_Inferential_Statistics/6.03:_New_Page
6.3: Basic Hypothesis Testing – Statistics LibreTexts
FACT 6.3.4. The courts in the United States, as well as the majority of standard scientific and medical tests which do a formal hypothesis test, use the significance level of α = .05. In this chapter, when not otherwise specified, we will use that value of α = .05 as a default significance level. EXAMPLE 6.3.5.

https://openstax.org/books/statistics/pages/1-1-definitions-of-statistics-probability-and-key-terms

https://openstax.org/books/statistics/pages/1-1-definitions-of-statistics-probability-and-key-terms
1.1 Definitions of Statistics, Probability, and Key Terms
Probability is a mathematical tool used to study randomness. It deals with the chance of an event occurring. For example, if you toss a fair coin four times, the outcomes may not be two heads and two tails. However, if you toss the same coin 4,000 times, the outcomes will be close to half heads and half tails.
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