Hypothesis TestingThe hypothesis that there is an effect or a difference. It is what researchers hope to support. - A statistical method used to make decisions or inferences about population parameters based on sample data., Null Hypothesis (H₀) - The hypothesis that there is no effect or no difference. It is the hypothesis that researchers aim to test against., Alternative Hypothesis (H₁ or Ha) - The hypothesis that there is an effect or a difference. It is what researchers hope to support., Type I Error (α) - Type I error occurs when the null hypothesis is rejected when it is actually true. It is also known as a "false positive.", Type II error - A Type II error occurs when the null hypothesis is not rejected when it is actually false. It is also known as a "false negative.", Power of a test - The power of a test is the probability that it correctly rejects the null hypothesis when the alternative hypothesis is true. It is denoted as 1 - β., One-tailed test - A one-tailed test is a hypothesis test in which the alternative hypothesis specifies a direction of the effect or difference (e.g., greater than or less than a certain value)., Critical value - A critical value is the value that a test statistic must exceed for the null hypothesis to be rejected at a given significance level.,
0%
Hypothesis Testing
Ibahagi
Ibahagi
Ibahagi
ni
Gurpreetkaur13
I-edit ang Nilalaman
I-print
Naka-embed
Higit pa
Mga Assignment
Leaderboard
Flash cards
ay isang bukas na template. Hindi ito bumubuo ng mga marka para sa isang leaderboard.
Kailangan maglog-in
Estilo ng visual
Mga Font
Kailangan ang subscription
Mga pagpipilian
Magpalit ng template
Ipakita lahat
Mas marami pang format ang lilitaw habang nilalaro ang aktibidad.
Buksan ang mga resulta
Kopyahin ang link
QR code
Tanggalin
Ibalik ng awtomatikong pag-save:
?
