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I wanted to test following hypothesys: "We suppose that math professors use new technology to make learning easier". I made survey with following questions

  1. I use computer programs such as Geogebra, desmos etc. every lesson.
  2. I use interactive tables, 3d printers. etc. Possible answers are: I completely agree, I mostly agree, I'm undecided, I mostly disagree, I don't agree at all.

What is the best possible way to test if my hypothesys is true in SPSS? I graded answers from -2(I don't agree at all) to 2 (I completely agree). I was thinking of using one sample t test for arithmetic variable X which is arithmetic mean of answers on given two questions. And put testing value to be 1.

Size of survey is $100$ persons. Normality assumption can be neglected? Any advice?

Please tell me if I am not clear enough and you need more detail to help me.

Mark
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  • Welcome to CV, Mark. This is neither a statistical nor a scientific hypothesis. You need to begin by thinking about how your survey responses might be related to the questions you are asking. For (much) more about hypotheses, please search our site. There are many other subquestions lurking here, too, such as how to grade the answers and how to test whatever hypothesis you might formulate. We can't answer such a broad question. See our [help] for more about how this site works. – whuber Jun 08 '23 at 18:42
  • @whuber. If i have ordinal variable X with 5 levels: 1 2 3 4 5 and data is not normal What is the best way to test if X >3? – Mark Jun 08 '23 at 23:08
  • No variable with five levels will have a Normal distribution. Furthermore, "$X\gt 3$" is not a hypothesis: it's a prediction. – whuber Jun 09 '23 at 11:48
  • @whuber Ok. Let's suppose X is countionuos variable and i have100 observed values of X. If i want to test hypothesys that proportion of $X>3$ is grreater that 0.8. Can I use binomial test in SPSS? – Mark Jun 09 '23 at 18:33
  • Sure: that's a standard application of binomial tests and I am confident SPSS can carry it out. – whuber Jun 09 '23 at 18:40

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