A researcher examined the folklore that women can predict the sex of their unborn child better than chance (50-50) would suggest. She asked 104 pregnant women to predict the sex of their unborn child, and 57 guessed correctly. Using this data, the researcher conducted a test at 5% significance level. a) The parameter of interest is ["", "", "", ""] b) The null hypothesis is ["", "", "", ""] and the alternative hypothesis is ["", "", "", ""] c) The observed value is ["", "", "", ""] .
A researcher examined the folklore that women can predict the sex of their unborn child better than chance (50-50) would suggest. She asked 104 pregnant women to predict the sex of their unborn child, and 57 guessed correctly. Using this data, the researcher conducted a test at 5% significance level.
a) The parameter of interest is ["", "", "", ""]
b) The null hypothesis is ["", "", "", ""] and the alternative hypothesis is ["", "", "", ""]
c) The observed value is ["", "", "", ""] .
d) The researcher can reject the null for ["", "", "", ""] .
e) type I error ["", "", "", ""]
f) The p-value= ["", "", "", ""]
g) Result: Since ["", "", "", ""]
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Given:
Sample size, n=104
No. of pregnant women guessed sex correctly, x=57
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