It is claimed that the average weight of a bag of biscuits is 250 grams with a standard deviation of 20.5 grams Would you agree to this claim if a random
Would you agree to this claim if random sample of 50 bags of biscuits showed an average weight of 240 grams, using a 0.05 level of significance?
Null Hypothesis "H_0:\\mu=250"
Alternate Hypothesis "H_1:\\mu\\neq 250"
Standard deviation "\\sigma =20.5"
The population standard deviation is known and the sample size "\ud835\udc5b" is large "(\ud835\udc5b \u2265 30)"
Hence, the test static is "z=\\dfrac{\\bar x-\\mu}{\\sigma\/\\sqrt n}" and
the value is "z=\\dfrac{\\bar x-\\mu}{\\sigma\/\\sqrt n}=\\dfrac{240-255}{20.5\/\\sqrt{50}}=-5.174"
The test is two tailed (because "\ud835\udc3b_1" contains inequality "\u2260" ) and the critical values are "\ud835\udc67_{\u22120.025} = \u22121.96" and "\ud835\udc67_{0.025} = 1.96" . Since "\ud835\udc67 < \u2212\ud835\udc67_{0.025}" , i.e. the "\ud835\udc67" lies to the left of the critical value, we reject the null hypothesis.
We would not agree with a claim, the true average weight of a bag of biscuits is not 250 grams. Answer: the true average weight of a bag of biscuits is not 250 grams
Answer: The true average weight of a bag of biscuit is not 250 grams.
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