a seller claimed that her lip tint has a mean organic content of 90%.A rival seller asked 60 users of that lip tint and found that it has a mean organic content of 85% with a standard deviation of 5%.Test the claim at 1% level of significance and assumes that the population is approximately normally distributed
Hypothesized Population Mean "\\mu=90"
Sample Standard Deviation "s=5"
Sample Size "n=60"
Sample Mean "\\bar{x}=85"
Significance Level "\\alpha=0.01"
Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
"H_0: \\mu\\geq90"
"H_1: \\mu<90"
This corresponds to left-tailed test, for which a t-test for one mean, with unknown population standard deviation, using the sample standard deviation, will be used.
Based on the information provided, the significance level is "\\alpha=0.01,"
"df=n-1=59" ​​degrees of fredom, and the critical value for two-tailed test i"t_c=2.661759."
The rejection region for this left-tailed test is "R=\\{t:t<-2.391229\\}."
The "t" - statistic is computed as follows:
Since it is observed that "t=-7.745967<-2.391229=t_c," it is then concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu" is lessthan "90," at the "\\alpha=0.01" significance level.
Using the P-value approach: The p-value for left-tailed, the significance level "\\alpha=0.01, df=59, t=-4.47214," is "p<0.00001," and since "p<0.00001<0.01=\\alpha," it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean "\\mu" is less than "90," at the "\\alpha=0.01" significance level.
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