using a 5% level of significance, test the claim that the subject distribution of books in the library fits…

using a 5% level of significance, test the claim that the subject distribution of books in the library fits the distribution of books checked out by students. (a) what is the level of significance? 0.05 state the null and alternate hypotheses. o ho: the distributions are different. h₁: the distributions are the same. o ho: the distributions are different. h₁: the distributions are different. ho: the distributions are the same. h₁: the distributions are different. o ho: the distributions are the same. h₁: the distributions are the same. (b) find the value of the chi - square statistic for the sample. (round the expected frequencies to three decimal places. round the test statistic to three decimal places.)
Answer
Explanation:
Step1: Identify null and alternative hypotheses
The null hypothesis $H_0$ is that the distributions are the same, and the alternative hypothesis $H_1$ is that the distributions are different.
Step2: Recall significance level
The significance level $\alpha$ is given as 5% or 0.05.
Step3: Calculate expected frequencies
Let the total number of books checked out be $n=299 + 203+211 + 109+66=888$. For Business: $E_1 = 0.32\times888=284.160$ For Humanities: $E_2=0.25\times888 = 222.000$ For Natural Science: $E_3=0.20\times888=177.600$ For Social Science: $E_4=0.15\times888 = 133.200$ For All other subjects: $E_5=0.08\times888=71.040$
Step4: Calculate chi - square statistic
The chi - square statistic $\chi^{2}=\sum\frac{(O - E)^{2}}{E}$, where $O$ is the observed frequency and $E$ is the expected frequency. For Business: $\frac{(299 - 284.160)^{2}}{284.160}=\frac{14.84^{2}}{284.160}=\frac{220.2256}{284.160}\approx0.775$ For Humanities: $\frac{(203 - 222)^{2}}{222}=\frac{(- 19)^{2}}{222}=\frac{361}{222}\approx1.626$ For Natural Science: $\frac{(211 - 177.6)^{2}}{177.6}=\frac{33.4^{2}}{177.6}=\frac{1115.56}{177.6}\approx6.281$ For Social Science: $\frac{(109 - 133.2)^{2}}{133.2}=\frac{(-24.2)^{2}}{133.2}=\frac{585.64}{133.2}\approx4.397$ For All other subjects: $\frac{(66 - 71.040)^{2}}{71.040}=\frac{(-5.04)^{2}}{71.040}=\frac{25.4016}{71.040}\approx0.358$ $\chi^{2}=0.775 + 1.626+6.281+4.397+0.358 = 13.437$
Answer:
(a) 0.05; $H_0$: The distributions are the same, $H_1$: The distributions are different (b) 13.437