如样本来自某总体，χ²值小于3．84时，样本率来自总体率的概率是（）

A . 99% B . 95% C . <1.0% D . >5.0% E . <5.0%

A . A．99％ B . B．95％ C . C．<1．0％ D . D．>5．0％ E . E．<5．0％

A . 99% B . 95% C . ＜1.0% D . ＞5.0% E . ＜5.0%

A.(30.88，32.63) B.(31.45，31.84) C.(31.62，31.97) D.(30.45，31.74)

设<img src='https://img2.soutiyun.com/ask/2020-11-18/974563559946235.png' />为来自总体N(μ,σ2)的简单随机样本,<img src='https://img2.soutiyun.com/ask/2020-11-18/974563569546784.png' />为样本均值,已知<img src='https://img2.soutiyun.com/ask/2020-11-18/974563615737426.png' />是σ²的无偏估计(或ET=σ²),则常数C必为（） A.<img src='https://img2.soutiyun.com/ask/2020-11-18/974563625160965.png' /> B.<img src='https://img2.soutiyun.com/ask/2020-11-18/974563634424495.png' /> C.<img src='https://img2.soutiyun.com/ask/2020-11-18/974563643532016.png' /> D.<img src='https://img2.soutiyun.com/ask/2020-11-18/974563651352464.png' />

设<img src='https://img2.soutiyun.com/ask/2020-10-05/970778702595939.jpg' />是来自总体N(μ,σ²)的容量为n的两个相互独立的简单随机样本的均值,试确定n.使得两个样本均值之差的绝对值超过σ的概率大约为0.01.

设X₁，X₂，...X₂₀是来自正态总体N(0，0.3²)的一个样本，求： <img src='https://img2.soutiyun.com/ask/2020-07-31/965060656688145.png' />

设X₁，X₂，...X_n(n≥2)为来自正态总体N(0，1)的简单随机样本，<img src='https://img2.soutiyun.com/ask/2020-07-31/965062468168756.png' />为样本均值，S²为样本方差，则正确的是()。 <img src='https://img2.soutiyun.com/ask/2020-07-31/965062477119268.png' />

设<img src='https://img2.soutiyun.com/ask/2020-11-18/974563559946235.png' />是来自总体X~N(μ,σ²)的样本,其中μ已知,σ²＞0为未知参数,样本均值为<img src='https://img2.soutiyun.com/ask/2020-11-18/974563569546784.png' />,则σ²的最大似然估计量为（） A.<img src='https://img2.soutiyun.com/ask/2020-11-18/97456369359988.png' /> B.<img src='https://img2.soutiyun.com/ask/2020-11-18/97456370198636.png' /> C.<img src='https://img2.soutiyun.com/ask/2020-11-18/974563711307893.png' /> D.<img src='https://img2.soutiyun.com/ask/2020-11-18/974563720210402.png' />

设X₁，X₂，...，X₁₅是来自正态总体X~N(0，2²)的样本，记<img src='https://img2.soutiyun.com/ask/2020-11-26/97524949946665.jpg' />，求Y的分布。

设<img src='https://img2.soutiyun.com/ask/2020-11-18/974556250959185.png' />是来自总体X~N(μ，σ²)的简单随机样本,记<img src='https://img2.soutiyun.com/ask/2020-11-18/974556263092879.png' /> 求(I)E(Y); (II)D(Y).

A．各总体率不同或不全相同 B．各总体率均不相同 C．各样本率均不相同 D．各样本率不同或不全相同 E．样本率与总体率均不相同

x₁,x₂,…,x₃是来自总体N(μ,0.3²)的样本值,且样本的均值<img src='https://img2.soutiyun.com/ask/2020-09-30/97034316026152.png' />=21.8.则μ的置信度为0.95的置信区间为().

设总体X~N(0,σ²),X₁,X₂,...,X_n是来自总体X的一个样本. <img src='https://img2.soutiyun.com/ask/2020-09-30/970341001201029.png' />

设<img src='https://img2.soutiyun.com/ask/2020-11-18/974562941547865.png' />,是来自总体N(0,σ²)的简单随机样本,则可以构造未知参数σ²的无偏估计量(或数学期望为σ²的统计量)（） A.<img src='https://img2.soutiyun.com/ask/2020-11-18/974563028033812.png' /> B.<img src='https://img2.soutiyun.com/ask/2020-11-18/974563036905319.png' /> C.<img src='https://img2.soutiyun.com/ask/2020-11-18/974563044501754.png' /> D.<img src='https://img2.soutiyun.com/ask/2020-11-18/974563052164192.png' />

设<img src='https://img2.soutiyun.com/ask/2020-11-18/974555447058205.png' />为来自总体N(μ,σ²)(σ＞0)的简单随机样本;令<img src='https://img2.soutiyun.com/ask/2020-11-18/974555483547292.png' />则（） A.<img src='https://img2.soutiyun.com/ask/2020-11-18/974555514524064.png' /> B.<img src='https://img2.soutiyun.com/ask/2020-11-18/974555523007549.png' /> C.<img src='https://img2.soutiyun.com/ask/2020-11-18/974555531280022.png' /> D.<img src='https://img2.soutiyun.com/ask/2020-11-18/974555539864513.png' />

设X₁，X₂，...，X₉是来自正态总体X~N(0，2²)的样本，求a，b，c使得：<img src='https://img2.soutiyun.com/ask/2020-11-26/975249407058365.jpg' />

设<img src='https://img2.soutiyun.com/ask/2020-11-18/974556800064592.png' />为来自正态总体N(0,σ²)的简单随机样本,则统计量<img src='https://img2.soutiyun.com/ask/2020-11-18/974556809002103.png' />服从的分布为（） A.F(1,1) B.F(2,1) C.t(1) D.t(2)

A．拒绝H0 B．不拒绝H0 C．可以拒绝也可以不拒绝H0 D．可能拒绝也可能不拒绝H0