µÚÒ»Õ Ð÷ÂÛ Ò»¡¢½Ìѧ´ó¸Ù
£¨Ò»£©½ÌѧĿµÄºÍÒªÇó
1¡¢ÕÆÎÕͳ¼ÆÑ§µÄÈô¸É¸ÅÄ
£²¡¢ÊìϤͳ¼ÆÑ§Ó빫¹²ÎÀÉú»¥ÏàÍÆ¶¯µÄ¹ØÏµ £³¡¢Á˽âͳ¼ÆÑ§µÄѧϰ·½·¨Óë¼¼ÄÜ £¨¶þ£© ½ÌѧÄÚÈÝ
µÚÒ»½Ú£ºÒ½Ñ§ÖÐͳ¼ÆË¼Î¬µÄ½ø»¯ µÚ¶þ½Ú ͳ¼ÆÑ§Ó빫¹²ÎÀÉú»¥ÏàÍÆ¶¯
£¨Ò»£©Í³¼ÆÑ§Êǹ«¹²ÎÀÉúרҵÈËÔ±µÄµÃÁ¦¹¤¾ß £¨¶þ£©ÏÖ´ú¹«¹²ÎÀÉúÁìÓò¶Ôͳ¼ÆÑ§µÄÌôÕ½ µÚÈý½Ú ͳ¼ÆÑ§µÄÈô¸É¸ÅÄî £¨Ò»£©×ÜÌåÓëÑù±¾
£¨¶þ£©Í¬ÖÊÓë±äÒì £¨Èý£©±äÁ¿µÄÀàÐÍ £¨ËÄ£©²ÎÊýÓëͳ¼ÆÁ¿ £¨Î壩Éè¼ÆÓë·ÖÎö £¨Áù£©Òò¹ûÓëÁªÏµ µÚËÄ½Ú Ä¿±êÓë·½·¨
£¨Ò»£©»ù±¾¸ÅÄî¡¢·½·¨Óë¼¼ÄÜ £¨¶þ£©½ÌÓëѧµÄ·½·¨
¶þ¡¢½ÌѧÄÚÈݾ«Òª
1¡¢ÖØÒªÃû´ÊºÍ¸ÅÄî
×ÜÌ壨 population)¡¢Ñù±¾£¨ sample£©¡¢Í¬ÖÊÐÔ£¨homogeneity£©¡¢±äÒì(variation)¡¢·ÖÀà±äÁ¿(categorical)¡¢ÓÐÐò±äÁ¿(ordinal variable)¡¢¶¨Á¿±äÁ¿¡¢²ÎÊý(parameter)¡¢Í³¼ÆÁ¿(statistic)¡¢¸ÅÂÊ¡¢³éÑùÎó²î 2¡¢ÊÚ¿ÎÖØµã
1£®×ÜÌåÓëÑù±¾¡£ 2£®±äÁ¿µÄÀàÐÍ¡£ 3£®Í³¼ÆÍƶϵĺ¬Òå¡£
4£®ÏÖ´ú¹«¹²ÎÀÉúÁìÓò¶Ôͳ¼ÆÑ§µÄÌôÕ½¡£
Èý¡¢¸´Ï°Ìâ
£¨Ò»£© Ãû´Ê½âÊÍ
1£® ×ÜÌå 2. Ñù±¾ 3. ¶¨Á¿±äÁ¿ 4. ·ÖÀà±äÁ¿ £¨¶þ£©µ¥Ñ¡Ìâ
1¡¢ ³éÑùÎó²îÊÇÖ¸
A. ²»Í¬Ñù±¾Ö¸±êÖ®¼äµÄ²î±ð B. Ñù±¾Ö¸±êÓë×ÜÌåÖ¸±êÖ®¼äÓÉÓÚ³éÑù²úÉúµÄ²î±ð C. Ñù±¾ÖÐÿ¸öÌåÖ®¼äµÄ²î±ð D. ÓÉÓÚ³éÑù²úÉúµÄ¹Û²ìÖµÖ®¼äµÄ²î±ð E. ²âÁ¿Îó²îÓë¹ýʧÎó²îµÄ×ܳÆ
2¡¢ ΪÁËÓÉÑù±¾ÍƶÏ×ÜÌå, Ñù±¾Ó¦¸ÃÊÇ
A. ×ÜÌåÖÐÈÎÒâµÄÒ»²¿·Ö B. ×ÜÌåÖеĵäÐͲ¿·Ö C. ×ÜÌåÖÐÓÐÒâÒåµÄ²¿·Ö D. ×ÜÌåÖÐÓмÛÖµµÄ²¿·Ö E. ×ÜÌåÖÐÓдú±íÐԵIJ¿·Ö
3¡¢ Ëæ»úÑù±¾µÄÌØµãÓÐ
A. ÄÜÏû³ýϵͳÎó²î B. ÄÜÏû³ý²âÁ¿Îó²î C. ÄÜËõС³éÑùÎó²î D. ÄÜÏû³ýÑù±¾Æ«²î E. ÒÔÉ϶¼²»ÊÇ 4¡¢ ¸ãºÃͳ¼Æ¹¤×÷, ´ïµ½Ô¤ÆÚÄ¿±ê, ×îÖØÒªµÄÊÇ
A. Ôʼ×ÊÁÏÒª¶à B. Ôʼ×ÊÁÏÒªÕýÈ· C. ·ÖÎö×ÊÁÏÒªÏȽø D. ÕûÀí×ÊÁÏÒªÏêϸ E. ͳ¼Æ¼ÆË㾫¶ÈÒª¸ß 5¡¢ ¼ÆÊý×ÊÁÏ¡¢¼ÆÁ¿×ÊÁϺ͵ȼ¶×ÊÁϵĹØÏµÊÇ A. ¼ÆÁ¿×ÊÁϼæÓмÆÊý×ÊÁϺ͵ȼ¶×ÊÁϵÄһЩÐÔÖÊ B. ¼ÆÊý×ÊÁϼæÓмÆÁ¿×ÊÁϺ͵ȼ¶×ÊÁϵÄһЩÐÔÖÊ C. µÈ¼¶×ÊÁϼæÓмÆÁ¿×ÊÁϺͼÆÊý×ÊÁϵÄһЩÐÔÖÊ D. ¼ÆÊý×ÊÁÏÓмÆÁ¿×ÊÁϵÄһЩÐÔÖÊ E. ÒÔÉ϶¼²»ÊÇ
6¡¢ ͳ¼ÆÑ§ÖÐËù˵µÄ×ÜÌåÊÇÖ¸
A.ÈÎÒâÏëÏóµÄÑо¿¶ÔÏóµÄÈ«Ìå B.¸ù¾ÝÑо¿Ä¿µÄÈ·¶¨µÄÑо¿¶ÔÏóµÄÈ«Ìå C.¸ù¾ÝµØÇø»®·ÖµÄÑо¿¶ÔÏóµÄÈ«Ìå D.¸ù¾Ýʱ¼ä»®·ÖµÄÑо¿¶ÔÏóµÄ¸öÌå E.¸ù¾ÝÈËȺ»®·ÖµÄÑо¿¶ÔÏóµÄÈ«Ìå 7¡¢ ͳ¼Æ×ÊÁϵÄÀàÐͰüÀ¨
A.ƵÊý·Ö²¼×ÊÁϺ͵ȼ¶·ÖÀà×ÊÁÏ B.¶àÏî·ÖÀà×ÊÁϺͶþÏî·ÖÀà×ÊÁÏ C.Õý̬·Ö²¼×ÊÁÏºÍÆµÊý·Ö²¼×ÊÁÏ D.ÊýÖµ±äÁ¿×ÊÁϺ͵ȼ¶×ÊÁÏ E.ÊýÖµ±äÁ¿×ÊÁϺͷÖÀà±äÁ¿×ÊÁÏ
£¨Èý£©Ìî¿ÕÌâ
1¡¢Í³¼Æ¹¤×÷µÄ»ù±¾²½Öè°üÀ¨ Éè¼Æ ¡¢ ÕûÀí ¡¢ ÊÕ¼¯ ¡¢ ·ÖÎö ÆäÖÐ×î¹Ø¼üµÄÊÇ Éè¼Æ ¡£
2¡¢Í³¼Æ·ÖÎö°üÀ¨ ͳ¼ÆÃèÊö ºÍ ͳ¼ÆÍÆ¶Ï ¡£
3¡¢Îó²î¿É·ÖΪ Ëæ»ú²âÁ¿Îó²î ¡¢ ϵͳÎó²î ºÍ ³éÑùÎó²î , ÆäÖÐ ³éÑùÎó²î ²»¿É±ÜÃâ, µ«¿ÉÓóéÑùÉè¼ÆÀ´¿ØÖÆ¡£
4¡¢¸ÅÂÊÊÇÃèÊöËæ»úʼþ¿ÉÄÜ·¢ÉúµÄÁ¿£¬Óà P ±íʾ¡£Ëæ»úʼþ·¢ÉúµÄ¸ÅÂÊÔÚ 0.05 ºÍ0.01 Ö®¼ä ¡£
£¨ËÄ£©ÊÇ·ÇÌâ
1¡¢ÎÀÉúͳ¼ÆÑ§Ñо¿µÄÖ÷ÒªÄÚÈÝÊÇÉçÇøÒ½ÁÆ¡£
2¡¢Ëæ»úʼþ·¢ÉúµÄ¸ÅÂÊСÓÚ0.05»ò0.01ʱ£¬¿ÉÈÏΪÔÚÒ»´Î³éÑùÖÐËü²»¿ÉÄÜ·¢Éú¡£
£¨Î壩¼ò´ðÌâ
1¡¢Ëµ³öÁ½ÖÖ±äÁ¿ÀàÐͼ°Æäº¬Òå¡£ÊÔ¾ÙÀý˵Ã÷¡£ 2¡¢Ëµ³ö×ÜÌåÓëÑù±¾µÄÇø±ð¡£ÊÔ¾ÙÀý˵Ã÷¡£
¸´Ï°Ìâ²Î¿¼´ð°¸
£¨Ò»£©Ãû´Ê½âÊÍ
1£® ×ÜÌ壨population)£º¸ù¾ÝÑо¿Ä¿µÄÈ·¶¨µÄͬÖʵÄÑо¿¶ÔÏóµÄÈ«Ì壨ÐÔÖÊÏàͬµÄËù
Óй۲쵥λµÄijÖÖ±äÁ¿ÖµµÄ¼¯ºÏ£©¡£
2£® Ñù±¾£º(sample)£º´Ó×ÜÌåÖÐËæ»ú³éȡһ²¿·Ö¹Û²ìµ¥Î»½øÐй۲죬Õⲿ·Ö¹Û²ìµ¥Î»¶Ô
1
×ÜÌåÓдú±íÐÔ£¬³ÆÎªÑù±¾¡£(×ÜÌåÖÐÿһ¹Û²ìµ¥Î»¾ùÓÐÏàͬµÄ»ú»á±»³éÈ¡µ½Ñù±¾ÖÐÈ¥¡£
3£® ¶¨Á¿±äÁ¿£ºÓö¨Á¿·½·¨¶Ôÿ¸ö¹Û²ìµ¥Î»²â¶¨Ä³ÏîÖ¸±êµÄËùµÃµÄ×ÊÁÏ.Ò»°ãÓжÈÁ¿ºâ
µ¥Î»£¨Ò²³ÆÊýÖµ±äÁ¿»ò¼ÆÁ¿×ÊÁÏmeasurement data)¡£
4£® ·ÖÀà±äÁ¿£º±íÏÖΪ»¥²»ÏàÈݵÄÀà±ð»òÊôÐÔ¡£ÎÞÐò·ÖÀà±äÁ¿£¬¼´½«¹Û²ìµ¥Î»°´Ä³ÖÖÊô
ÐÔ»òÀà±ð·Ö×飬ÔÙÇåµã¸÷×éµÄ¹Û²ìµ¥Î»Êý£¬ºÍÓÐÐò·ÖÀ࣬¼´½«¹Û²ìµ¥Î»°´Ä³ÖÖÊôÐÔ£¨»òÐÔÖÊ¡¢±êÖ¾£©µÄ²»Í¬³Ì¶È·Ö×飬ȻºóÇåµã¸÷×éµÄÊý¾ÝËùµÃµÄ×ÊÁÏ¡£
£¨¶þ£©µ¥Ñ¡Ìâ
1.B 2.E 3.D 4.B 5.C 6.B 7.E £¨Èý£©Ìî¿ÕÌâ
1¡¢Éè¼Æ¡¢ÊÕ¼¯¡¢ÕûÀí¡¢·ÖÎö£¬Éè¼Æ¡£ 2¡¢Í³¼ÆÃèÊö¡¢Í³¼ÆÍƶϡ£
3¡¢ÏµÍ³Îó²î¡¢Ëæ»ú²âÁ¿Îó²î¡¢³éÑùÎó²î¡¢³éÑùÎó²î¡£ 4¡¢P¡¢0.05¡¢0.01 ¡£ £¨ËÄ£©ÊÇ·ÇÌâ 1¡¢´í 2¡¢¶Ô £¨Î壩¼ò´ðÌâ
1¡¢Ëµ³öÁ½ÖÖ±äÁ¿ÀàÐͼ°Æäº¬Òå¡£ÊÔ¾ÙÀý˵Ã÷¡£
¼ûÃû´Ê½âÊÍ¡£¾ÙÀýÂÔ¡£
2¡¢Ëµ³ö×ÜÌåÓëÑù±¾µÄÇø±ð¡£ÊÔ¾ÙÀý˵Ã÷¡£
¼ûÃû´Ê½âÊÍ¡£¾ÙÀýÂÔ¡£
µÚ¶þÕ ¶¨Á¿×ÊÁϵÄͳ¼ÆÃèÊö
Ò»¡¢½Ìѧ´ó¸Ù
£¨Ò»£©½ÌѧĿµÄºÍÒªÇó
1¡¢ÕÆÎÕÃèÊö¶¨Á¿±äÁ¿×ÊÁϼ¯ÖÐÇ÷ÊÆµÄͳ¼ÆÖ¸±êºÍÀëÉ¢Ç÷ÊÆµÄÌØÕ÷Êý£» 2¡¢ÊìϤƵÊý·Ö²¼ÌØÕ÷ºÍ³£ÓÃͳ¼ÆÍ¼±íµÄ»æÖÆ 3¡¢Á˽âÃèÊö·Ö²¼ÐÎ̬µÄÌØÕ÷Êý £¨¶þ£©½ÌѧÄÚÈÝ
µÚÒ»½Ú ƵÊýÓëÆµÊý·Ö²¼
£¨Ò»£© ÀëÉ¢ÐͶ¨Á¿±äÁ¿µÄƵÊý·Ö²¼ £¨¶þ£© Á¬ÐøÐͶ¨Á¿±äÁ¿µÄƵÊý·Ö²¼ µÚ¶þ½Ú ¶¨Á¿×ÊÁϵÄÌØÕ÷Êý
£¨Ò»£©ÃèÊö¼¯ÖÐÇ÷ÊÆµÄͳ¼ÆÖ¸±ê
£¨¶þ£©ÃèÊöÀëÉ¢Ç÷ÊÆµÄÌØÕ÷Êý £¨Èý£©ÃèÊö·Ö²¼ÐÎ̬µÄÌØÕ÷Êý µÚÈý½Ú ³£ÓÃͳ¼ÆÍ¼±í £¨Ò»£©Í³¼Æ±í
£¨¶þ£©Í³¼ÆÍ¼
¶þ¡¢½ÌѧÄÚÈݾ«Òª
1¡¢ÖØÒªÃû´ÊºÍ¸ÅÄî
¾ùÊý£¨mean)¡¢¼¸ºÎ¾ùÊý£¨ geometric mean£©¡¢ÖÐλÊý£¨median£©¡¢ÖÚÊý¡¢°Ù·ÖλÊý¡¢±ê×¼²î(standard deviation)¡¢·½²î(variance)¡¢±äÒìϵÊý(coefficient of variation)¡¢ 2¡¢ÊÚ¿ÎÖØµã
1£®ÆµÊý·Ö²¼¡£
2
2£®¼¯ÖÐÇ÷ÊÆÍ³¼ÆÖ¸±ê¡£ 3£®ÀëÉ¢Ç÷ÊÆµÄÌØÕ÷Êý¡£
4£®Í³¼Æ±íµÄ»æÖÆ¡£ 5£®³£ÓÃͳ¼ÆÍ¼µÄ»æÖÆ¡£
Èý¡¢¸´Ï°Ìâ
£¨Ò»£©Ãû´Ê½âÊÍ
1£®ÖÐλÊý 2.±ê×¼²î £¨¶þ£©µ¥Ñ¡Ìâ
1¡¢ µ±ÊýÖµ±äÁ¿·Ö²¼Ä©¶ËÎÞÈ·ÇÐÊý¾Ýʱ, ƽ¾ùÊýÒËÓÃ
A. ¾ùÊý B. ¼¸ºÎ¾ùÊý C. ÖÐλÊý D. Ïà¶ÔÊý E. ËÄ·ÖλÊý 2¡¢ ¼ÆËãij²¡µÄDZ·üÆÚ³¤¶Ì£¬¿ÉÓÃ
A¡¢ ËãÊõƽ¾ùÊý B¡¢ÖÐλÊý C¡¢¼¸ºÎ¾ùÊý B¡¢ ÖÐλÊý+¼¸ºÎ¾ùÊý E¡¢ËãÊõƽ¾ùÊý+¼¸ºÎ¾ùÊý 3¡¢ ·´Ó³Ò»×é³Ê¸ºÆ«Ì¬·Ö²¼×ÊÁÏÆ½¾ùˮƽµÄÖ¸±êÓãº
A¡¢ ƽ¾ùÊý B¡¢ÖÐλÊý C¡¢¼¸ºÎ¾ùÊý D¡¢¾ùÊý E¡¢A+B+C 4¡¢ ÏÂÁÐÓйØÖÐλÊý£¨M£©µÄÃèÊöÖУ¬²»ÕýÈ·µÄÊÇ A¡¢Ò»×é¹Û²ìÖµÖÐ×î´óÖµÓë×îСֵ֮²î
B¡¢Ò»×é¹Û²ìÖµ´ÓСµ½´óÅÅÁкó£¬Î»´Î¾ÓÖеĹ۲ìÖµ
C¡¢nÎªÆæÊýʱ£¬M=X £¨n+1£©/2 D¡¢nΪżÊýʱ£¬M=[X£¨n/2£©+X£¨n+1£©/2]/2 E¡¢M=P50 5¡¢ ÏÂÃæÄÄÒ»Ö¸±ê½ÏСʱ, ¿É˵Ã÷ÓÐÑù±¾¾ùÊýµÄ´ú±íÐԽϺÃ
A. ±äÒìϵÊý B. ±ê×¼²î C. ±ê×¼Îó D. ¼«²î E. ËÄ·Öλ¼ä¾à 6¡¢ ×ÜÌå±ê×¼²îÃèÊöµÄÊÇ
A. ËùÓиöÌåÖµ¶Ô×ÜÌå¾ùÊýµÄÀëÉ¢³Ì¶È B. ijÑù±¾¾ùÊý¶Ô×ÜÌå¾ùÊýµÄÀëÉ¢³Ì¶È C. ËùÓÐÑù±¾¾ùÊý¶Ô×ÜÌå¾ùÊýµÄÀëÉ¢³Ì¶È D. ijЩÑù±¾¾ùÊý¶Ô×ÜÌå¾ùÊýµÄÀëÉ¢³Ì¶È E. ËùÓÐij¸öº¬Á¿ÏàͬµÄÑù±¾¾ùÊý¶Ô×ÜÌå¾ùÊýµÄÀëÉ¢³Ì¶È 7¡¢ ÃèÊöÒ»×éÆ«Ì¬·Ö²¼×ÊÁϵıäÒì¶È£¬ÒËÓÃ
A¡¢È«¾à B¡¢±ê×¼²î C¡¢±äÒìϵÊý D¡¢ËÄ·ÖλÊý¼ä¾à E¡¢·½²î 8¡¢ ±äÒìϵÊýÔ½´ó£¬±íʾ
A¡¢Ïà¶Ô±äÒì³Ì¶ÈÔ½´ó B¡¢Æ½¾ùÊýÔ½´ó C¡¢±ê×¼²îԽС D¡¢Ñù±¾º¬Á¿Ô½´ó E¡¢±ê×¼²îÔ½´ó 9¡¢ ƵÊý·Ö²¼µÄÁ½¸öÖØÒªÌØÕ÷ÊÇ
A¡¢Í³¼ÆÁ¿Óë²ÎÊý B¡¢Ñù±¾¾ùÊýÓë×ÜÌå¾ùÊý
C¡¢¼¯ÖÐÇ÷ÊÆÓëÀëÉ¢Ç÷ÊÆ D¡¢Ñù±¾±ê×¼²îÓë×ÜÌå±ê×¼²î E¡¢Ñù±¾Óë×ÜÌå 10¡¢ ƵÊý·Ö²¼µÄÀàÐÍÓÐ
A¡¢¶Ô³Æ·Ö²¼ºÍƫ̬·Ö²¼ B¡¢¶Ô³Æ·Ö²¼ºÍÕýƫ̬·Ö²¼
C¡¢¶Ô³Æ·Ö²¼ºÍ¸ºÆ«Ì¬·Ö²¼ D¡¢Õýƫ̬·Ö²¼ºÍ¸ºÆ«Ì¬·Ö²¼ E¡¢Õý̬·Ö²¼ºÍƫ̬·Ö²¼ 11¡¢ ÊýÖµ±äÁ¿×ÊÁÏÆµÊý±íÖУ¬×éÖÐÖµµÄ¼ÆË㹫ʽÖдíÎóµÄÊÇ A¡¢£¨±¾×é¶ÎÏÂÏÞÖµ+ÏàÁÚÏÂÒ»×é¶ÎÏÂÏÞÖµ£©/2 B¡¢(±¾×éÏÂÏÞÖµ+±¾×é¶ÎÉÏÏÞÖµ)/2 C¡¢£¨±¾×é¶ÎÏÂÏÞÖµ+±¾×é¶ÎÉÏÏÞÖµ)/2 D¡¢±¾×é¶ÎÏÂÏÞÖµ+×é¾à/2 E¡¢±¾×é¶ÎÉÏÏÞÖµ-×é¾à/2 12¡¢ ³£ÓÃµÄÆ½¾ùÊýÖ¸±ê²»°üÀ¨
A¡¢ËãÊõƽ¾ùÊý B¡¢¼¸ºÎ¾ùÊý C¡¢¾ùÊý D¡¢¼«²î E¡¢ÖÐλÊý 13¡¢ ³£ÓÃÀëÉ¢Ç÷ÊÆÖ¸±ê²»°üÀ¨
A¡¢·½²î B¡¢¼«²î C¡¢±ê×¼²î D¡¢P50 E¡¢ËÄ·ÖλÊý¼ä¾à
3