…the xxxx age xx all race xxx drivers is xxxxxxx than xx xxxxxxxxxxxx below xxx amounts of xxxxxxxxxxxx (in milibecquerels, xx mBq,per xxxx xx calcum) xx a simple xxxxxx sample of xxxx teeth xxxxxxxx xxxx Pennsylvania xxxxxxxxx and New xxxx residents born xxxxx 1979 xxxxxx xx data xxxx “An Unexpected xxxx of Strontium xx in x x Deciduous xxxxx in the xxxxxxxxxxx by Mangano, xx al x xxxxxxx of xxx Total Environment, xxx 317) Use x 0 xx xxxxxxxxxxxx level xx test the xxxxx that the xxxx amount xx xxxxxxxxxxxx from xxxxxxxxxxxx residents is xxxxxxx than the xxxx amount xxxx xxx York xxxxxxxxxxxxxxxxxxxxx = 155 xxx 149 130 xxx 163 xxx xxx 156 xxx 138 161 xxx York = xxx 140 xxx xxx 134 xxx 128 140 xxx 140 137 xxxxxxxxxxxxxxxxxx hypothesis:Alternative xxxxxxxxxxxxxxx xxxxxxxxxxxxxxxxxxxxx p-value xxxxxxxxxxxxx to t x 3 2038, xxxx 11 xxxxxxx xx freedom,for x right-tailed test, xx 0 0042Decision:Since xxx p-value xx xxxx than xxx level of xxxxxxxxxxxxx the decision xx toreject xxx xxxx hypothesis xxxxxxxxxxxxx is sufficient xxxxxxxx at the x 05 xxxxx xx significance xx support theclaim xxxx the mean xxxxxx of xxxxxxxxxxxx xxxx Pennsylvania xxxxxxxxx is greater xxxx the mean xxxxxx from xxx xxxx residents xxxxxxxxxxxxx below are xxxxxxxxx (thousands of xxxxx and xxxxxxx xxx temperatures(degrees xxxxxxxxxxx recorded by xxx author during xxxxx Flight xxxx xxxx New xxxxxxx to Atlanta xx there sufficient xxxxxxxx to xxxxxxxx xxxx there xx a linear xxxxxxxxxxx between altitude xxx outside xxx xxxxxxxxxxxx Do xxx results change xx the altitudes xxx reported xx xxxxxx and xxx temperatures are xxxxxxxxx to the xxxxxxx scale? xxxx xxx P-value xx the critical xxxxx of r xxxxx a= x xxxxxxxxxx = x 10 14 xx 28 31 xxxxxxxxxxxxx = xx xx 24 xx -30 -41 xxxxxx following table xx…

Preview: hypothesis xxxxxxxxxxxxx is xxxxxxxxxx evidence to xxxxxxxx that there xx a xxxxxx xxxxxxxxxxx between xxxxxxxx and outside xxx temperature No, xxx results xx xxx change xx the altitudes xxx reported in xxxxxx and xxx xxxxxxxxxxxx are xxxxxxxxx to the xxxxxxx scale 10-3 xxxxx 6327 xx xxx 6 xxx thousand feet) xxx author recorded xxx temperature xxxx xxx best xxxxxxxxx temperature at xxxx altitude How xxxx the xxxxxx xxxxxxx to xxx actual recorded xxxxx of 48 xxxxxxx Fahrenheit xxxxx xxx regression xxxxxxxxx letting the xxxxx variable be xxx predictor xxx xxxxxxxx Find xxx indicated predicted xxxxx by following xxx prediction xxxxxxxxx xxxxxxxxxx in xxx strategy for xxxxxxxxxx values of x Altitude x x 10 xx 22 28 xx 33Temperature = xx 37 xx xx -30 xxx -54Using the xxxxx shown in xxx previous xxxxxxxx xxx coefficients xx the linear xxxxxxxxxx equation are:Slope:Intercept:The xxxxx squares xxxxxx xxxxxxxxxx equation xx then:The predicted xxxxxxxxxxx at an xxxxxxxx of xxxx xxxx is:This xxxxx differs from xxx actual temperature xx 48 xxx xx 1 xxxxx or 2 xx Section 11-2: x Flat xxxx xxx Missed xxxxxx A classic xxxxx involves four xxxxxxxxxx students xxx xxxxxx a xxxx and gave xx an excuse x flat xxxx xx the xxxxxx test, the xxxxxxxxxx asked the xxxxxxxx to xxxxxxxx xxx particular xxxx that went xxxx If they xxxxxx didn’t xxxx x flat xxxxx would they xx able to xxxxxxxx the xxxx xxxx that xxxx flat? The xxxxxx asked 41 xxxxx students xx xxxxxxxx the xxxx they would xxxxxx The results xxx listed xx xxx following xxxxx (except for xxx student who xxxxxxxx the xxxxxx xxx a x 05 significance xxxxx to test xxx author’s xxxxx xxxx the xxxxxxx fit a xxxxxxx distribution What xxxx the xxxxxx xxxxxxx about xxx ability of xxx.....