StatCrunch logo (home)

Results shared by StatCrunch members
Showing 271 to 285 of 71656 results
Name/Notes Share Owner Created Size Views
Hypothesis test results:
μ : Mean of variable
H0 : μ = 350000
HA : μ < 350000
VariableSample MeanStd. Err.DFT-StatP-value
Selling Price342672.513160.87139-0.556764040.2904
Part 2c
Our p-value is .2904 which is greater than our alpha .07. This means that we cannot reject our null hypothesis and we do not have sufficient evidence to claim that the average selling price for homes in the region is less than $350,000.
yesjaclynkennedy92@gmail.comApr 23, 2016851B7
Hypothesis test results:
p : Proportion of successes
H0 : p = 0.4
HA : p < 0.4
ProportionCountTotalSample Prop.Std. Err.Z-StatP-value
p40711000.370.014770979-2.03100960.0211
Part 2b
Our p-value is .0211 which is less than alpha (=.05), so do not reject the null hypothesis and we can say that there is sufficient evidence to to say that the percentage of Americans who own guns has decreased since October 2001.
yesjaclynkennedy92@gmail.comApr 23, 2016921B8
Hypothesis test results:
Outcomes in : Favorite_Brand
Success : A
p : Proportion of successes
H0 : p = 0.6
HA : p > 0.6
VariableCountTotalSample Prop.Std. Err.Z-StatP-value
Favorite_Brand1242040.607843140.0342997170.228664780.4096
Part 2a
Since our p-value (.4096) is greater than our .10 level of significance, we do not reject our null hypothesis. Further, we do not have sufficient evidence to conclude that more than 60% of salsa lovers love Brand A more than Pace Salsa.
yesjaclynkennedy92@gmail.comApr 22, 2016993B6
Hypothesis test results:
μ : Mean of variable
H0 : μ = 48
HA : μ > 48
VariableSample MeanStd. Err.DFT-StatP-value
var180.6666672.6571672912.293795<0.0001
One Sample T-test
Reject the Null Hypothesis. The data provides sufficient evidence to conclude that the mean is > 48.
yesamvice01Apr 22, 2016836B13
Hypothesis test results:
μD = μ1 - μ2 : Mean of the difference between Post-Test and Pre-Test
H0 : μD = 0
HA : μD ≠ 0
DifferenceSample Diff.Std. Err.DFT-StatP-value
Post-Test - Pre-Test7.02380951.39831415.0230705<0.0001
Paired T
yescliffside985Apr 22, 2016949B25
Hypothesis test results:
μ : Mean of variable
H0 : μ = 48
HA : μ > 48
VariableSample MeanStd. Err.DFT-StatP-value
var180.6666672.6571672912.293795<0.0001
One Sample T-Test
yesamvice01Apr 22, 2016836B12
Simple linear regression results:
Dependent Variable: Hand (cm)
Independent Variable: Foot (cm)
Hand (cm) = -0.4352657 + 0.91328396 Foot (cm)
Sample size: 25
R (correlation coefficient) = 0.97262405
R-sq = 0.94599754
Estimate of error standard deviation: 0.57351799

Parameter estimates:
ParameterEstimateStd. Err.DF95% L. Limit95% U. Limit
Intercept-0.43526570.9538510323-2.40845691.5379255
Slope0.913283960.045499192230.819161711.0074062

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1132.52517132.52517402.90652<0.0001
Error237.56522640.32892288
Total24140.0904

Predicted values:
X valuePred. Ys.e.(Pred. y)95% C.I. for mean95% P.I. for new
40.636.6440630.90761525(34.766518, 38.521608)(34.423083, 38.865042)

Scandone Coreylee Spring 2016 Final Project (PREDICTION OF Y NOT WITHIN)
yesscandonec1Apr 22, 20163KB11
Simple linear regression results:
Dependent Variable: Hand (cm)
Independent Variable: Foot (cm)
Hand (cm) = -0.4352657 + 0.91328396 Foot (cm)
Sample size: 25
R (correlation coefficient) = 0.97262405
R-sq = 0.94599754
Estimate of error standard deviation: 0.57351799

Parameter estimates:
ParameterEstimateStd. Err.DF95% L. Limit95% U. Limit
Intercept-0.43526570.9538510323-2.40845691.5379255
Slope0.913283960.045499192230.819161711.0074062

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1132.52517132.52517402.90652<0.0001
Error237.56522640.32892288
Total24140.0904

Predicted values:
X valuePred. Ys.e.(Pred. y)95% C.I. for mean95% P.I. for new
19.117.0084580.1386524(16.721634, 17.295282)(15.787867, 18.229049)

Scandone Coreylee Spring 2016 Final Project (PREDICTION OF Y WITHIN)
yesscandonec1Apr 22, 20163KB9
Simple linear regression results:
Dependent Variable: Hand (cm)
Independent Variable: Foot (cm)
Hand (cm) = -0.4352657 + 0.91328396 Foot (cm)
Sample size: 25
R (correlation coefficient) = 0.97262405
R-sq = 0.94599754
Estimate of error standard deviation: 0.57351799

Parameter estimates:
ParameterEstimateStd. Err.DF95% L. Limit95% U. Limit
Intercept-0.43526570.9538510323-2.40845691.5379255
Slope0.913283960.045499192230.819161711.0074062

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1132.52517132.52517402.90652<0.0001
Error237.56522640.32892288
Total24140.0904
Scandone Coreylee Spring 2016 Final Project (REGRESSION SIMPLE LINEAR)
yesscandonec1Apr 22, 20163KB9
Simple linear regression results:
Dependent Variable: Hand (cm)
Independent Variable: Foot (cm)
Hand (cm) = -0.4352657 + 0.91328396 Foot (cm)
Sample size: 25
R (correlation coefficient) = 0.97262405
R-sq = 0.94599754
Estimate of error standard deviation: 0.57351799

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-0.43526570.95385103 ≠ 023-0.456324610.6524
Slope0.913283960.045499192 ≠ 02320.072531<0.0001

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1132.52517132.52517402.90652<0.0001
Error237.56522640.32892288
Total24140.0904
Scandone Coreylee Spring 2016 Final Project (REGRESSION SIMPLE LINEAR)
yesscandonec1Apr 22, 20163KB7
Correlation between Foot (cm) and Hand (cm) is:
0.97262405
Scandone Coreylee Spring 2016 Final Project (CORRELATION)
yesscandonec1Apr 22, 201661B9
Scandone Coreylee Spring 2016 Final Project (SCATTERPLOT)yesscandonec1Apr 22, 201617KB9
Simple linear regression results:
Dependent Variable: var2
Independent Variable: var1
var2 = 6.7217165 + 1.8231469 var1
Sample size: 25
R (correlation coefficient) = 0.69423029
R-sq = 0.48195569
Estimate of error standard deviation: 2.1859027

Parameter estimates:
ParameterEstimateStd. Err.DF95% L. Limit95% U. Limit
Intercept6.72171654.216252223-2.000265615.443699
Slope1.82314690.39412833231.00783042.6384635

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1102.24208102.2420821.3977470.0001
Error23109.897924.7781704
Total24212.14

Predicted values:
X valuePred. Ys.e.(Pred. y)95% C.I. for mean95% P.I. for new
1024.9531860.50473053(23.909071, 25.997301)(20.312323, 29.594049)
210.368013.4332175(3.265859, 17.470162)(1.9485098, 18.787511)

Simple Linear Regression
yes28998562_ecollege_msumlpApr 22, 20163KB9
Correlation matrix:
Per Pupil Spending, Public K-12 ($)State Per Capita GDP ($)State Minimum Wage ($ per hour)
State Per Capita GDP ($)0.59150071
(<0.0001)
State Minimum Wage ($ per hour)0.074473489
(0.6268)
0.18342743
(0.2278)
State Spending on Higher Education ($ per capita)-0.16270724
(0.2589)
-0.14019542
(0.3315)
0.14209905
(0.3518)
Correlation
yesmille976Apr 22, 20161KB7
State Minimum Wageyesmille976Apr 22, 201618KB3

<   9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28   >

Always Learning