One feature smartphone manufacturers use in advertising is t…

One feature smartphone manufacturers use in advertising is the amount of time one can talk before recharging the battery. Below are 13 values from a random sample of the​ talk-time (in​ minutes) of smartphones running on​ lithium-ion batteries. 316 358 739 606 1058 910 358 476 441 441 680 441 500 A normal probability plot of the recharge times are given below.Screen Shot 2021-05-03 at 1.29.22 AM.pngReport the null and alternative hypothesis for a test of normality for the reacharge times (at 5% level of significance). Report your decision and  conclusion for the test of normality.

In a​ survey, respondents were asked to disclose their polit…

In a​ survey, respondents were asked to disclose their political affiliation​ (Democrat, Independent,​ Republican) and also answer the question​ “Would you be willing to pay higher taxes if the tax revenue went directly toward deficit​ reduction?” A contingency table is provided below with the survey results. Determine whether the results suggest there is an association between political affiliation and willingness to pay higher taxes to directly reduce the federal debt. Use the α=0.05 level of significance. What are the null and alternative hypotheses for this​ test?

The electric power consumed each month by a chemical plant i…

The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature x1 and the number of days in the month x2. The past year’s historical data are power temp days242    25    24236    31    21290    45    24274    60    25301    65    25316    72    26300    80    25296    84    25267    75    24276    60    25300    50    25261    38    23 Based on the scatterplot, describe the relationship between the temperature and power consumed. Are the two variables related and how (describe form, direction, strength)?             

A nutritionist found a significant relationship between the…

A nutritionist found a significant relationship between the number of grams of protein consumed per day, x 1 x_1 ​, and a person’s muscle mass index, y y .The relationship can be represented by the regression equation: y ^ = 18 + 0.4 x 1 \hat{y} = 18 + 0.4x_1 Predict the muscle mass index for a person who consumes 70 grams of protein per day.

A medical researcher wishes to try three different technique…

A medical researcher wishes to try three different techniques to lower the weight of obese patients. The subjects are randomly selected and assigned to one of three groups. Group 1 is given​ medication, Group 2 is given an exercise ​program, and Group 3 is assigned a diet program. At the end of six​ weeks, the reduction in each​ subject’s weight​ (in pounds) is recorded. Picture1.png Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Group 2 184.3 92.167 10.83 0.001 Error 15 127.7 8.511 Total 17 312.0 Compare the mean reduction in weights for the 3 groups with a parametric test. Report the decision and conclusion using a significance level of 5%.