A researcher believes there is a difference in the mean number of days before visible results begin to show among three types of facial creams that reduce wrinkle lines. Several consumers are randomly selected and given one of the three creams. Each participant then recorded the number of days it took to see results. The results are shown in the table. Based on these data, can you conclude that there is a difference between the mean number of days for these three creams? Use a 0.05 level of significance and assume the population distributions are approximately normal with equal population variances. Cream #1 20 20 14 17 15 Cream #2 13 15 15 11 13 Cream #3 14 18 15 16 17 10 Copy Data Step 1 of 2: Compute the value of the test statistic. Round any intermediate calculations to at least six decimal places, and round your final answer to four decimal places.

Hellen has just started a new years competition for her local climbing gym. There are two categories for this competition: singles and group (18 people). The rules are simple, put in the most hours in one months time and you get a guided tour to climb Ten Sleep canyon. She knows from running this competition over the years that the number of hours climbers at her gym spend training during this competiton is approximately normal and their mean competition hours per month in the gym are 24 hrs with a standard devaition of 6 hrs. Singles Distribution: X~N( , ) Group Distribution: x̄~N( , ) The winning single participant last year was in the 97 th percentile.... how many hours did the winner accumulate over the month?   One of Hellan's friends Dave put in 27.12 hours on the wall. What is the probablity that another individual will beat his time?   If someone puts in between 25.5-32.1 hours on the wall they get a Mountain Goat shirt. What percent of the singles competitors is expected to…

Given a data point x, what does the z-score tell us about x?

Uly grew pechay plants in their backyard using a special soil. When Uly harvested them, he measured their lengths (to the nearest mm) and group the results: Length (mm) Frequency 150 - 154 155 - 159 160 - 164 6. 165 - 169 8 170 - 174 175 - 179 11 180 - 184 185 - 189 3 What is the mean, median, mode, Q2, Ds, Pso of the data set in the problem? What can you say about the values that you've gotten. ? 2.

Statistics Question

The data table shows the ages in years of 10 men with systolic blood pressure.  The Age,x: 18, 26, 39, 46, 48, 64, 68, 31, 58, 22. and systolic blood pressure, y: 111, 123, 145, 130, 201, 183, 198, 131, 177, 119. The sample correlation coefficient r is 0.881. Remove the data entry for the man who is 48 years old and has a systolic blood pressure of 201 millimeters of mercury from the data set and find the new correlation coefficient.

The data table shows the ages in years of 10 men with systolic blood pressure.  The Age,x: 18, 24, 39, 45, 49, 63, 71, 29, 57, 22 and systolic blood pressure, y: 109, 121, 142, 133, 199, 186, 199, 132, 177, 117. The sample correlation coefficient r is 0.913. Remove the data entry for the man who is 49 years old and has a systolic blood pressure of 199 millimeters of mercury from the data set and find the new correlation coefficient.

A study was undertaken to see how accurate food labeling for calories on food that is considered reduced calorie. The group measured the amount of calories for each item of food and then found the percent difference between the measured and labeled amount of calories. The group also looked at food that was nationally advertised, regionally distributed, or locally prepared. Do the data indicate that at least one of the mean percent differences between the three groups is different from the others? The data summarized in the table below. National 3.15 Regional 36.75 Local Mean Standard Deviation Source Between Within 151 Total Fill in the hypotheses below: Ho: All the means are equal. Ha: At least one mean is different from the others. 7.4359 14.1558 SS 70.0204 Part 2 of 3 Complete the following ANOVA summary table (a 0.10). Round your answers to three decimal places, if necessary, and round any interim calculations to four decimal places. Sample Size df 20 12 8 MS - F P-value

Thanks. Why is Kathy's score considered better-is it because it is a posituve score? What does the Z score represent in this case?

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