10.2 practice edited 2

Krista wants to compare males and females on number of hours of physical activity done per week. If this is measured as a ratio variable, what test should Krista use to determine if males and females differ on number of hours of physical activity done per week? O chi-square test of independence O ANOVA O paired-samples t test O Independent samples t test

Please do not give solution in image format thanku Load "diabetes" datasets from SKlearn and do the PCA for n=3, and plot the data.   1. What is the variance (%) covered by the first 3 components? How is this percentage of variance computed?   2. Is there any correlation between these three components?   3. Apply t-SNE on the same dataset, select the first 3 components and plot them.   4. Report the comparison between the results obtained using t-SNE and PC

Rental revenue (in millions of dollars) 4. Can movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least- squares regression line for the data. The equation for this line is y=3.30 +0.15x. Theater revenue, X Rental revenue, y (in millions of dollars) (in millions of dollars) 61.1 16.5 44.8 6.1 个y 18- 36.8 12.1 16 61.4 9.6 14- 13.3 9.7 12- 25.8 9.0 10- ャ★ 20.2 4.6 X. 8 26.3 7.7 7.3 2.6 48.5 15.9 27.7 11.7 20 30 70 28.3 2.8 Theater revenue 66.3 10.1 (in millions of dollars) 29.9 6.3 22

Interpret this statistic. Why was gamma applicable here? Please show your work.

Positive or negative correlation? the ciameter of an apple and its weight.

A sales force of a major restaurant chain was trying to determine which item would be more popular among customers.  They measured sales levels for one month after introducing both items onto the menu, and compared the frequency of sales between items.  What statistical procedure would you use to analyze this data and why? Z Score Comparing X to a Sample One Way Repeated Measures ANOVA Z Score Comparing a Sample to a Population Two Way Independent Measures ANOVA Single Sample t Pearson Product Moment Correlation Independent Measures t Chi Square Goodness of Fit Repeated Measures t One Way Independent Measures ANOVA

Effects of Preferences on Study Habits to the Academic Performance of Grade 11 students. What is the independent variable? * Effects Study Habits Academic Performance Grade 11 students Effects of Preferences on Study Habits to the Academic Performance of Grade 11 students. What is the dependent variable? Effects O Study Habits Academic Performance Grade 11 students Correlational Analysis on the Length of Study Period and the Academic Efficiency of Grade 12 students. What is the independent variable? Length of study period Academic efficiency Correlational Analysis if DV is length of study period IV is academic efficiency Correlational Analysis on the Length of Study Period and the Academic Efficiency of Grade 12 students. What is the dependent variable? * Length of study period Academic efficiency Correlational analysis if IV is length of study period, DV is academic efficiency Correlational Analysis between Mathematical Ability and Scientific Ability of Grade 12 students. What is the…

Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (x)251621529582722764268691436Cost(y) 251 35.6388.7383.7782.6699.86110.3253.8497.8374.68 a. A student calculates a linear model y=    x+    . (Please show your answers to two decimal places) b.Use the model to estimate the cost when number of pages is 207.Cost = $ (Please show your answer to 2 decimal places.)

Warming and Ice Melt The average depth of theHudson Bay is 305 feet. Climatologists were interestedin seeing if the effects of warming and ice melt wereaffecting the water level. Fifty-five measurements overa period of weeks yielded a sample mean of 306.2 feet.The population variance is known to be 3.57. Can it beconcluded at the 0.05 level of significance that theaverage depth has increased? Is there evidence of whatcaused this to happen?

What is dependent and independent variables? Fully write out the regression equation.What is the sample size used in this investigation? Fill in the blanks identified by ‘*’ and ‘**’.  Is β significant, at the 5% level of significance?

A special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage).  Statistic Test Group Control Group   Mean Damage X¯¯¯1X¯1 = $ 1,077   X¯¯¯2X¯2 = $ 1,800   Sample Std. Dev. s1 = $ 693   s2 = $ 814   Repair Incidents n1 =   16   n2 =   13      Source: Unpublished study by Thomas W. Lauer and Floyd G. Willoughby. (a) Construct a 90 percent confidence interval for the true difference of the means assuming equal variances. (Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 90% confidence interval is from  to  (b) Repeat part (a), using the assumption of unequal variances with Welch's…

A special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage).  Statistic Test Group Control Group   Mean Damage X¯¯¯1X¯1 = $ 1,153   X¯¯¯2X¯2 = $ 1,751   Sample Std. Dev. s1 = $ 663   s2 = $ 820   Repair Incidents n1 =   16   n2 =   14      Source: Unpublished study by Thomas W. Lauer and Floyd G. Willoughby. (a) Construct a 99 percent confidence interval for the true difference of the means assuming equal variances. (Round your final answers to 3 decimal places. Negative values should be indicated by a minus sign.) The 99% confidence interval is from  to  (b) Repeat part (a), using the assumption of unequal variances with Welch's…

A special bumper was installed on selected vehicles in a large fleet. The dollar cost of body repairs was recorded for all vehicles that were involved in accidents over a 1-year period. Those with the special bumper are the test group and the other vehicles are the control group, shown below. Each "repair incident" is defined as an invoice (which might include more than one separate type of damage).  Statistic Test Group Control Group Mean Damage x¯1x¯1 = $ 1,101 x¯2x¯2 = $ 1,766 Sample Standard Deviation s1 = $   696 s2 =   $ 838 Repair Incidents n1 =      12 n2 =       9  (a) Construct a 90 percent confidence interval for the true difference of the means assuming equal variances. (Round answers to 3 decimal places. Negative values should be indicated by a minus sign.) (b) Repeat part (a), using the assumption of unequal variances with Welch's formula for d.f. (Round answers to 2 decimal places. Negative values should be indicated by a minus sign.) (d) Construct separate…

Based it from the first photo, then answer the 3 questions