19BCE1567_EDA_LAB4

Look at the MS Excel file (titled “Easy_Tough”) available in the Blackboard. This file carries data about average MathSAT scores of 297 colleges and universities located in the USA and they are all classified into two groups of colleges and universities. One group of institutions are tough to graduate for students and another group of institutions are easy to graduate for students. Using MS Excel, perform analysis of variance test to examine whether the mean MathSAT score between these two groups are same or not.  this is the data on excel Easy to graduate colleges Tough to graduate colleges 547 495 550 526 451 480 470 533 617 429 554 529 524 568 620 550 650 535 519 506 486 540 494 509 513 459 615 526 524 377 525 543 608 490 537 513 550 466 520 544 540 502 497 480 520 531 533 470 455 400 525 494 603 395 578 445 459 460 525 372 575 504 564 480 509 520 530 542 670 522 590 440 590 510 532 419 585 330 514…

Is there a relationship between one’s gender and whether one owns a dog, cat, or reptile? Use the data provided in the table below to answer the following question. -Show all the relevant statistical output How do I enter this data in SPSS and which test do I run? I input one column for each level but I am so confused and my output is weird looking. Do I run the One Way ANOVA in order to be able to calculate the effect size?      Dog Cat Reptile Row Totals Male 20 17 11 48 Female 25 23 5 53 Column totals 45 40 16 101

Sketch a possible smoothed histogram for a data set that has one mode and whose mean is greater than its median.

Courtney and Lexi wondered if the distribution of color was the same for name-brand gummy bears (Haribo Gold) and store- brand gummy bears (Great Value). To investigate, they randomly selected 6 bags of each type and counted the number of gummy bears of each color. The data are presented in the table. Courtney and Lexi use a chi-square test for homogeneity to assess differences between the gummy bear brands. Do these data provide convincing evidence that the distributions of color differ for name-brand gummy bears and store-brand gummy bears at the a = 0.05 level? Survey Type Which of the following is false? Name Store Total Red 137 212 349 O Because the P-value of 0.7698 > a = 0.05, we fail Green 53 104 157 to reject Ho. There is not convincing evidence of a difference in the distribution of color for name- Yellow 50 85 135 Color Orange brand and store-brand gummy bears. 81 127 208 White 52 O x? = 1.81 94 146 Total O The hypotheses are Ho: There is no difference in 373 622 995 the…

[Dataset: NES2004A_Student, Variables: enviro_therm, age] The results of an independent samples t-test are shown below. Are older people (those 30 or older) less sympathetic to the environmental movement than younger people (those younger than 30)? Or do younger people and older people not differ significantly in their feelings toward environmentalists?  Using the SPSS results, test your hypothesis. Table 3: Group Statistics   Respondent age N Mean Std. Deviation Std. Error Mean Feeling Thermometer: environmentalists >= 30 838 65.99 20.268 .700 < 30 205 66.20 19.923 1.391   Table 4: Independent Sample Test   Levene's Test for Equality of Variance t-test for Equality of Means F Sig. t df Sig. Mean Difference Feeling Thermometer: environmentalists Equal variances assumed .095 .758 -.132 1041 .895 -.208 Equal variances not assumed     -.134 315.445 .894 -.208 Formulate a null…

Plz choose correct option. And explain.

In a completely randomized design,  12 experimental units were used for the first treatment  15 for the second treatment,  and 20 for the third treatment.  Comple the following analysis of variance  (to 2 decimals, if necessary).  Treatments  F ? Treatment  P-Value ? Thank you

A research team used a latin square design to test three drugs A, B, C for their effect in alleviating the symptoms of a chronic disease. Three patients are available for a trial and each will be available for three weeks. The data for drug effects are given in the parentheses. Please make an ANOVA table including source of variation, sum of squares, degree of freedom, mean square, F-ratio and p-values.

Please help

{200, 400, 800, 1000, 2000} 1. Calculate mean and variance2. Normalize data by min-max normalization with min = 0 & max = 103. In z-score normalization, what value should first number (200) betransformed to?

What source of variation is found in an ANOVA summary table for a within subjects design that is not in an ANOVA summary table for a between subjects design. What happens to this source of variation in a between-subjects design?