hello dears, please answer me these questions

State whether the following statements are True or False. (6 marks, 1 Mark each)

1. The hypothesis that an analyst is trying to prove is called the alternative hypothesis.
2. One-way ANOVA is used when analyzing the difference between more than two population means.
3. Ifr= 0.9, thenr²= 0.81, which means that 19% of the total variation inyremains unexplained.
4. The chi-square goodness-of-fit test cannot be used to test for normality.
5. Ifxandyhave a strong positive linear correlation,ris close to 0.
6. A test of independence CHI-SQUARE tests the null hypothesis that in a contingency table, the row and column variables are independent.

Section-II

Multiple choice questions. (6 marks, 1 Mark Each)

1. Which of the following is true of the null and alternative hypotheses?
2. Exactly one hypothesis must be true
3. both hypotheses must be true
4. It is possible for both hypotheses to be true
5. It is possible for neither hypothesisto be true

1. The form of the alternative hypothesis can be:
2. one-tailed
3. two-tailed
4. neither one nortwo-tailed
5. one or two-tailed

1. The value set for is known as:
2. the rejection level
3. the acceptance level
4. the significance level
5. the error in the hypothesis test

1. The ANOVA test is based on which assumptions?
2. the sample are randomly selected
3. the population variances are all equal to some common variance
4. the populations are normally distributed
5. the populations are statistically significant
6. All of the above
7. II and III only
8. I, II, and III only
9. I, and III only

1. The variance within samples (S²_p) for the variances 4, 2, and 6 is equal to:
2. 4
3. 5
4. 6
5. None

1. A regression between foot length (response variable in cm) and height (explanatory variable in inches) for 33 students resulted in the following regression equation: y = 10.9 + 0.23 x. One student in the sample was 73 inches tall then the predicted foot length for this student is.
2. 17.57 cm
3. 27.69 cm
4. 29 cm
5. 33 cm